AI Implementation Strategist — Enterprise Deployment

Title: AI Implementation Strategist — Enterprise Deployment Location: San Francisco

AI Implementation Strategist — Enterprise Deployment

Level: Senior Individual Contributor; exact title and level flexible based on experience

About the Role

Logical Intelligence is building a new class of AI reasoning systems designed to solve complex problems under real-world constraints.

We’re looking for a highly technical, hands-on AI Implementation Strategist to bridge our research and engineering teams with strategic enterprise customers.

You’ll work directly with customers to understand difficult technical problems, identify where our technology can create value, and take use cases from initial discovery through pilot and production.

This is a hands-on IC role for someone who wants to stay deep in the day-to-day work rather than manage a team.

What You’ll Do

• Technical Discovery & Architecture: Work directly with enterprise customers to understand their technical environments and translate complex problems into AI use cases, architectures, integrations, and measurable success criteria.
• Pilot-to-Production Deployment: Scope and drive technical pilots and integrations, helping customers move from early experimentation to production.
• Research-to-Customer Bridge: Work closely with Logical Intelligence research and engineering teams to solve deployment challenges and bring customer learnings back into the product.
• Technical Customer Leadership: Build credibility with technical and business stakeholders and guide customers through ambiguous, high-value AI initiatives.
• Commercial Expansion: Combine technical depth with commercial judgment to identify valuable use cases and help successful deployments grow into long-term enterprise relationships.

What We’re Looking For

• Strong technical foundation in computer science, engineering, mathematics, statistics, or another quantitative discipline
• Hands-on experience deploying complex software, data, ML, or AI systems with enterprise customers
• Strong understanding of modern AI/software architectures and the ability to engage deeply with technical teams
• Experience translating ambiguous customer problems into concrete technical requirements and deployment plans
• Experience taking pilots or proofs of concept toward production
• Comfortable working directly with both engineers and senior customer stakeholders
• Strong ownership mentality and comfort operating in an early-stage environment where the playbook is still being built

Experience in industrial, chemistry, materials, energy, manufacturing, scientific computing, or other technically complex domains is especially valuable.

Management consulting or forward-deployed experience is a plus, but not required.

We expect many strong candidates to have approximately 8+ years of experience, but technical depth, hands-on execution, and demonstrated impact matter more than a specific number of years.