: Finance & Accounting, VAT, With holding Tax (WHT),
Must-Have/Mandatory • Extensive experience in the banking domain
• Fairly good understanding of accounting rules and process flows
• Good understanding of VAT rules (input VAT and Output VAT), Withholding tax rules
• Ability to interpret and understand accounting and tax compliance requirements
• Strong BRD writing and process mapping skills
• Should be analytical and detail oriented
• Excellent communication skills
• Experience working with cross functional teams
• Graduate in Accounting, Finance, Information systems
• 8+ years experience in Banking, Accounting, finance, Indirect tax, ERP systems
Good-to-Have/Desirable • Professional certifications (CA, CPA, ACCA, CIMA etc) will be an added advantage
• Hands-on Experience in VAT systems in GCC countries
• Knowledge of Accounting systems (e.g. Oracle financials) and transaction systems (e.g. Loans, Trade finance, Treasury systems)
Key Responsibilities:
• Responsible for requirement gathering for VAT system
• Business Requirements documentation and Gap Analysis
• Process review to identify gaps
• Current State Vs future state Assessment
• VAT and WHT compliance assessment including accounting and reporting
• Stakeholder engagement and workshops, present findings to stakeholders
Responsibilities
Must-Have/Mandatory • Extensive experience in the banking domain
• Fairly good understanding of accounting rules and process flows
• Good understanding of VAT rules (input VAT and Output VAT), Withholding tax rules
• Ability to interpret and understand accounting and tax compliance requirements
• Strong BRD writing and process mapping skills
• Should be analytical and detail oriented
• Excellent communication skills
• Experience working with cross functional teams
• Graduate in Accounting, Finance, Information systems
• 8+ years experience in Banking, Accounting, finance, Indirect tax, ERP systems
Good-to-Have/Desirable • Professional certifications (CA, CPA, ACCA, CIMA etc) will be an added advantage
• Hands-on Experience in VAT systems in GCC countries
• Knowledge of Accounting systems (e.g. Oracle financials) and transaction systems (e.g. Loans, Trade finance, Treasury systems)
Key Responsibilities:
• Responsible for requirement gathering for VAT system
• Business Requirements documentation and Gap Analysis
• Process review to identify gaps
• Current State Vs future state Assessment
• VAT and WHT compliance assessment including accounting and reporting
• Stakeholder engagement and workshops, present findings to stakeholders
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Role Category :Programming & Design
Role :: Finance & Accounting, VAT, With holding Tax (WHT),
Role Title: Trainer – Digital Advertising (AST Support)
Location: Bangalore/Hyderabad
Experience Required: Minimum 4+ years of Training experience in Digital Marketing / Sponsored / Display / Programmatic Advertising
Function: Amazon Advertising – Ad Success & Campaign Optimization Support
Role Overview:
The Trainer is responsible for capability development of teams supporting Amazon’s AST workflows across Sponsored Ads, Display Advertising, and Programmatic Ads.
Key Responsibilities:
• Deliver training on Sponsored & Display Advertising fundamentals (Search Terms, Bids, Budget, Audience strategy, Contextual targeting, Remarketing, frequency management).
• Facilitate training on Amazon Sponsored & DSP platform workflows including line item setup, creative trafficking, and pacing management.
• Develop training modules covering programmatic buying concepts (open exchange, private marketplace, deal IDs).
• Create SOP-based learning pathways for display optimizations (bid strategies, audience refinement, reach & frequency balancing).
• Conduct practical workshops on analyzing display metrics such as vCPM, viewability, CTR, CVR, RoAS, ACoS.
• Align training with evolving Amazon Ads display capabilities.
• Conduct assessments, certifications, and publish readiness reports.
Required Skills & Experience:
• Minimum 4+ years of digital marketing training experience.
• Strong knowledge of display advertising, DSP workflows, creative formats, and targeting strategies.
• Strong facilitation and instructional design skills.
Preferred Qualifications:
• Bachelor’s / Master’s degree.
• Amazon Advertising and DSP experience is an added advantage.
