Staff Architect

Extend
Summary
Join Extend's Architecture team as a Staff Architect and spearhead our AI Native strategy. You will be instrumental in shaping our long-term technical strategy, fostering innovation, and educating our organization on effective AI technologies. Drive AI innovation by leading the exploration and adoption of AI-first solutions, encompassing current LLM-based approaches and broader machine learning and data science methodologies. Design and guide the implementation of AI-native features within our platform, focusing on LLM use, agentic tools & development practices, reusable internal agents, and platform integration. Contribute to the long-term technical roadmap for AI, identifying emerging trends and opportunities. Act as a subject matter expert, upskilling engineers and business teams on AI concepts, tools, and best practices. Provide hands-on guidance and thought leadership on architecting scalable, resilient, and performant AI systems.
Requirements
- Strong Foundation in ML/AI: A proven background in applied ML, data science, and a passion for engineering AI-first solutions
- Architectural Prowess: Experience designing and delivering complex, scalable distributed systems, preferably in a serverless environment
- Hands-On Experience: Practical experience with LLMs, agentic systems, and developing performant AI components
- Strategic Thinker: Ability to translate business needs into technical strategies and anticipate future technological shifts
- Exceptional Communicator: Strong ability to articulate complex technical concepts to diverse audiences, from engineers to executives
- Mentorship & Teaching: A genuine desire to teach, mentor, and elevate the AI capabilities of an entire organization
Responsibilities
- Drive AI Innovation: Lead the exploration and adoption of AI-first solutions, encompassing not only current LLM-based approaches but also broader machine learning and data science methodologies
- Architect AI-Powered Solutions: Design and guide the implementation of AI-native features within our platform, with a focus on: LLM Use: Strategize the effective and ethical integration of Large Language Models. Agentic Tools & Development Practices: Define and promote best practices for building and deploying agentic systems. Reusable Internal Agents: Develop and evangelize the creation of versatile, internal AI agents that streamline operations and development. Platform Integration: Incorporate intelligent agents into our platform to simplify complex configurations and enhance deterministic decision-making processes
- Strategic Vision: Contribute to the long-term technical roadmap for AI within our company, identifying emerging trends and opportunities
- Enablement & Education: Act as a subject matter expert, upskilling engineers and business teams on AI concepts, tools, and best practices through mentorship, training, and documentation
- Technical Leadership: Provide hands-on guidance and thought leadership on architecting scalable, resilient, and performant AI systems
Benefits
- Competitive salary based on experience, with full medical and dental & vision benefits
- Stock in an early-stage startup growing quickly
- Generous, flexible paid time off policy
- 401(k) with Financial Guidance from Morgan Stanley