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    Job · 20505260

    BENGALURU · FULLTIME

    AI Trust and Governance Architect

    Infosys

    Infosys

    Bengaluru · onsite · Posted 13d ago

    Sourced fromNaukri
    Undisclosed13–18 yrsfulltimeBengaluru

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    Section · 01

    About this role

    Roles ResponsibilitiesKey Responsibilities
    AI Assurance Architecture
  1. Architect platforms and frameworks for AI assurance, evaluation, and benchmarking
  2. Design systems for LLM, agent, and RAG evaluation across functional, non functional, and risk dimensions
  3. Define architectural patterns for Responsible AI, bias detection, explainability, and safety validation
  4. Build reusable assurance components supporting Business Assurance, Risk Assurance, and Reliability
    Security, Reliability Governance
  5. Architect AI testing and validation for security, privacy, prompt injection, and adversarial robustness
  6. Integrate red teaming, threat simulation, and chaos style validation for AI systems
  7. Define governance mechanisms for model usage, auditability, traceability, and compliance
  8. Ensure AI systems meet enterprise standards for resilience, fault tolerance, and observability
    Platform Engineering Enablement
  9. Design AI assurance platforms supporting automated test execution, reporting, and insights
  10. Enable integration with CI/CD pipelines to enforce AI quality gates
  11. Collaborate with QE engineering teams to embed AI assurance into the SDLC
  12. Mentor teams on AI risk identification and mitigation from an engineering perspective
    Core Platforms, Frameworks Tooling
  13. LLM and AI evaluation frameworks (PromptFoo, DeepEval, custom LLM evaluation harnesses)
  14. Prompt, RAG, and agent validation tooling (prompt testing frameworks, retrieval accuracy validators, agent workflow evaluators)
  15. Responsible AI and model risk tooling (Fairlearn, SHAP, Explainable AI libraries, toxicity and bias scanners)
  16. Security and adversarial testing tools for AI systems (PyRIT, Garak)
  17. AI red teaming and threat simulation frameworks (automated red team scripts, adversarial test suites for LLMs and agents)
  18. AI assurance automation and QE frameworks (Galileo)
  19. Observability for AI behavior and drift (Langfuse, Arize, Evidently, custom telemetry dashboards)
    Client Orientation Leadership
  20. Partner with product and engineering teams to identify AI Assurance opportunities and shape roadmaps
  21. Support client workshops, RFPs, and solution presentations
  22. Mentor engineers on AI/ML/Gen AI best practices and emerging technologies
  23. Translate complex AI concepts into business-friendly narratives
    Technical RequirementMust Have Qualifications
  24. 13+ years of experience in software engineering with 3+ years in AI with strong architecture ownership
  25. Hands on expertise in AI/ML systems, LLM evaluation, and assurance frameworks
  26. Experience with AI red teaming, model risk management, or AI audit tooling
  27. Strong understanding of Responsible AI, AI risks, and governance principles
  28. Experience with security testing, adversarial testing, and reliability engineering
  29. Proficiency in Python, automation frameworks, and cloud platforms

    Good to Have Skills
  30. Knowledge of regulatory or compliance considerations for AI systems
  31. Exposure to performance engineering, chaos engineering, or resilience testing for AI
  32. Contributions to internal platforms, frameworks, or standards
    Educational RequirementBachelor of Engineering
    Preferred SkillsDomain->Strategy->Communication Design->Design strategy for the respective domain,Domain->Information Security->Governance Risk and Compliance, Audits , Workflow,Foundational->Governance_COBIT->Assurance,Technology->AI-Generative AI->Conversational AI Platform,Technology->AI-Generative AI->Generative AI - Basic,Technology->AI-Generative AI->Prompt Engineering,Technology->AI-Responsible AI->Responsible AI
    Service LineInfosys Quality Engineering
  33. Sourced from naukri

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    Section · 02

    Skills

    AutomationCI/CD PipelinesAI evaluationcloud platformsDesign Strategyauditschaos engineeringcommunication designarchitectural patternsDesign SystemsConversational AiAI testingcloudArchitecturecomplianceArtificial Intelligence

    Section · Company

    About Infosys

    Infosys

    Infosys

    IT Services & Consulting

    323.6k+

    employees

    1981

    45 years old

    Bengaluru/Bangalore, Karnataka

    India

    About

    Infosys is a global leader in next-generation digital services and consulting.

    Industries

    IT Services & ConsultingConsulting

    Employee ratings

    48,765 reviews

    3.5/ 5

    Culture

    3.6

    Career growth

    2.6

    Work-life

    3.6

    Employees rate it well for

    Salary10252Work Life Balance6251Work Culture5404Learning4530Appraisal3780

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