Responsibilities
Role Title: Trainer – Digital Advertising (AST Support)
Location: Bangalore/Hyderabad
Experience Required: Minimum 4+ years of Training experience in Digital Marketing / Sponsored / Display / Programmatic Advertising
Function: Amazon Advertising – Ad Success & Campaign Optimization Support
Role Overview:
The Trainer is responsible for capability development of teams supporting Amazon’s AST workflows across Sponsored Ads, Display Advertising, and Programmatic Ads.
Key Responsibilities:
• Deliver training on Sponsored & Display Advertising fundamentals (Search Terms, Bids, Budget, Audience strategy, Contextual targeting, Remarketing, frequency management).
• Facilitate training on Amazon Sponsored & DSP platform workflows including line item setup, creative trafficking, and pacing management.
• Develop training modules covering programmatic buying concepts (open exchange, private marketplace, deal IDs).
• Create SOP-based learning pathways for display optimizations (bid strategies, audience refinement, reach & frequency balancing).
• Conduct practical workshops on analyzing display metrics such as vCPM, viewability, CTR, CVR, RoAS, ACoS.
• Align training with evolving Amazon Ads display capabilities.
• Conduct assessments, certifications, and publish readiness reports.
Required Skills & Experience:
• Minimum 4+ years of digital marketing training experience.
• Strong knowledge of display advertising, DSP workflows, creative formats, and targeting strategies.
• Strong facilitation and instructional design skills.
Preferred Qualifications:
• Bachelor’s / Master’s degree.
• Amazon Advertising and DSP experience is an added advantage.
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Role Title: Team Lead – Advertising Solutions (AST Support)
Location: Bangalore/Hyderabad
Experience Required: 6 – 9 years total experience, (4+ years in people management)
Function: Amazon Advertising – Ads Success & Campaign Optimization Support
Role Overview
The Team Lead (TL) will oversee a team responsible for delivering campaign optimization, insights generation, and performance management support for Amazon’s advertisers through the Ad Success Team (AST) model. The role requires strong leadership, analytical and operational excellence to ensure delivery of high-quality recommendations, optimized campaign execution, and improved advertiser outcomes.
The TL will manage end-to-end team perf ormance, maintain process governance, ensure quality adherence, and partner with internal Amazon stakeholders to remove blockers, drive improvements, and deliver impact. This role does not involve direct communication with end advertisers; all engagement happens through Amazon internal teams.
Key Responsibilities
1. Team Leadership & People Management
• Lead a team of Vendor Account Managers / Analysts supporting Amazon Ads.
• Set performance goals, assign workloads, and monitor operational health.
• Conduct regular 1:1s, performance reviews, coaching, and upskilling activities.
• Drive team motivation, discipline, and retention through structured people practices.
• Ensure team adherence to SLAs, SOPs, and quality guidelines.
• Foster a culture of ownership, continuous learning, and operational excellence.
• Manage hiring, onboarding, and competency development for new team members.
2. Operational Delivery & Quality Governance
• Oversee end to end execution of AST workstreams including insights, optimizations, campaign builds, pacing, benchmarking, and performance readouts.
• Ensure high accuracy, advertiser-ready outputs, and self QA discipline within the team.
• Maintain defect standards, participate in QC audits, and drive RCA-based improvements.
• Manage day-to-day workflow, escalations, and operational risks.
• Monitor KPIs including g optimization completion, output turnaround time, and utilization.
3. Campaign Strategy, Insights & Optimization Oversight
(Performed through team review and guidance)
• Guide the team on optimization strategies for Sponsored Products, Sponsored Brands, Sponsored Display, DSP, and Amazon Ads products.
• Provide strategic direction for campaign improvements, budget pacing, and revenue acceleration opportunities (e.g., events, deals, NCCs).
4. Stakeholder & Cross-Functional Collaboration
• Serve as the primary point of contact for Amazon internal stakeholders (AEs, CM teams, Ops, QA, Product teams).
• Address blockers related to tools, data, workflows, or training.
• Manage daily/weekly governance calls, reviews, and alignment sessions with Amazon teams.
• Ensure timely communication of risks, dependencies, and delivery status.
5. Revenue, Productivity & Business Impact
• Drive performance outcomes such as revenue attainment, campaign activation, and optimization success rates.
