AI LLM Technology Architecture Sr Mgr

Role Overview

Required Product and Technical Skills

• At least 10 years of product management experience with enterprise software products or platforms.
• At least 3 years of hands-on experience with AI-native products using LLMs, agents, retrieval systems, and workflow automation.
• Strong software engineering literacy in Python and SQL, with the ability to reason about system design, APIs, data pipelines, and cloud-native architecture.
• Experience working in client-facing, high-ambiguity environments and influencing senior stakeholders.
• Strong ownership mindset.

Product Direction and Discovery

• Set product vision, define target users, identify winning opportunities, and establish what the team should not build.
• Partner with client business, technology, and operations leaders to discover high-impact, repeatable GenAI and agentic AI problems.
• Balance customer value, technical feasibility, commercial potential, speed, quality, and strategic fit.

AI Product Engineering

• Define agent behavior, tool use, orchestration, memory, uncertainty handling, and human-in-the-loop escalation.
• Guide architecture for LLM-powered applications, including prompt workflows, tool-calling agents, and RAG patterns.
• Make credible technical decisions and unblock engineering work in mission-critical environments.

Delivery and Ownership

• Lead the lifecycle from customer problem discovery and prototyping through design-partner validation, production, and scaled adoption.
• Create product briefs, requirements, decision documents, and acceptance criteria.
• Own post-launch adoption, usage, retention, customer value, and product quality.

Commercial Validation and Leadership

• Validate desirability, usability, technical performance, business value, and willingness to pay with design partners.
• Guide architecture, coding standards, and engagement quality as the product and technical authority within the RDE pod.
• Mentor CL7 and CL8 product and engineering talent on AI patterns, product judgment, and AI-native working methods.

Education and Experience

• Any graduation is listed as the required qualification.
• The source lists 13 to 16 years of experience for the designation and 10 or more years of product management experience for the role.