Distinguished Technologist - Enterprise Integration and Platform Native AI

HP•Houston, TX

About The Position

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.

Requirements

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, ServiceNow, Adobe, MuleSoft) 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 engineers.
Four-year or Graduate Degree in Computer Science, Information Technology, Software Engineering, or any other related discipline or commensurate work experience or demonstrated competence.
Typically has 12+ years of work experience, preferably in software designing & development, software architecture, programming languages, or a related field.

Nice To Haves

Programming Language/s Certification (Java, C++, Python, JavaScript, or similar)
Agile Methodology
Amazon Web Services
Application Programming Interface (API)
Automation
C++ (Programming Language)
Computer Science
DevOps
Docker (Software)
Full Stack Development
Java (Programming Language)
JavaScript (Programming Language)
Kubernetes
Microservices
Microsoft Azure
Python (Programming Language)
React.js
Scalability
Software Development
Software Engineering
SQL (Programming Language)

Responsibilities

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).
Orchestrate AI enablement and adoption across strategic platforms (SAP, ServiceNow, Adobe, MuleSoft, 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 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.
Act as a trusted advisor to executive leadership on enterprise architecture and AI strategy.
Drive innovation by identifying emerging technologies and translating them into enterprise capabilities.
Mentor and elevate the technical community, fostering architectural excellence across HP.
Represent HP externally with partners, customers, and industry forums as a leader in integration and AI.