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AI Engineer
Elevance HealthDistinguished AI Engineer developing enterprise AI solutions using machine learning and AI technologies at Elevance Health. Leading the design and delivery of scalable, robust AI capabilities for the organization.
Posted 7/29/2026full-timeRichmond • California, Massachusetts, Texas, Virginia, Washington • 🇺🇸 United StatesSeniorLead💰 $231,440 - $416,592 per yearWebsite
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and deploying scalable AI solutions, with a strong focus on distributed systems, large language models, and event-driven architectures. Proven ability to lead cross-functional teams and translate business needs into effective AI strategies.
Highest-signal resume keywords
AI Solution DesignDistributed Systems ArchitecturePython ProgrammingAPI DevelopmentMicroservices Implementation
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Machine LearningGenerative AIAgentic AISoftware EngineeringObject-Oriented ProgrammingEvent-Driven ArchitectureCI/CD PracticesDevOps Practices
Soft Skills
Technical LeadershipCollaborationCommunication
Tools & Technologies
Large Language ModelsCloud Technologies
Industry Keywords
Enterprise AI SolutionsAI Development LifecycleReusable AI ServicesReference Architectures
Tech Stack
Tools & technologiesCloudDistributed SystemsJavaMicroservicesPython
About the role
Key responsibilities & impact- Design, develop, and deploy enterprise AI solutions spanning traditional machine learning, generative AI, and agentic AI systems.
- Architect and deliver scalable, resilient AI solutions leveraging technologies such as agentic systems, large language models (LLMs), distributed systems, and event-driven architectures.
- Serve as a senior hands-on contributor, technical leader, and subject matter expert across the AI development lifecycle.
- Build reusable AI services, frameworks, accelerators, and reference architectures leveraged across multiple teams and use cases.
- Partner with business domain SMEs, product, engineering, architecture, security, data, and business teams to translate business opportunities into scalable AI solutions.
Requirements
What you’ll need- Requires a bachelor's degree in Information Technology, Computer Science, Engineering, or a related field
- A minimum of 15 years of experience in software engineering
- Experience leading, designing, implementing, and operating distributed systems and large-scale architectures
- Experience designing, developing, and maintaining software solutions using Python, Java, or comparable object-oriented programming languages
- Experience designing and implementing APIs
- Experience with microservices and event-driven architectures
- Knowledge of cloud, CI/CD, and DevOps practices.
Benefits
Comp & perks- Health insurance
- 401(k) matching
- Paid time off
- Remote work options
- Wellness programs
- Professional development opportunities
- Competitive salary