Principal - AI Platform & Governance Engineer - Business Consulting

), RBAC, and secure token exchange.

• Collaborate on CI/CD pipelines for agent deployment and policy updates.
• LLM Framework Experience
  • LLM Providers: OpenAI GPT, Anthropic Claude, Meta Llama, Azure OpenAI Service.
  • Agentic Platforms: AWS Bedrock, Microsoft Foundry, MoveWorks.
  • Frameworks & Tooling:
    • LangChain (prompt chaining, tool orchestration)
    • CrewAI (multi-agent collaboration)
    • Haystack (RAG pipelines)
    • Semantic Router (context-based routing)
    • AutoGen, LlamaIndex, DSPy (structured agent workflows)
    • MCP Protocol for interoperability.
• Awareness of model lifecycle management (versioning, evaluation, fine-tuning)

Required Skills

• Cloud-native engineering: Azure AKS, AWS EKS, container orchestration.
• Policy & governance: OPA/Rego, compliance frameworks (GDPR, SOC2, EU AI Act).
• Security: OAuth2/OpenID Connect, secrets management, data residency.
• Interoperability: API design (OpenAPI, JSON schemas), MCP protocol.
• DevOps: CI/CD, infrastructure-as-code (Terraform/Helm).

Client and Stakeholder Engagement:

• Build and maintain strong relationships with clients, understanding their needs and providing tailored IT solutions.
• Present project updates, findings, and recommendations to client executives in a clear and concise manner.
• Act as a trusted advisor, guiding stakeholders through IT transformation processes.

Team Leadership and Development:

• Lead project teams, ensuring clear communication, effective collaboration, and timely delivery of milestones.
• Mentor and develop team members, fostering continuous learning and professional growth.

Project / Program Management:

• Oversee project planning, budgeting, and resource allocation to ensure goals and timelines are met.
• Implement and monitor key performance indicators (KPIs) to track project success, including uptime, incident resolution time, and cost savings.

Basic Qualifications:

• Bachelor's degree or equivalent experience.
• Minimum of 7+ years in cloud architecture or AI platform engineering.
• Hands-on with agentic platforms or AI gateways.
• Familiarity with Responsible AI principles and enterprise compliance.
• Proven experience managing complex IT projects.
• Consulting or client-facing experience preferred.
• Excellent strategic thinking and problem-solving abilities.
• Strong communication and presentation skills.
• Proven leadership and team management capabilities.
• Ability to build and maintain client relationships.
• Ability to travel up to 75%.

Preferred Qualifications:

• Strong problem-solving skills and the ability to work independently.
• Solid program/project management skills, including interviewing clients, process mapping, project planning, and stakeholder communication.
• Strong presentation skills and experience writing successful project proposals.
• Candidates authorized to work for any employer in the United States without employer-based visa sponsorship are welcome to apply. Infosys is unable to provide immigration sponsorship for this role at this time.

This job description may not cover or contain a comprehensive listing of all activities, duties and responsibilities that are required of the employee.

Along with competitive pay, as a full-time Infosys employee you are also eligible for the following benefits: -

• Medical/Dental/Vision/Life Insurance
• Long-term/Short-term Disability
• Health and Dependent Care Reimbursement Accounts
• Insurance (Accident, Critical Illness, Hospital Indemnity, Legal)
• 401(k) plan and contributions dependent on salary level
• Paid holidays plus Paid Time Off