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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in architecting and deploying AI solutions, with a strong focus on automation, intelligent workflows, and agent-based systems. Proven ability to mentor teams and deliver measurable business outcomes through advanced AI capabilities and collaboration across diverse stakeholders.
Highest-signal resume keywords
Applied Machine Learning ExperienceGenerative AI SystemsPython ProgrammingAI Frameworks (LangChain, Hugging Face)Distributed Systems 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
Applied Machine LearningGenerative AIPythonAI FrameworksAgent ArchitecturesWorkflow OrchestrationPerformance OptimizationReliability EngineeringDocument IntelligenceKnowledge Graph Integration
Soft Skills
CollaborationMentoringCommunication
Tools & Technologies
LangChainLangGraphLangSmithLlamaIndexHugging FaceOpenAI APIsAnthropic APIsSpring AILangChain4jEmbabel
Industry Keywords
InsuranceFinancial ServicesRegulated IndustriesAI Safety PracticesRegulatory Compliance
Tech Stack
Tools & technologiesDistributed SystemsJavaPythonSpring
About the role
Key responsibilities & impact- Identify and evaluate opportunities for automating business processes using AI, intelligent workflows, and agent-based systems
- Architect, build, and deploy applied AI solutions across enterprise workflows including automation, document intelligence, decision support, and intelligent assistants
- Design and implement AI agents and agentic workflows orchestrating tools, APIs, reasoning steps, and business logic
- Build scalable, resilient, performant, and highly available systems and services
- Use knowledge graphs to enhance reasoning, entity relationships, context retrieval, and multi-step workflows
- Collaborate with product, engineering, operations, and analytics partners to translate business needs into technical designs
- Mentor engineers and scientists through coaching, pairing, reviews, and architectural guidance
- Explore and apply new models, frameworks, and reasoning techniques
- Provide technical guidance on architecture, experimentation, and deployment across multiple teams
- Run experimentation and evaluation involving hypothesis definition, measurement, validation, and iterative improvement in production
- Establish engineering best practices for reliability, interpretability, safety, governance, and monitoring of production AI systems
Requirements
What you’ll need- 8 or more years of professional software engineering or applied machine learning experience
- 2 or more years working with Generative AI or LLM-based systems in production
- Strong hands-on experience with Python and modern AI frameworks such as LangChain, LangGraph, LangSmith, LlamaIndex, Hugging Face, and OpenAI or Anthropic APIs
- Experience designing, building, and operating production AI systems including agentic workflows and intelligent automation features
- Experience building scalable, resilient, secure, and maintainable products and systems
- Strong understanding of agent architectures, workflow orchestration, retrieval-augmented generation, vector databases, and knowledge graph integration
- Ability to collaborate across teams and co-create solutions with engineers, product managers, and domain experts
- Experience mentoring engineers and helping others grow in AI, LLM, and agent-based system design
- History of delivering measurable business outcomes from AI systems
- Strong competency in distributed systems, service design, performance optimization, and reliability engineering
- Experience with advanced Generative AI capabilities including domain-tuned LLMs, vector reasoning techniques, or specialized retrieval architectures
- Experience with insurance, financial services, or other regulated industries
- Experience deploying AI components in Java ecosystems including Spring AI, LangChain4j, or Embabel
- Background in document intelligence, fraud or anomaly modeling, or complex ontology and knowledge graph design
- Familiarity with AI safety practices, evaluation frameworks, monitoring, and regulatory compliance
- Ability to effectively communicate complex technical topics to senior leadership and non-technical stakeholders
- At this time, GEICO will not sponsor a new applicant for employment authorization for this position
Benefits
Comp & perks- Personalized development programs
- Mentorship
- Certification assistance
- Competitive pay
- Benefits
- Flexibility to support well-being and future