hp
hp2mo ago
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Sr Engineer - AI Agentic API Management

mid
OperationsOtherManagementSoftware
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Quick Summary

Key Responsibilities

Rate limiting, throttling, quota enforcement Data access control and PII protection Tool/API invocation governance for agentic systems Ensure compliance with enterprise security, audit,

Requirements Summary

API gateways (Azure APIM, AWS API Gateway) REST/GraphQL APIs, API lifecycle management Deep understanding of: AI/ML service integration patterns Authentication protocols (OAuth2, OIDC,

Technical Tools
OperationsOtherManagementSoftware

We are seeking an experienced engineering leader to design, build, and operate API Management layers for enterprise AI services. The role focuses on enabling secure, governed, and scalable access to managed AI services (LLMs, AI APIs, and agentic systems) through a centralized API gateway, aligned with Zero Trust principles and multi-cloud architecture.

This position plays a critical role in establishing API-first AI consumption patterns, ensuring policy enforcement, cost governance, observability, and secure integration across enterprise applications and agentic workloads.

Key Responsibilities

1. AI API Gateway Architecture & Design

  • Design and implement API Management (APIM) layers to expose AI services (LLMs, search, NLP, vision) securely

  • Establish northbound and southbound API patterns for external consumers and internal services

  • Build gateway-based abstraction layers to decouple consumers from underlying AI providers and models

2. Zero Trust Security & Identity Enforcement

  • Implement Zero Trust connectivity models for AI service exposure (identity-first, no implicit trust)

  • Enforce authentication, authorization, and token validation (JWT, OAuth, managed identity)

  • Integrate secure network controls such as private endpoints, NSGs, and TLS-based communication

3. Governance, Policy & Compliance

  • Define and enforce API policies for:

    • Rate limiting, throttling, quota enforcement

    • Data access control and PII protection

    • Tool/API invocation governance for agentic systems

  • Ensure compliance with enterprise security, audit, and regulatory standards

4. AI Service Integration & Abstraction

  • Enable unified access to multi-cloud AI services (Azure AI, AWS Bedrock, etc.)

  • Provide standardized API contracts and SDK patterns for application teams

  • Support agent-to-service communication via gateway-controlled interfaces

5. Cost Management & Optimization

  • Implement token-based and usage-based cost controls at the API gateway layer

  • Enable quota allocation by project/team/API key

  • Optimize usage through techniques such as caching and request deduplication

6. Observability & Reliability

  • Establish end-to-end telemetry (logs, metrics, tracing) for AI API calls

  • Integrate monitoring tools (App Insights / CloudWatch / Log Analytics)

  • Drive SRE practices for high availability and fault tolerance

7. Platform Engineering & Automation

  • Build reusable CI/CD pipelines, templates, and API onboarding frameworks

  • Define “golden paths” for onboarding applications to AI services via APIs

  • Automate API lifecycle management (publish, version, retire)

8. Cross-Team Collaboration

  • Partner with security, platform, AI/ML, and application teams

  • Guide developers on API integration with managed AI services

  • Drive adoption of standardized API gateway patterns

Required Qualifications

  • 10+ years of experience in API Management, Platform Engineering, or Cloud Architecture

  • Bachelor’s or Master’s degree in Information Technology, Computer Science, Engineering, or a related discipline, with relevant professional experience.
  • Strong experience with:

    • API gateways (Azure APIM, AWS API Gateway)

    • REST/GraphQL APIs, API lifecycle management

  • Deep understanding of:

    • AI/ML service integration patterns

    • Authentication protocols (OAuth2, OIDC, JWT)

    • Zero Trust architecture principles

  • Experience in cloud platforms (Azure and/or AWS)

  • Hands-on experience with microservices, containers, and Kubernetes

Key Competencies

  • Enterprise architecture & systems thinking

  • Security-first mindset (Zero Trust)

  • Strong stakeholder communication and cross-team alignment

  • Problem-solving in distributed, multi-cloud environments

  • Ability to define standards and drive adoption at scale

Sustainable impact is HP’s commitment to create positive, lasting change for the planet, its people, and our communities. This serves as a guiding principle for delivering on our corporate vision – to create technology that makes life better for everyone, everywhere.

HP is a Human Capital Partner – we commit to human capital development and adopting progressive workplace practices in India.

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Location & Eligibility

Where is the job
Location terms not specified

Listing Details

Posted
June 9, 2026
First seen
July 8, 2026
Last seen
August 31, 2026

Posting Health

Days active
0
Repost count
0
Trust Level
51%
Scored at
July 8, 2026

Signal breakdown

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hpSr Engineer - AI Agentic API Management