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TT/Principal-AI Platform & Governance Engineer - Business Consulting

Infosys Consulting - Location not specified

Posted Jun 10, 2026

Benefits

Parental leave
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Non-birth-parent leave
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Family-building benefits
  • Fertility benefits: Not verified
  • Adoption assistance: Not verified
  • Surrogacy assistance: Not verified
Mental health support
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Relocation assistance
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Childcare support
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Learning budget
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Verification
Not verified checked Jun 7, 2026
Salary
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401(k) match
Reported from DOL Form 5500 industry filing (not employer-specific)

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Market context

U.S. role benchmark (BLS OEWS)
$55,390 U.S. median for this role
Projected growth (BLS Employment Projections)
-0.1% - Decline

Matched to SOC 25-2021 - Teaching and Education aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function
Teaching Education From the posting source checked Jun 20, 2026
Seniority
Principal From the posting source checked Jun 20, 2026

Schedule

Shift type
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Weekend work
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Application

Cover letter
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Assessment
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Deadline
Not stated

Where they hire

State eligibility is not yet verified.

About this role

TT/Principal-AI Platform & Governance Engineer - Business Consulting Principal Consultant - AI Platform & Governance Engineer - Infosys Consulting Infosys Consulting's Tech Transformation Advisory Practice is seeking a Principal Consultant specializing in AI Platform & Governance Engineer 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

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