• Identify opportunities to improve adoption across ad products.
• Ensure teams meet activity metrics: optimizations, insights generated, pacing checks, etc.
• Drive consistent improvements in team productivity, efficiency, and throughput.
6. Process Adherence & Continuous Improvement
• Ensure compliance with Amazon Ads SOPs, data handling rules, and operational protocols.
• Identify process gaps and propose enhancements to workflows or tools.
• Lead initiatives on best practices, standardization, and documentation.
• Track industry and Amazon Ads product updates and ensure team readiness.
Key Performance Indicators (KPIs)
• Team SLA adherence & delivery speed
• Quality accuracy and defect rate
• Optimization completion rate
• Revenue contribution / budget attainment
• Stakeholder satisfaction (AEs, CM teams)
• Team engagement, attrition, and performance readiness
Required Skills & Experience
• 6–9 years of relevant experience in digital advertising, e-commerce, analytics, or campaign management.
• Minimum 4+ years of people management experience.
• Strong understanding of advertising metrics: ROAS, CTR, CVR, CPC, NTB, ACOS, etc.
• Experience managing global stakeholders or cross-functional teams.
• Ability to coach teams on analytical thinking, insights generation, and campaign strategy.
• High proficiency in MS Excel, PowerPoint, data interpretation, and reporting.
• Excellent communication, stakeholder management, and problem-solving skills.
• Ability to work in a fast-paced, ambiguous environment with shifting priorities.
• Strong operational rigor with experience in SOP-driven delivery environments.
Preferred Qualifications
• Bachelor’s / Postgraduate degree
Additional Value Adds
• Experience with Amazon Ads tools (Campaign Manager, DSP, Ad Console, AMC)
• Experience supporting enterprise advertisers or large-scale ad programs
Responsibilities
Role Title: Team Lead – Advertising Solutions (AST Support)
Location: Bangalore/Hyderabad
Experience Required: 6 – 9 years total experience, (4+ years in people management)
Function: Amazon Advertising – Ads Success & Campaign Optimization Support
Role Overview
The Team Lead (TL) will oversee a team responsible for delivering campaign optimization, insights generation, and performance management support for Amazon’s advertisers through the Ad Success Team (AST) model. The role requires strong leadership, analytical and operational excellence to ensure delivery of high-quality recommendations, optimized campaign execution, and improved advertiser outcomes.
The TL will manage end-to-end team perf ormance, maintain process governance, ensure quality adherence, and partner with internal Amazon stakeholders to remove blockers, drive improvements, and deliver impact. This role does not involve direct communication with end advertisers; all engagement happens through Amazon internal teams.
Key Responsibilities
1. Team Leadership & People Management
• Lead a team of Vendor Account Managers / Analysts supporting Amazon Ads.
• Set performance goals, assign workloads, and monitor operational health.
• Conduct regular 1:1s, performance reviews, coaching, and upskilling activities.
• Drive team motivation, discipline, and retention through structured people practices.
• Ensure team adherence to SLAs, SOPs, and quality guidelines.
• Foster a culture of ownership, continuous learning, and operational excellence.
• Manage hiring, onboarding, and competency development for new team members.
2. Operational Delivery & Quality Governance
• Oversee end to end execution of AST workstreams including insights, optimizations, campaign builds, pacing, benchmarking, and performance readouts.
• Ensure high accuracy, advertiser-ready outputs, and self QA discipline within the team.
• Maintain defect standards, participate in QC audits, and drive RCA-based improvements.
• Manage day-to-day workflow, escalations, and operational risks.
• Monitor KPIs including g optimization completion, output turnaround time, and utilization.
3. Campaign Strategy, Insights & Optimization Oversight
(Performed through team review and guidance)
• Guide the team on optimization strategies for Sponsored Products, Sponsored Brands, Sponsored Display, DSP, and Amazon Ads products.
• Provide strategic direction for campaign improvements, budget pacing, and revenue acceleration opportunities (e.g., events, deals, NCCs).
4. Stakeholder & Cross-Functional Collaboration
• Serve as the primary point of contact for Amazon internal stakeholders (AEs, CM teams, Ops, QA, Product teams).
