Job Description
Job DescriptionWe are looking for an experienced Artificial Intelligence (AI) Engineer to establish and lead a secure, scalable internal AI platform in San Francisco, California. This role will shape the technical foundation for enterprise AI adoption by creating development standards, deployment practices, and governance controls that support reliable use across the organization. The position works closely with technology, security, and business teams to help both technical and non-technical users build, launch, and manage AI-powered solutions responsibly.
Responsibilities:
• Design, implement, and support the organization’s internal AI platform, with a primary focus on Azure-based environments, tools, and supporting infrastructure.
• Create and manage automated delivery workflows for AI applications, ensuring code is tested, versioned, and promoted through environments efficiently.
• Establish policies and technical controls that guide secure, compliant, and responsible use of AI across enterprise teams.
• Enable developers and business users to create AI-driven solutions by providing practical frameworks, tooling, and support for modern AI-assisted development environments.
• Lead the release and production rollout of AI solutions, overseeing readiness, deployment standards, and operational stability.
• Work closely with IT, security, and business stakeholders to encourage adoption, clarify proper usage, and align AI capabilities with organizational needs.
• Maintain platform health by managing access controls, monitoring performance, and improving development standards for scalable AI delivery.
• Coordinate with external consultants and partners to help execute AI initiatives and advance the broader platform roadmap.
• Produce clear documentation for workflows, technical standards, and best practices to support continued growth in enterprise AI usage.
• 5–10 years of experience in software engineering, platform engineering, infrastructure engineering, or a closely related technical discipline.
• Strong background in building and administering cloud environments, with Azure experience preferred.
• Hands-on experience with CI/CD implementation, DevOps methodologies, and application lifecycle practices.
• Proven ability to move applications from development through production within enterprise settings.
• Familiarity with current AI tooling and workflows, including large language models, Claude, OpenAI, or AI-assisted development platforms.
• Understanding of AI security, governance, and enterprise risk controls for responsible adoption.
• Experience collaborating across technical and business functions, including supporting users with varying levels of technical expertise.
• Strong communication skills with the ability to turn complex technical concepts into clear, actionable guidance.
The salary range for this position is $220,000 to $260,000.
This position includes Benefits available, including medical, vision, dental, life and disability insurance, and a 401k.