Distinguished Technologist - Enterprise Integration and Platform Native AI

Distinguished Technologist - Enterprise Integration and Platform Native AIDescription
-Role Summary We are seeking an exceptional Distinguished Technologist – Enterprise Integration & AI to lead HP’s enterprise integration and AI architecture at global scale. This role serves as a technical authority, strategic thought leader, and innovation driver, responsible for shaping HP’s integration fabric, API economy, and AI enablement strategy across Digital Tech.

The Distinguished Engineer will define long-term architecture vision, influence enterprise-wide technology decisions, and ensure scalable, secure, and AI-ready platforms that accelerate business outcomes. This role operates at the intersection of integration, APIs, data, and AI, driving foundational capabilities that power HP’s digital transformation and agentic AI future.

Key Responsibilities API & AI-First API Strategy and Governance Define and lead HP’s AI-first API strategy, ensuring all enterprise APIs are discoverable, reusable, and optimized for machine and agent consumption

Institutionalize the API-as-a-Product operating model, with clear ownership, lifecycle governance, and measurable business value

Own and enforce enterprise-wide API governance standards, covering design, lifecycle, security, and AI readiness

Define and operationalize the AI-Ready API Framework, including automated governance gates to ensure production readiness

Enable HP’s Unified API & Agentic AI Strategy, positioning APIs as the foundation for enterprise AI adoption

Establish standards for emerging integration paradigms, including event-driven architectures and MCP (Model Context Protocol)
Platform AI Enablement & Governance Orchestrate AI enablement and adoption across strategic platforms (SAP, Service Now, Adobe, Mule Soft, NOVA)
Own the enterprise AI/ML governance process, including AI board reviews, privacy, risk, and cybersecurity compliance

Evaluate and guide platform-native AI capabilities to ensure alignment with enterprise architecture and compliance requirements

Lead cross-functional AI enablement initiatives to drive consistent adoption and measurable business outcomes

Align platform AI initiatives with enterprise prioritization frameworks (e.g., Digital AI Nerve Center)
Evaluate AI tooling, vendor solutions, and partner ecosystems for alignment with integration and platform strategy

Enable AI-driven SDLC adoption for partner ecosystems (e.g., NOVA vendors), including onboarding, compliance, and knowledge integration

Lead/ support key tech initiatives

Lead evaluation of new and emerging tech, conduct POC, and lay down path for adoption.

Lead the EPS AI initiatives through AI/ML review board and cyber approval process.

Partner with Applied AI teams for knowledge sharing of Enterprise AI initiatives

Coach and mentor teams in their AI journey

Improve reuse, reduce duplication, and strengthen governance via API-as-a-product discipline

Enable scalable, enterprise-grade AI products (e.g., IBDF, AIOps) delivering measurable business value

Qualifications & Experience
15+ years of experience in enterprise architecture, integration, and platform engineering

Proven track record defining and implementing enterprise integration strategies and API ecosystems at scale

Deep expertise in integration patterns (event-driven, messaging, APIs, microservices) and cloud-native architectures

Experience leading AI/ML enablement, governance, and platform integration in large enterprises

Strong understanding of enterprise platforms (SAP, Service Now, Adobe, Mule Soft) and their AI capabilities

Demonstrated ability to influence executive stakeholders and drive cross-functional alignment

Recognized as a thought leader and technical authority, with experience mentoring senior architects and…