Associate AI Engineer Director

Summary

Join QuartzBio as an Associate AI Engineer Director and play a pivotal role in defining and delivering the architecture, strategy, and execution of advanced GenAI systems. Lead the technical direction of the AI engineering function, ensuring cross-team alignment and driving long-term roadmap planning. Architect complex, scalable GenAI pipelines, guide technical design across squads, and influence executive-level decision-making around AI strategy. Champion best practices in AI-first development, mentor engineering talent, and drive the adoption of emerging AI technologies. This leadership role requires expertise in AI/ML infrastructure, semantic search, vector databases, and RAG architectures. You will also be responsible for defining and refining LLM evaluation frameworks and driving strategic AI initiatives aligned with business goals.

Requirements

• Bachelor’s degree related field and a minimum of 12 years of relevant work experience in cloud/infrastructure technologies, information technology (IT) consulting/support, systems administration, network operations, software development/support, technology solutions
• 10+ years of engineering experience, including 5+ years shipping production ML/AI systems, with a focus on LLMs or GenAI
• 6-8 years of experience working in a customer-facing role and leading projects
• Proven experience driving architecture and strategy for complex AI systems at scale
• Deep expertise in Python, cloud platforms (especially AWS), and modern AI/ML infrastructure
• Advanced proficiency with semantic search, vector databases, and retrieval-augmented generation (RAG) architectures
• Experience working with LLM tooling such as Lang Chain, Llama Index, AWS Bedrock, OpenAI, or similar
• Familiarity with evaluation pipelines, human-in-the-loop feedback systems, and performance optimization
• Strong systems thinking and algorithmic fundamentals (DSA)
• Excellent communication skills, with a track record of aligning stakeholders and driving strategic initiatives
• Comfortable in AI-native environments using tools like GitHub Copilot, Cursor, or related development assistants
• Strong ability to identify and present information or data that will have a strong effect on others
• Strong ability to partner with customers
• Strong ability to review and understand end-to-end work processes
• Skilled at collaborating with customers to understand their requirements and expectations by asking questions and listening
• Excellent problem-solving and analytical skills

Responsibilities

• Architect and lead the development of next-generation RAG systems using vector databases, semantic embeddings, and cloud-native services
• Design and implement scalable, production-ready GenAI pipelines and LLM-based services to power intelligent, conversational exploration of biomarker data
• Collaborate across Product, Engineering, and Design to align AI architecture with roadmap priorities and user needs
• Own key architectural decisions around model orchestration, latency optimization, prompt design, and scalability
• Strategic technical advisor to leadership and help prioritize AI investments with long-term impact
• Provide technical leadership across squads, driving design reviews, AI solution quality standards, and architectural consistency
• Lead internal initiatives to adopt and evaluate emerging AI/LLM frameworks, orchestration platforms, and foundation models
• Define and refine LLM evaluation frameworks, feedback pipelines, and end-user quality metrics
• Champion best practices for AI-first development, observability, versioning, and experimentation
• Serve as a mentor and multiplier, developing talent across the AI engineering organization
• Drive strategic AI initiatives aligned with business goals
• Subject matter expert in AI and machine learning technologies
• Draft and maintain internal documentation for relevant AI systems and processes; communicate within and across teams
• Debug and troubleshoot complex AI system issues and provide timely solutions
• Mentor and develop AI engineers; help scale the AI organization through strategic hiring, training, and leadership
• Communicate effectively with team members and stakeholders
• Collaborate with cross-functional teams to define AI project requirements and timelines
• Continuously improving technical skills and staying up to date with emerging AI technologies and shifting priorities
• Other duties as assigned