HP
Distinguished Technologist - Enterprise Integration and Platform Native AI
$183K–$292K
Spring, Texas, United States of America +1 · Principal · Full-time · Posted Oct 8, 2026
- Location
- Spring, Texas, United States of America
Austin, Texas, United States of America - Experience
- 15+ years in enterprise architecture, integration, and platform engineering; typically 12+ years in software design and development, software architecture, programming languages, or a related field.
- Education
- Four-year or graduate degree in Computer Science, Information Technology, Software Engineering, or a related discipline, or commensurate work experience or demonstrated competence.
About the job
Leads HP’s enterprise integration, API, and platform AI architecture, governance, and adoption across the company.
What you'll do
- Define enterprise API strategy, governance, and AI-ready API standards, including API-as-a-Product practices and emerging integration paradigms.
- Lead platform AI enablement and AI/ML governance, including reviews for privacy, risk, cybersecurity, and enterprise alignment.
- Guide technology evaluations and adoption, partner with Applied AI teams, and mentor architects and engineers.
What they ask for
- 15+ years in enterprise architecture, integration, and platform engineering.
- Proven experience defining and implementing enterprise integration strategies and API ecosystems at scale.
- Expertise in integration patterns and cloud-native architectures, and experience leading AI/ML enablement, governance, and platform integration in large enterprises.
- Strong understanding of SAP, ServiceNow, Adobe, and MuleSoft; ability to influence executive stakeholders and drive cross-functional alignment.
Nice to have
- Programming language certification (Java, C++, Python, JavaScript, or similar).
Pay
$182,750 to $292,400 USD annually (base salary)
Tools
SAP, ServiceNow, Adobe, MuleSoft, NOVA, MCP (Model Context Protocol), Amazon Web Services, Kubernetes
AI focus
Leads AI-first API strategy and AI/ML governance; enables and evaluates platform-native AI, supports agentic AI and AI-driven SDLC adoption, and guides enterprise AI initiatives and products.
Model-written summary · the original posting is authoritative