• Address blockers related to tools, data, workflows, or training.
• Manage daily/weekly governance calls, reviews, and alignment sessions with Amazon teams.
• Ensure timely communication of risks, dependencies, and delivery status.
5. Revenue, Productivity & Business Impact
• Drive performance outcomes such as revenue attainment, campaign activation, and optimization success rates.
• Identify opportunities to improve adoption across ad products.
• Ensure teams meet activity metrics: optimizations, insights generated, pacing checks, etc.
• Drive consistent improvements in team productivity, efficiency, and throughput.
6. Process Adherence & Continuous Improvement
• Ensure compliance with Amazon Ads SOPs, data handling rules, and operational protocols.
• Identify process gaps and propose enhancements to workflows or tools.
• Lead initiatives on best practices, standardization, and documentation.
• Track industry and Amazon Ads product updates and ensure team readiness.
Key Performance Indicators (KPIs)
• Team SLA adherence & delivery speed
• Quality accuracy and defect rate
• Optimization completion rate
• Revenue contribution / budget attainment
• Stakeholder satisfaction (AEs, CM teams)
• Team engagement, attrition, and performance readiness
Required Skills & Experience
• 6–9 years of relevant experience in digital advertising, e-commerce, analytics, or campaign management.
• Minimum 4+ years of people management experience.
• Strong understanding of advertising metrics: ROAS, CTR, CVR, CPC, NTB, ACOS, etc.
• Experience managing global stakeholders or cross-functional teams.
• Ability to coach teams on analytical thinking, insights generation, and campaign strategy.
• High proficiency in MS Excel, PowerPoint, data interpretation, and reporting.
• Excellent communication, stakeholder management, and problem-solving skills.
• Ability to work in a fast-paced, ambiguous environment with shifting priorities.
• Strong operational rigor with experience in SOP-driven delivery environments.
Preferred Qualifications
• Bachelor’s / Postgraduate degree
Additional Value Adds
• Experience with Amazon Ads tools (Campaign Manager, DSP, Ad Console, AMC)
• Experience supporting enterprise advertisers or large-scale ad programs
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Role Summary:
Senior individual contributor across 4–5 concurrent projects. You engage Business and Transformation Leaders to assess feasibility, deliver POCs in 1–4 weeks, define solution architecture, and build the complex pieces yourself. The quality of your upfront design determines how fast the team builds and how clean the testing is.
Key Responsibilities:
• Business Engagement & Feasibility
o Meet Business and Transformation Leaders to understand pain points and assess AI solution feasibility.
o Recommend Pro Code (LangGraph/AgentCore) or Low Code (Copilot Studio/Power Automate) based on the use case — document and communicate the rationale.
o Deliver working POCs within 1–4 weeks. Evaluate Forward Engineer POCs and decide to scale or rebuild based on quality.
o Present feasibility and POC outcomes to business stakeholders with clear scope, effort, and value framing.
• Architecture & Design
o Define solution architecture on AWS AgentCore and LangGraph — the primary stack for all Pro Code solutions.
o Invest heavily upfront in design robustness: strong architecture enables smooth builds; weak architecture amplifies every downstream problem.
o Design systems integration: API architecture, MCP connections, database and data platform access patterns, SAP, Salesforce, and internal systems.
o Define agent state management, tool orchestration, human-in-the-loop escalation, and data flow.
o Ensure all solutions comply with TR’s established security, governance, and compliance standards.
o Continuously evaluate emerging agentic AI frameworks, platform updates, and industry patterns — provide evidence-based recommendations on adoption timing and fit for TR's stack.
• Hands-On Build & Team Leadership
o Build complex and architecturally critical solution components directly — this is a coding role.
o Guide the Solutions Lead, Developer, and Associate through architecture, implementation patterns, and production readiness.
o Enable the Lead to own day-to-day decisions during build by ensuring architecture is unambiguous before stepping back.
o Use AI coding tools (Claude Code, GitHub Copilot, Cursor, Cline) to accelerate POC and development. Own all generated code fully.
