Agentic AI Cloud Development Engineer

Hewlett Packard Enterprise; San Juan (PR); On-site; USD 140,000 - 220,000; Full time

Benefits offered by this job

Health & Wellbeing benefits

Personal & Professional Development

Inclusion & Flexibility

Job summary

Hewlett Packard Enterprise is seeking an Agentic AI Cloud Development Engineer to design and operationalize agentic workflows powering Marvis. The role blends data science, AI, and production engineering to build reliable, observable cloud-scale AI systems.

The candidate will work in a hybrid model, collaborate with network engineers, and contribute to tool-serving protocols, with a focus on LangGraph, MCP, and scalable architectures. 2–4 years in production ML/AI is typical."

Qualifications

• Bachelor’s or Master’s in computer science or related field.
• 2–4 years of production ML/AI system experience.
• Hands-on with generative AI and LLM-based apps.

Responsibilities

• Design and iterate agentic workflows using LangGraph.
• Develop MCP servers and tools, including tool schemas and playbooks.
• Build data streaming or batch processing over Kafka/Spark.
• Integrate and optimize LLM capabilities at production scale.
• Collaborate with network engineers and product managers to formalize problems as agentic workflows.
• Develop data transformation logic in sandboxed execution environments.
• Deploy and operate containerised services in Kubernetes with CI/CD pipelines.

Skills

Python

FastAPI

Spark

Kafka

Kubernetes

LLM

Education

Bachelor's degree in CS

Master's degree preferred

Tools

LangGraph

LangChain

Claude SDK

Docker

GitHub Actions

Job description

Agentic AI Cloud Development Engineer

This role has been designed as 'Hybrid' with a requirement that you will work on average 2 days per week from an HPE office.

Who We Are

Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyse, 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. Our culture thrives on finding new and better ways to accelerate what’s next. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE.

Job Description

Agentic AI Cloud Development Engineer builds and operationalises the core agentic workflows that power Marvis, Juniper’s next-generation AI assistant for network operations. Working at the intersection of data science, generative AI, and production engineering, this role is responsible for designing, implementing, and evaluating the reasoning pipelines, tool‑calling patterns, skills, and MCP server integrations that enable Marvis to autonomously diagnose, troubleshoot, and resolve complex networking problems. The ideal candidate combines practical experience with LLM‑based agentic frameworks (LangGraph preferred) with the software engineering discipline needed to deliver reliable, observable AI systems in a cloud‑native environment.

Responsibilities

• Design, implement, and iterate on agentic workflows using LangGraph.
• Develop and maintain MCP (Model Context Protocol) servers and skills — defining tool schemas, implementing domain‑specific tools, writing skill playbooks (SKILL.md), and managing server lifecycle (versioning, deployment, monitoring).
• Application design and development in streaming or batch mode over Kafka and Spark.
• Integrate and optimise LLM capabilities at production scale, including structured outputs, streaming, function/tool calling, prompt engineering, and robust error handling across agent execution paths.
• Collaborate with domain experts (network engineers, product managers) to formalise networking problems as agentic workflows, translating troubleshooting playbooks into skills, tools, and data pipelines.
• Develop data analysis and transformation logic that runs in sandboxed execution environments (Code Mode), including multi‑tool orchestration scripts, data aggregation, and visualisation.
• Deploy and operate containerised services in Kubernetes, contributing to CI/CD pipelines, container image management, health probes, and resource optimisation.
• Own observability for agentic workflows — implementing tracing, logging, cost tracking, and performance monitoring to ensure reliability of non‑deterministic systems in production.

Education and Experience Required

• Bachelor’s, Master’s in computer science degree.
• Typically, 2-4 years of experience building production ML/AI systems, with at least a year of hands‑on work with generative AI and LLM‑based applications.

Knowledge and Skills

Data Engineering (Required)

• Proficient Python developer with experience in production codebases (not just notebooks).
• Backend service development: FastAPI or equivalent; REST/GraphQL API design.
• Expertise in big data technologies such as Apache Spark, Kafka with at least 2 years of relevant experience.

Agentic AI & GenAI (Required)

• Experience with agentic orchestration frameworks: LangGraph (strongly preferred), LangChain, Claude Agent SDK, or equivalent — beyond prototypes.
• Hands‑on experience with MCP (Model Context Protocol) or equivalent tool‑serving protocols: tool schema design, server implementation, registry management.

Infrastructure & Production Systems (Required)

• Kubernetes: deploying, scaling, and managing workloads (Deployments, Services, ConfigMaps, Secrets, health probes).
• CI/CD pipelines for automated build, test, and deploy (Jenkins, GitHub Actions, ArgoCD, or similar).
• Container image management: building, tagging, versioning via Docker; familiarity with a container registry (ECR, GCR).
• Observability for AI systems: experience with tracing, monitoring, and logging tools (LangFuse, Prometheus, or equivalent).

Additional Preferred Skills

• Networking domain knowledge (wireless/wired diagnostics, network troubleshooting) is preferred but not required.
• Experience with AWS Bedrock, OpenSearch Serverless, or similar managed AI/ML services.
• Great written and verbal communication skills; ability to articulate technical designs to senior leadership.

Accessibility

HPE is committed to creating an inclusive and accessible workplace and encourages applications from all qualified individuals, including those with disabilities. If you believe you require accommodation during any stage of the application or interview process, please submit your request by completing our secure form linked here. Note: This option is reserved for applicants needing assistance/reasonable accommodation related to a disability.

What We Can Offer You

• Health & Wellbeing: We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing.
• Personal & Professional Development: We also invest in your career because the better you are, the better we all are. We have specific programmes 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: We are unconditionally inclusive in the way we work and celebrate individual uniqueness. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good.

Job: Engineering Job Level: TCP_02

HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT employer. We do not discriminate on the basis of race, gender, or any other protected category, and all decisions we make are made on the basis of qualifications, merit, and business need. Our goal is to be one global team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together.

Equal Employment Opportunity (EEO) Statement

HPE is an EEO Protected Veteran/ Individual with Disabilities. HPE will comply with all applicable laws related to employer use of arrest and conviction records, including laws requiring employers to consider for employment qualified applicants with criminal histories.

Equal Opportunity Employer (EEO)

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Accessibility

HPE is committed to creating an inclusive and accessible workplace and encourages applications from all qualified individuals, including those with disabilities. If you believe you require accommodation during any stage of the application or interview process, please submit your request by completing our secure form linked here. Note: This option is reserved for applicants needing assistance/reasonable accommodation related to a disability.

Disclosure of Sensitive Personal Data

Please ensure the resume you submit to us does not include any sensitive personal data. Sensitive personal data includes data revealing information about your racial or ethnic origin, political opinions, religious or philosophical beliefs, trade union membership, health, sex life or sexual orientation. To the extent the resume you submit does contain this type of personal data, you consent to the storing and processing of this data by HPE for the purpose of reviewing and managing your application.