Distinguished Technologist - Agentic AIOps & Self-Driving Networks

Distinguished Technologist, Agentic AIOps & Self-Driving NetworksThis role has been designed as ‘’Onsite’ with an expectation that you will primarily work from an HPE office.

Job Description:

Key responsibilities

• Own the E2E assurance architecture: cross-domain telemetry normalization, correlation, root cause, guarded remediation, and outcome verification.
• Define the shared substrate — a common model spanning intent, topology, config, identity, policy, and state
• Architect the agentic layer: planning and tool-use agents, MCP tool servers, and multi-agent orchestration across domain boundaries.
• Own the safety architecture: approval gates, policy enforcement at tool boundaries, remediation safety tiers, blast-radius limits, and deterministic rollback.
• Set the discipline for when to use deterministic graph reasoning, classical ML, or generative AI — and when not to.
• Establish evaluation as a shipped discipline — golden fault corpora, replayable incident harnesses, and MTTR and false-escalation rate as product metrics.
• Carry the strategy across BUs and influence executive and product stakeholders toward one substrate.
• Mentor engineers and develop the next generation of principal and distinguished technical leaders.

Requirements

• 15+ years in engineering and architectural leadership building and operating large distributed systems in production.
• Breadth across networking domains — campus, data center, WAN/SD-WAN, and security — with proven depth in at least three.
• Deep networking fundamentals: EVPN-VXLAN, BGP, SAI-level behavior, overlay/underlay, identity and policy enforcement, and streaming telemetry (gNMI/OpenConfig) at scale.
• Graph systems depth: knowledge or property graph modeling and graph algorithms applied to dependency, impact, and causality.
• Applied AI on both sides: LLM agents, tool calling, MCP, and agent evaluation, plus classical ML and time-series modeling — and the judgment to know which the problem calls for.
• Production AIOps or observability experience: correlation, anomaly detection, noise reduction, incident lifecycle.
• Cloud-native at scale: Kubernetes, microservices, Kafka, time-series/OLAP stores, hybrid and public cloud.
• Strong hands-on coding in Python and Go, sustained through design and architecture. Proficient with AI-first, spec-driven prototyping.
• Demonstrated impact at Principal or Distinguished level spanning multiple organizations, including the ability to run discovery across teams that don't report to you.
• Bachelor's, Master's, or PhD in computer science, engineering, or a related discipline preferred.

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.

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 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

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.

#unitedstates#executive, #networking

Job:

Engineering

Job Level:

TCP_07"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.
– United States of America: Annual Salary USD 194,000 - 412,500 in California
The listed salary range reflects base salary. Variable incentives may also be offered."

Information about employee benefits offered in the US can be found at https://myhperewards.com/main/new-hire-enrollment.html

Hewlett Packard Enterprise is 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.

Recruitment Fraud Alert

We have become aware of an increase in fraudulent recruitment activities in which individuals impersonate our company or authorized recruitment agencies to offer fake employment opportunities. These scams may occur through false websites, emails, social media, or chat-based applications and often aim to obtain personal information or money. Please note that Hewlett Packard Enterprise (HPE), its direct and indirect subsidiaries and affiliated companies, and its authorized recruitment agencies/vendors will never charge a candidate a registration fee, hiring fee, or any other fee in connection with its recruitment and hiring process. We also never request personal information such as back account details, Social Security numbers, or national IDs via social media or chat applications.

All legitimate job opportunities will come through official company channels, and candidates are responsible for verifying the credentials of any third party claiming to represent the company. Any reliance on fraudulent communication is at the individual’s own risk, and HPE disclaims legal liability for any resulting damages. If you suspect recruitment fraud, do not share personal information or make any payments and report the incident to your local authorities immediately.