Responsibilities
Required Skills & Experience:
Must Have:
o AWS AgentCore — Runtime, Memory, Tools Gateway — production hands-on required.
o LangGraph — Multi-agent state machines, conditional routing, checkpointing, HITL — primary framework.
o LangChain — Advanced chains, memory, custom tool integration.
o AWS Bedrock — Multi-model deployment, knowledge bases, guardrails.
o Database & AI Data Access — SQL proficiency, NL-to-SQL, LLM-powered query and insight layers. Snowflake a plus.
o Systems Integration — API design (REST), MCP server/client, A2A patterns, SAP/Salesforce/internal system connectors.
o RAG Architecture — Hybrid search, re-ranking, agentic RAG, graph RAG — select and justify per use case.
o Multi-Model Strategy — OpenAI, Claude, Gemini, Llama — provider trade-offs and cost governance.
o Pro Code vs Low Code — Evaluate each use case and recommend. Copilot Studio and Power Automate for the right automation scenarios.
o AI Development Tools — Claude Code, GitHub Copilot, Cursor, or Cline — accelerate delivery; own and fix all generated code in production.
o Python — Expert-level production code — you write, review, and fix code.
o Production Deployment — Docker, CI/CD, post-deployment monitoring, cost optimisation.
o Business Communication — Present feasibility and POC outcomes to business leaders clearly.
o Cloud Adaptability — Google Agentspace and Azure AI Foundry exposure welcome — AWS is the primary stack.
o Experience — 10+ years total; 3–5 years solution architecture with direct delivery accountability; production agentic AI systems deployed.
Good to Have:
o MCP / A2A — Production server/client implementations.
o Document Intelligence — Azure Document Intelligence, Textract, layout-aware chunking.
o Fine-Tuning — LoRA / QLoRA for domain adaptation.
o Graph Databases — Neo4j for knowledge graph RAG.
o Domain Experience — Legal, financial, or regulatory AI applications.
o Certifications — AWS Solutions Architect Pro, Google Professional Cloud Architect, Azure Solutions Architect Expert.
What We Expect From You
• Customer Obsession
o Proactively understand customer goals and deliver measurable value.
• Competitive Drive
o Set high standards, demonstrate tenacity, and ensure our solutions lead in quality.
• Challenging Mindset
o Foster fact-based dialogue, challenge assumptions, and encourage disruptive thinking.
• Action and Learning Velocity
o Build fast, fail fast, learn fast. Iterate rapidly and make data-driven decisions.
• Collaboration and Accountability
o Collaborate across a global team with humility, ownership, and mutual accountability.
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Key Responsibilities:
• Stakeholder Engagement & Discovery
o Engage internal SMEs to understand current processes and as-is workflows — translate into buildable AI requirements.
o Demo working solutions to internal stakeholders up to business leadership level.
o Support the Architect during feasibility and POC phases — contribute to rapid builds and validate fit.
o Maintain stakeholder communication throughout: progress updates, issue escalation, solution walkthroughs.
• Solution Design & Architecture
o Co-invest with the Architect in upfront solution design — design robustness directly determines build speed and test quality.
o Translate architecture into implementation plans — break down into assignable streams for Developer and Associate.
o Own day-to-day technical decisions during build when the Architect is focused on other projects.
o Identify architectural risks early and escalate before they become build or production problems.
• Build, Scale & Production
o Build complex solution components end-to-end on AWS AgentCore and LangGraph — hands-on coding role.
o Scale solutions from POC to production: performance, reliability, monitoring, and cost management.
o Debug production failures: hallucination patterns, retrieval degradation, agent loops, latency regressions.
o Use AI coding tools (Claude Code, GitHub Copilot, Cursor, Cline) to accelerate delivery. Own all generated code.
o Build Low Code automations (Copilot Studio, Power Automate) when use case and bandwidth allow.
• Team Leadership
o Guide Developer and Associate through implementation, code reviews, and debugging.
o Ensure the team uses AI tools effectively — accelerating delivery without sacrificing code understanding.
