AI/ML Engineer - Agentic

Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today’s complex world.

The AI/ML Engineer – Agentic is a senior individual contributor responsible for designing, building, and operating a production-grade agentic orchestration platform, including multi-agent workflows and MCP server–based tool infrastructure. The role focuses on enterprise-scale LLM integration, shared retrieval and memory services, and high‑performance backend systems that power agent execution. This position owns reliability, observability, and cloud-native operations for non-deterministic agentic systems in production.

Responsibilities:

• Design, build, and own a production-grade agentic orchestration platform, implementing scalable multi-agent workflows using frameworks such as LangGraph or equivalent.
• Architect, develop, and operate the MCP server infrastructure, including inter-agent communication, tool/server registries, domain isolation, versioning, and lifecycle management.
• Integrate and operate LLM services at enterprise scale, supporting streaming, structured outputs, tool/function calling, and robust error handling across agent workflows.
• Build and maintain retrieval and memory services for agentic systems, including RAG pipelines, OpenSearch-backed vector stores, hybrid search, and relevance optimization.
• Develop and operate high-performance backend services (FastAPI, gRPC, async systems, messaging) that power orchestration, tool execution, and agent runtime behavior.
• Own observability and reliability for non-deterministic systems, delivering end-to-end tracing, monitoring, and cost/performance visibility for agent executions.
• Manage cloud-native infrastructure and deployment, including Kubernetes workloads, containerized services, CI/CD pipelines, and resource optimization (CPU/memory, autoscaling).

Education and Experience Required:

• Bachelor’s degree in computer science, engineering, information systems, or closely related quantitative discipline. Master’s desirable.
• Typically, 4-7 years’ experience.

Knowledge and Skills:

• Production experience with agentic frameworks: LangGraph (preferred), Claude Agent SDK, or equivalent (not just prototypes)
• Deep understanding of multi-agent architectures: supervisor/worker patterns, hierarchical agent graphs, ReAct loops, ReWoo
• Hands-on with inter-agent communication protocols: MCP (Model Context Protocol), A2A, tool registry / server registry
• LLM API integration at scale: structured outputs, streaming, function/tool calling, error handling
• RAG pipeline design and optimization: chunking strategies, re-ranking, hybrid search - Know what knobs to turn for what issues
• Vector store experience: OpenSearch or equivalent
• Applied ML intuition: fine-tuning concepts, prompt engineering, evaluations, Qlora, PEFT
• Backend development: FastAPI, gRPC, Kafka, Redis, message queues, Async System design: Python, API Design GraphQL and/or REST at enterprise scale
• Observability and monitoring for non-deterministic systems: LangFuse, Prometheus, or equivalent
• Kubernetes: deploying, scaling, and managing workloads (Deployments, Services, ConfigMaps, Secrets)
• Container image management: building, tagging, versioning, and pushing images via Docker; familiarity with a container registry (ECR, GCR, Docker Hub)
• CI/CD pipelines for automated build and deploy (GitHub Actions, Jenkins, ArgoCD, or similar)
• Resource management: CPU/memory limits, autoscaling (HPA/VPA), health probes

What We Can Offer You:

• Health & Wellbeing: comprehensive suite of benefits that supports physical, financial and emotional wellbeing
• Personal & Professional Development: programs catered to helping you reach any career goals you have , whether you want to become a knowledge expert in your field or apply your skills to another division
• Unconditional Inclusion: celebrating individual uniqueness, valuing varied backgrounds, and succeeding here

The expected salary/wage range for this position is provided below. Actual offer may vary from this range based upon geographic location, work experience, education/training, and/or skill level.