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About HP Inc.
HP Inc. is a global technology company that develops and sells personal computers, printers, and related supplies and services. Its products include laptops, desktops, workstations, and printing solutions for consumers and businesses worldwide.
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Distinguished Technologist - Enterprise Integration and Platform Native AI serves as a technical authority and innovation driver for enterprise integration and AI architecture. The role focuses on shaping the integration fabric, API economy, and AI enablement strategy to create scalable, secure, and AI-ready platforms. Key responsibilities include defining an AI-first API strategy, establishing governance standards, and orchestrating AI adoption across major platforms like SAP, ServiceNow, Adobe, and MuleSoft. The position involves leading technical initiatives such as event-driven architectures, Model Context Protocol, and automated governance gates for production readiness. Required skills include expertise in microservices, cloud-native architectures, and tools including AWS, Azure, Docker, Kubernetes, and Python. Candidates must possess deep knowledge of integration patterns to solve complex problems regarding enterprise-wide data flow, API lifecycle management, and the development of agentic AI capabilities.
Define and lead an AI-first API strategy to ensure enterprise APIs are optimized for machine and agent consumption.
Establish and enforce enterprise-wide API governance standards covering design, lifecycle, security, and AI readiness.
Orchestrate AI enablement and adoption across major platforms including SAP, ServiceNow, Adobe, and MuleSoft.
Manage the enterprise AI/ML governance process, including risk assessment, privacy compliance, and cybersecurity reviews.
Evaluate emerging technologies and conduct proofs of concept to establish paths for enterprise adoption.
Develop scalable, enterprise-grade AI products that deliver measurable business value across the organization.
Mentor technical teams and senior architects on integration patterns and AI journey milestones.
What we're looking for
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 including SAP, ServiceNow, Adobe, and MuleSoft.
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.
A four-year or graduate degree in Computer Science, Information Technology, Software Engineering, or a related field is required (or commensurate experience).
Memory Architecture
CPU
GPU
NPU
FPGA
MATLAB
Electrical Engineering
Electronic Engineering
Schematic Capture
Simulations
Systems Design
Debugging
New Product Development