Responsibilities

• Partner with delivery and executive stakeholders to scope, design, and lead implementation of AI-driven solutions
• Identify transformational opportunities in messy, ambiguous workflows and turn them into repeatable systems
• Lead architecture design and trade-off discussions across performance, scalability, cost, and reliability
• Own projects from first discovery call through full deployment including client-facing delivery, internal coordination, and post-launch iteration
• Build shared infrastructure, reusable components, and internal playbooks to level-up the team
• Coach and mentor mid-level engineers and help shape the culture of forward-deployed AI engineering

Requirements

• 12+ years of software engineering experience, including significant time spent building data, ML, or backend systems
• Deep proficiency in Python with hands-on experience using Hugging Face, LangChain, OpenAI, Pinecone, and related ecosystems
• Skilled in full-stack and API-based deployment, including Docker, FastAPI, Kubernetes, and cloud environments (GCP, AWS)
• Experienced with workflow orchestration libraries, pub/sub systems (Kafka), and schema governance
• Expertise in data governance and operations including Unity Catalog, policy management, cluster/job orchestration, data contracts, quality enforcement, Delta/ETL pipelines, and replay processes
• Strong product and system design instincts; able to translate business needs into technical architecture
• Experience building usable systems from messy data and ambiguous requirements
• Excellent communication and client-facing skills; able to lead conversations with technical and non-technical stakeholders
• Proven experience owning projects from scoping through deployment in ambiguous, high-stakes environments
• Willingness to be on-call for customers when needed
• Ability to travel 25–50% across North America and occasionally internationally to work onsite with clients
• Bachelor’s degree in Data Science, Computer Science, or related fields OR equivalent professional experience