Responsibilities
Required Skills & Experience:
Must Have:
o LangGraph — Multi-agent state machines, parallel execution, checkpointing, HITL — non-negotiable.
o LangChain — Advanced chains, memory, custom tool integration.
o AWS AgentCore — Production deployment preferred; strong LangGraph depth with ramp path acceptable.
o AWS Bedrock — Model deployment, knowledge bases, guardrails.
o Database & AI Data Access — SQL proficiency, NL-to-SQL, LLM-powered query layers. Snowflake a plus.
o Systems Integration — REST API development, MCP awareness, enterprise system connectors.
o Advanced RAG — Hybrid search, re-ranking, query reformulation, retrieval evaluation.
o Evaluation Frameworks — RAGAS / TruLens, golden test sets, automated regression pipelines.
o Observability — LangSmith or LangFuse — agent tracing, production debugging.
o Python — Expert-level — design patterns, async, testing, CI/CD.
o Multi-Model — OpenAI, Claude, Gemini, Llama — trade-offs at production scale.
o Pro Code vs Low Code — Working knowledge of Copilot Studio and Power Automate; build when use case fits.
o AI Development Tools — Claude Code, GitHub Copilot, Cursor, or Cline — accelerate delivery; own and fix all generated code.
o Stakeholder Communication — Demo AI solutions to business stakeholders; translate SME knowledge into requirements.
o Experience — 5–8 years total; 2–4 years production GenAI/LLM; 12–24 months multi-agent LangGraph; 3+ systems owned post-deployment.
Good to Have:
o AWS AgentCore Deep — All services hands-on.
o MCP / A2A — Server/client production implementation.
o Google Agentspace / Azure AI Foundry — Production experience.
o Document Intelligence — OCR, layout-aware chunking.
o Fine-Tuning — LoRA / QLoRA for domain adaptation.
o Certifications — AWS ML Specialty, Azure AI Engineer, GCP ML Engineer.
What We Expect From You
• Customer Obsession
o Proactively understand customer goals and deliver measurable value.
• Competitive Drive
o Set high standards, demonstrate tenacity, and ensure our solutions lead in quality.
• Challenging Mindset
o Foster fact-based dialogue, challenge assumptions, and encourage disruptive thinking.
• Action and Learning Velocity
o Build fast, fail fast, learn fast. Iterate rapidly and make data-driven decisions.
• Collaboration and Accountability
o Collaborate across a global team with humility, ownership, and mutual accountability.
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Role Summary:
You build and own assigned solution streams across 1–2 concurrent projects. You implement agentic AI solutions on AWS AgentCore and LangGraph, contribute to POC delivery, and take full ownership of your components in production — including Pro Code builds and Low Code automations where the use case fits.
Key Responsibilities:
• Agentic AI Development
o Implement LangGraph agentic workflows on AWS AgentCore — state graphs, tool orchestration, conditional routing, error recovery.
o Build custom RAG pipelines end-to-end: chunking strategy, embeddings, vector retrieval, accuracy evaluation.
o Contribute to rapid POC delivery alongside the Architect and Lead.
o Write production-grade Python with FastAPI, Pydantic, testing, and proper error handling.
o Use AI coding tools (Claude Code, GitHub Copilot, Cursor, Cline) to accelerate builds. Own and fix all generated code in production.
Responsibilities
• Low Code & Automation
o Build Low Code automations using Microsoft Copilot Studio and Power Automate when use case and bandwidth allow.
o Understand Pro Code vs Low Code trade-offs — flag where Low Code is the better fit.
o Stay current on Low Code platform capabilities as they expand rapidly.
• Production Ownership & Collaboration
o Own assigned components in production — monitor, debug, optimise, iterate.
o Debug agent failures independently: context issues, tool errors, hallucination, retrieval degradation.
o Collaborate with the Lead on architecture translation and implementation planning.
o Mentor Associate Developers through code reviews and pair programming.
