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Principal AI Architect (Enterprise AI Lifecycle & Architecture)

robotics technologies • United States
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AI Summary

Designs and governs enterprise-scale AI architecture, including AI Development Lifecycle (DLC), LLM/Agentic AI systems, and platform infrastructure. Leads greenfield/brownfield AI initiatives, establishes AI governance standards, and enables scalable AI adoption across engineering teams. Requires deep expertise in AI strategy, model deployment, observability, and responsible AI principles.

Key Highlights
Mandatory expertise in AI Development Lifecycle (AI DLC) including strategy, model development, deployment, governance, and optimization.
Leadership in designing and implementing both greenfield and brownfield AI initiatives at enterprise scale.
Establish AI governance standards, architecture patterns, and an Internal Developer Platform (IDP) for scalable AI adoption.

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Key Responsibilities
Design and govern enterprise-scale AI architecture, including AI lifecycle standards, governance, and operating models.
Establish architecture patterns for LLM-enabled workflows, agentic systems, and hybrid AI systems.
Develop and implement AI governance frameworks, including model provenance tracking, compliance controls, and observability standards.

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Technical Skills Required
AI Development Lifecycle (AI DLC) LLM & Agentic AI Systems Enterprise AI Architecture & Governance

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Nice to Have
Experience with MLOps, LLMOps, and ModelOps pipelines.
Familiarity with regulated environments requiring governance, audit readiness, and compliance oversight.

Job Description

The Associate Principal, AI Optimization & Delivery – Solution Architecture serves as the technical cornerstone of the AI Optimization & Delivery organization. As a principal individual contributor with a greenfield mandate, this role acts as the primary technical design authority for AI Optimization & Delivery and is responsible for establishing the architecture, standards, governance, and operating model for enterprise-scale AI adoption.

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Job Overview
Posted Nov 11, 2026
Employment Contract
Experience Mid-Senior level
Location United States
Category Machine Learning
Company robotics technologies
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