Director, AI Platform Engineer
New
This position can be based remotely anywhere in the U.S.Full-TimeDirector
SalaryUSD 194600 - 361400 / year
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Job Details
- Experience
- 8 plus years of AI engineering experience
- Required Skills
- AgileArtificial IntelligenceProduct ManagementData scienceNLPGenerative AI
Requirements
- Bachelor degree required; advanced degree preferred in business, engineering, computer science, or data science.
- 8+ years of AI engineering experience with a track record of leading product strategy, roadmap development, and delivery for digital/AI products.
- Demonstrated experience in AI and data-driven product environments, translating business needs into scalable solutions.
- Strong cross-functional leadership skills with experience collaborating across Engineering, Innovation, Design, Data Science, and Commercial teams.
- Experience managing and developing product managers or junior product leaders.
- Excellent strategic, analytical, and communication skills.
- Ability to evaluate opportunities, make informed tradeoffs, and communicate product vision to stakeholders.
Responsibilities
- Lead the design, development, integration, deployment, and ongoing support of the organization's AI platform and related engineering capabilities.
- Define and implement platform architecture, engineering standards, and development practices that promote scalability, reliability, security, and maintainability.
- Partner with product, data, infrastructure, security, and business teams to align platform capabilities with enterprise needs and strategic priorities.
- Oversee engineering teams in building reusable platform services, tools, and components that enable agentic AI products and workflows.
- Drive modernization and integration efforts to connect existing systems and processes with AI platform capabilities.
- Monitor platform performance, operational health, and user feedback to identify improvements, resolve issues, and support continuous optimization.
- Establish effective operating models, support processes, and governance practices to ensure consistent delivery and platform reliability.
- Communicate platform priorities, delivery progress, technical risks, and investment needs to senior leaders and cross functional stakeholders.
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