Required Skills & Experience:
Must Have:
o LangGraph — State graphs, conditional routing, checkpointing — primary framework, non-negotiable.
o LangChain — Chains, memory, custom tools — solid foundational knowledge.
o AWS AgentCore — Hands-on preferred; strong LangGraph depth with ramp path acceptable.
o AWS Bedrock — Model invocation, knowledge bases, guardrails.
o Database & AI Data Access — SQL proficiency, NL-to-SQL, LLM-powered query and insight patterns. Snowflake a plus.
o RAG Pipelines — End-to-end: chunking, embeddings, retrieval, evaluation.
o Vector Databases — Pinecone, ChromaDB, OpenSearch, or FAISS — hands-on with at least one.
o Python — Production-quality — type hints, async/await, FastAPI, Pydantic.
o Multi-Model — OpenAI, Claude, Gemini, Llama — understand trade-offs across providers.
o Pro Code vs Low Code — Copilot Studio and Power Automate — build when use case fits.
o AI Development Tools — Claude Code, GitHub Copilot, Cursor, or Cline — accelerate delivery; own and fix all generated code.
o Experience — 3–5 years total; 1–2 years GenAI/LLM; 6–12 months LangGraph; 2–3 projects with working code.
Good to Have:
o AWS AgentCore Deep — Runtime, Memory, Tools Gateway hands-on.
o MCP / A2A — Server/client implementation or protocol awareness.
o Enterprise Integration — SAP HANA, Salesforce connectors.
o Document Intelligence — OCR, layout-aware chunking.
o Evaluation Frameworks — RAGAS, Promptfoo, DeepEval.
o Certifications — AWS, GCP, or Azure AI/ML.
What We Expect From You
• Customer Obsession
o Proactively understand customer goals and deliver measurable value.
• Competitive Drive
o Set high standards, demonstrate tenacity, and ensure our solutions lead in quality.
• Challenging Mindset
o Foster fact-based dialogue, challenge assumptions, and encourage disruptive thinking.
• Action and Learning Velocity
o Build fast, fail fast, learn fast. Iterate rapidly and make data-driven decisions.
• Collaboration and Accountability
o Collaborate across a global team with humility, ownership, and mutual accountability.
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
We are looking for a Collibra Architect with hands-on Collibra platform expertise, who can join quickly and help stand up the Collibra platform, define the right best practices, processes, and governance model, and support the build-out of the data catalog, access workflow, data marketplace, DQ, and related Collibra capabilities.
Role Expectations: Lead initial Collibra setup, configuration, and architecture. Establish platform standards, best practices, workflows, and governance processes. Support design and build of the data catalog, business glossary, lineage, governance workflows, metadata management capabilities. Help define and implement data quality (DQ) processes and support Collibra DQ capabilities where applicable. Partner with business, data, and governance teams to onboard assets, domains, and stewardship processes. Provide both strategic guidance and hands-on execution to accelerate rollout.
Preferred Profile: Strong experience in Collibra architecture and implementation. (~5+ years) Hands-on knowledge of Collibra Data Catalog, governance workflows, and metadata management. Experience setting up data governance operating models, stewardship, and platform processes. Familiarity with data quality frameworks and Collibra DQ. Able to work independently in a fast-start environment and bring structure quickly.
Strong Collibra DG implementation depth + Ranger certification are non negotiable.
Responsibilities
We are looking for a Collibra Architect with hands-on Collibra platform expertise, who can join quickly and help stand up the Collibra platform, define the right best practices, processes, and governance model, and support the build-out of the data catalog, access workflow, data marketplace, DQ, and related Collibra capabilities.
Role Expectations: Lead initial Collibra setup, configuration, and architecture. Establish platform standards, best practices, workflows, and governance processes. Support design and build of the data catalog, business glossary, lineage, governance workflows, metadata management capabilities. Help define and implement data quality (DQ) processes and support Collibra DQ capabilities where applicable. Partner with business, data, and governance teams to onboard assets, domains, and stewardship processes. Provide both strategic guidance and hands-on execution to accelerate rollout.
Preferred Profile: Strong experience in Collibra architecture and implementation. (~5+ years) Hands-on knowledge of Collibra Data Catalog, governance workflows, and metadata management. Experience setting up data governance operating models, stewardship, and platform processes. Familiarity with data quality frameworks and Collibra DQ. Able to work independently in a fast-start environment and bring structure quickly.
Strong Collibra DG implementation depth + Ranger certification are non negotiable.
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
