Principal - AI Platform & Governance Engineer - Business Consulting

Infosys Limited; Los Angeles (CA); On-site; USD 120,000 - 160,000; Full time

Benefits offered by this job

Medical/Dental/Vision/Life Insurance

401(k) plan

Paid Time Off

Job summary

Infosys Limited is looking for a Principal Consultant specializing in AI Platform & Governance Engineering in Los Angeles, California. The role involves owning enterprise AI gateways, implementing AI architectures on cloud platforms like Azure and AWS, and leading project teams. Candidates should have at least 7 years of experience in cloud architecture or AI platform engineering, with strong problem-solving and communication skills. Additional benefits include medical insurance and a 401(k) plan.

Qualifications

• Minimum of 7+ years in cloud architecture or AI platform engineering.
• Hands-on with agentic platforms or AI gateways.
• Consulting or client-facing experience preferred.

Responsibilities

• Design and implement AI Gateway architecture on Azure/AWS.
• Develop and enforce global/local policies using OPA.
• Lead project teams, ensuring clear communication and effective collaboration.

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)

Education

Bachelor's degree or equivalent experience

Tools

Azure

AWS

MCP Protocol

Terraform

Job description

Principal Consultant – AI Platform & Governance Engineer – Infosys Consulting

Position Overview

As a Principal Consultant specializing in AI Platform & Governance Engineer you own Enterprise AI Gateway, Local Execution Gateways, and enforce policy and compliance across federated AI architecture.

Key Responsibilities

• Design and implement AI Gateway architecture (Enterprise & Local) on Azure/AWS.
• Configure MCP servers for interoperability with agentic platforms (MoveWorks, Bedrock, Foundry).
• Develop and enforce global/local policies using OPA (Open Policy Agent).
• Implement Responsible AI controls (bias detection, provenance, moderation).
• Ensure identity federation (Entra ID/Okta), 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.

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

Infosys provides equal employment opportunities to applicants and employees without regard to race; color; sex; gender identity; sexual orientation; religious practices and observances; national origin; pregnancy, childbirth, or related medical conditions; status as a protected veteran or spouse/family member of a protected veteran; or disability.