via Career pages·Today
AI Trust Governance Architect
Infosys
Full-timeOn-site
Location:Bangalore, IndiaType:Full-timePosted:Today
Key Responsibilities
AI Assurance Architecture
- Architect platforms and frameworks for AI assurance, evaluation, and benchmarking
- Design systems for LLM, agent, and RAG evaluation across functional, non functional, and risk dimensions
- Define architectural patterns for Responsible AI, bias detection, explainability, and safety validation
- Build reusable assurance components supporting Business Assurance, Risk Assurance, and Reliability
Security, Reliability & Governance
- Architect AI testing and validation for security, privacy, prompt injection, and adversarial robustness
- Integrate red teaming, threat simulation, and chaos style validation for AI systems
- Define governance mechanisms for model usage, auditability, traceability, and compliance
- Ensure AI systems meet enterprise standards for resilience, fault tolerance, and observability
Platform & Engineering Enablement
- Design AI assurance platforms supporting automated test execution, reporting, and insights
- Enable integration with CI/CD pipelines to enforce AI quality gates
- Collaborate with QE engineering teams to embed AI assurance into the SDLC
- Mentor teams on AI risk identification and mitigation from an engineering perspective
Core Platforms, Frameworks & Tooling
- LLM and AI evaluation frameworks (PromptFoo, DeepEval, custom LLM evaluation harnesses)
- Prompt, RAG, and agent validation tooling (prompt testing frameworks, retrieval accuracy validators, agent workflow evaluators)
- Responsible AI and model risk tooling (Fairlearn, SHAP, Explainable AI libraries, toxicity and bias scanners)
- Security and adversarial testing tools for AI systems (PyRIT, Garak)
- AI red teaming and threat simulation frameworks (automated red team scripts, adversarial test suites for LLMs and agents)
- AI assurance automation and QE frameworks (Galileo)
- Observability for AI behavior and drift (Langfuse, Arize, Evidently, custom telemetry dashboards)
Client Orientation & Leadership
- Partner with product and engineering teams to identify AI Assurance opportunities and shape roadmaps
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