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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in leading AI initiatives, developing scalable AI solutions, and managing cross-functional teams to drive business value. Proficient in Python development for AI applications and experienced in stakeholder management and change management.
Highest-signal resume keywords
Leadership Of AI TeamsPython Development For AI ApplicationsStakeholder ManagementExperience With SQL And REST APIsKnowledge Of LLMs And Prompt Design
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Python DevelopmentAI Solutions DevelopmentData ProcessingAPIsAutomated TestingCI/CDSQLMonitoringAI Quality EvaluationRisk Management
Soft Skills
LeadershipExecutive CommunicationCoachingChange ManagementStakeholder Management
Tools & Technologies
Microsoft AzureMicrosoft FabricSnowflakeGitHub CopilotAgent Orchestration FrameworksCloud AI Platforms
Industry Keywords
AI RoadmapDecision-Support SolutionsHuman-In-The-Loop ControlsData PrivacyAccess Controls
Tech Stack
Tools & technologiesAzureCloudPythonSnowflakeSQL
About the role
Key responsibilities & impact- Lead the AI roadmap and delivery of secure, scalable AI solutions that improve decision-making, streamline workflows and create measurable business value
- 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
- Move AI ideas from experimentation into reliable production use
Requirements
What you’ll need- Demonstrated leadership of AI, software engineering or data science teams and cross-functional delivery
- Track record of taking AI solutions beyond proof of concept into supported production environments
- Strong stakeholder management, executive communication, coaching and change-management skills
- Strong hands-on Python development skills for AI applications, data processing, APIs and automation
- Experience building tool-enabled agents and orchestrated workflows, including state management, enterprise integrations and human-in-the-loop controls
- Working knowledge of LLMs, prompt design, retrieval-augmented generation (RAG), embeddings and vector search
- Experience with SQL, REST APIs, Git, automated testing, CI/CD and monitoring
- Experience evaluating AI quality, safety, reliability, latency and cost
- Practical understanding of data privacy, access controls, auditability, model limitations and risk-appropriate safeguards
- At this time, GEICO will not sponsor a new applicant for employment authorization for this position
- Experience with cloud AI platforms and agent orchestration frameworks is preferred
- Familiarity with Microsoft Azure, Microsoft Fabric, Snowflake and AI-assisted development tools such as GitHub Copilot/Cursor is beneficial
Benefits
Comp & perks- Personalized development programs
- Mentorship
- Certification assistance
- Inclusive and collaborative culture
- Competitive pay
- Benefits
- Flexibility to support well-being and future
- Reasonable accommodations for qualified individuals with disabilities