Role overview:Lead the AI roadmap and delivery of secure, scalable AI solutions that improve decision-making, streamline workflows and create measurable business value. Combine people leadership with hands-on technical depth to move ideas from experimentation into reliable production use.
Key responsibilities: - Own the AI roadmap, prioritizing use cases with business leaders based on value, feasibility and risk.
- Lead and develop AI engineers and analysts; establish clear delivery, quality and engineering standards.
- Guide AI assistants, agentic workflows and decision-support solutions from discovery and pilot through deployment and continuous improvement.
- Partner with data engineering, analytics, technology and risk teams to ensure trusted data, appropriate controls and clear human accountability.
- Drive adoption and measure outcomes across business impact, user experience, productivity, reliability and cost.
Required experience: - Demonstrated leadership of AI, software engineering or data science teams and cross-functional delivery.
- A track record of taking AI solutions beyond proof of concept into supported production environments.
- Strong stakeholder management, executive communication, coaching and change-management skills.
Technical skills: - Python: Strong hands-on development skills for AI applications, data processing, APIs and automation, with the ability to review production-quality code.
- Agentic development: Experience building tool-enabled agents and orchestrated workflows, including state management, enterprise integrations and human-in-the-loop controls.
- Generative AI: Working knowledge of LLMs, prompt design, retrieval-augmented generation (RAG), embeddings and vector search.
- Engineering and operations: SQL, REST APIs, Git, automated testing, CI/CD and monitoring; experience evaluating AI quality, safety, reliability, latency and cost.
- Responsible AI: Practical understanding of data privacy, access controls, auditability, model limitations and risk-appropriate safeguards.
Preferred experience: Experience with cloud AI platforms and agent orchestration frameworks. Familiarity with Microsoft Azure, Microsoft Fabric, Snowflake and AI-assisted development tools such as GitHub Copilot/Cursor is beneficial.
#LI-GC1
Annual Salary$146,575.00 - $229,600.00
The above annual salary range is a general guideline. Multiple factors are taken into consideration to arrive at the final hourly rate/ annual salary to be offered to the selected candidate. Factors include, but are not limited to, the scope and responsibilities of the role, the selected candidate's work experience, education and training, the work location as well as market and business considerations.
At this time, GEICO will not sponsor a new applicant for employment authorization for this position.