Responsibilities

Set the multi-year technical strategy for AI platform development, partnering with senior EPD leadership on long-term vision
Architect foundational AI systems that serve multiple product teams, including LLM orchestration frameworks, MCP infrastructure, and agent patterns
Own technical decisions with organization-wide impact where the right answer is ambiguous or contested
Define engineering-wide quality standards and best practices for AI development, establishing patterns that scale across teams
Drive technical alignment across the Agentic SDK team and product teams consuming AI capabilities
Invest deeply in coaching P4 engineers, helping them develop toward staff-level scope and strategic thinking
Represent CaptivateIQ's technical perspective in industry discussions, open-source contributions, or technical publications

What you’ll do

Architect and lead the technical strategy for AI platform development
Define and maintain architectural direction for AI capabilities across product teams
Establish quality standards and scalable engineering practices for AI development
Mentor and coach engineers toward staff-level impact
Collaborate with senior leadership to align technology with business objectives

8+ years of professional software engineering experience with progression into staff-level technical leadership
Deep expertise in LLM orchestration, production experience building agent frameworks, agent design patterns, tool integration, and workflow optimization
Significant experience designing MCP integrations and knowledge systems at scale, including tool server architecture, embedding pipelines, and context optimization
Track record of setting technical strategy spanning multiple teams and multi-year horizons
Experience partnering with senior leadership to align technical direction with business objectives
Demonstrated ability to make high-stakes technical decisions under ambiguity
Strong mentorship track record developing senior engineers toward staff-level impact
Curiosity and continuous learning in the rapidly evolving AI/LLM space

8+ years of professional software engineering experience with demonstrated progression into staff-level technical leadership
Deep expertise in LLM orchestration: production experience building agent frameworks, including agent design patterns, tool integration, and workflow optimization
Significant experience designing MCP integrations and knowledge systems at scale, including tool server architecture, embedding pipelines, and context optimization
Track record of setting technical strategy that spans multiple teams and multi-year time horizons
Experience partnering with senior leadership (Directors, VPs) to align technical direction with business objectives
Demonstrated ability to make high-stakes technical decisions under extreme ambiguity
Strong mentorship track record, particularly in developing senior engineers toward staff-level impact
Demonstrated curiosity and continuous learning in the rapidly evolving AI/LLM space

Strong proficiency in Python and experience with Django or similar backend frameworks
Full-stack capabilities with React and TypeScript
Experience building and scaling internal AI/ML platforms or developer experience infrastructure
Familiarity with LLM orchestration frameworks (LangChain, LangGraph, or equivalent)
Deep expertise in advanced agent architectures: multi-agent coordination, autonomous planning, or complex tool ecosystems
Experience with AI evaluation, observability, and production monitoring at enterprise scale
Published technical writing, conference talks, or significant open-source contributions in AI/ML
Background building AI-powered products that shipped to enterprise customers with measurable business impact
Experience at a B2B SaaS company during periods of significant growth or platform expansion
Familiarity with sales performance management, incentive compensation, or adjacent enterprise domains

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Reference to Agentic SDK team, an internal developer platform enabling product teams to build AI-powered features
Greenfield opportunity to define how AI gets built at CaptivateIQ

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