AI Implementation Strategist — Enterprise Deployment

Logical Intelligence • San Francisco, CA

2d

About The Position

Logical Intelligence is building AI reasoning systems designed to solve complex problems under real-world constraints. The company is seeking a highly technical, hands-on AI Implementation Strategist to connect its research and engineering teams with strategic enterprise customers. The role involves understanding complex customer problems, identifying opportunities for the company’s technology, and guiding use cases from discovery through pilot and production.

This is a senior individual-contributor role for someone who wants to remain involved in day-to-day technical work rather than manage a team. The exact title and level may vary based on experience.

Requirements

• Strong technical foundation in computer science, engineering, mathematics, statistics, or another quantitative discipline.
• Hands-on experience deploying complex software, data, machine-learning, or AI systems with enterprise customers.
• Strong understanding of modern AI and 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.
• Comfort working directly with engineers and senior customer stakeholders.
• Strong ownership mentality and comfort operating in an early-stage environment where the playbook is still being built.
• Approximately 8 or more years of experience is expected for many strong candidates, though technical depth, hands-on execution, and demonstrated impact matter more than a specific number of years.

Nice To Haves

• Experience in industrial, chemistry, materials, energy, manufacturing, scientific computing, or other technically complex domains.
• Management consulting or forward-deployed experience.

Responsibilities

• Work directly with enterprise customers to understand their technical environments and translate complex problems into AI use cases, architectures, integrations, and measurable success criteria.
• Scope and drive technical pilots and integrations, helping customers move from early experimentation to production.
• Work with research and engineering teams to solve deployment challenges and bring customer learnings back into the product.
• Build credibility with technical and business stakeholders and guide customers through ambiguous, high-value AI initiatives.
• Use technical depth and commercial judgment to identify valuable use cases and help successful deployments grow into long-term enterprise relationships.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed