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Elevance Health

AI Engineer

Elevance Health

. Lead the design, development, and deployment of large-scale, production-grade AI systems and platforms .

Posted 10/14/2026full-timeUnited StatesSeniorLead💰 $254,584 - $416,592 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and deploying large-scale AI systems, with a focus on distributed systems, event-driven architectures, and AI-driven modernization of legacy systems. Proven ability to lead technical direction, establish governance frameworks, and mentor engineering teams in AI-assisted development.

Highest-signal resume keywords
Large-Scale AI System DevelopmentDistributed Systems ArchitectureAI/ML Production-Grade SolutionsPython Programming ExpertiseCI/CD and DevOps Practices

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Software EngineeringAI-Enabled Software Development LifecycleAPIsMicroservicesEvent-Driven ArchitecturesCloud PlatformsAutomated Code TransformationService DecompositionContinuous OptimizationTechnical Standards and Governance
Soft Skills
Technical LeadershipMentorshipCollaborationInfluencing Technology Decisions
Certifications & Qualifications
Bachelor’s Degree in Computer ScienceBachelor’s Degree in Information Technology
Industry Keywords
AI SystemsAgentic SystemsLegacy Systems ModernizationIntegration StandardsScalable Solutions

Tech Stack

Tools & technologies
CloudDistributed SystemsJavaMicroservicesPython

About the role

Key responsibilities & impact
  • Lead the design, development, and deployment of large-scale, production-grade AI systems and platforms
  • Architect and deliver scalable, resilient AI solutions using agentic systems, LLMs, distributed systems, and event-driven architectures
  • Define enterprise-wide technical direction, architecture patterns, integration standards, and reusable platform capabilities
  • Lead AI-driven modernization of legacy systems through automated code transformation, service decomposition, and continuous optimization
  • Design and implement AI-enabled software development lifecycle practices
  • Establish technical standards, governance frameworks, and best practices for AI systems, including monitoring, evaluation, and responsible AI
  • Partner with engineering teams and stakeholders to drive adoption of AI-assisted development
  • Drive continuous improvement in system performance and productivity
  • Provide technical leadership and mentorship
  • Influence enterprise technology decisions through deep expertise and hands-on engineering

Requirements

What you’ll need
  • Bachelor’s degree in Computer Science, Information Technology, or related field, or equivalent combination of education and experience
  • Minimum of 15 years of experience in software engineering
  • Deep expertise in distributed systems and large-scale architecture
  • Experience delivering production-grade AI/ML systems at scale
  • Experience building agentic systems or complex LLM-based applications
  • Experience modernizing large, complex legacy systems
  • Experience delivering high-quality systems
  • Strong programming expertise in Python, Java, or similar
  • Deep experience with APIs, microservices, and event-driven architectures
  • Experience with cloud platforms
  • Experience with CI/CD and DevOps practices
  • Must work within a reasonable commuting distance from a posting location unless an accommodation is granted
  • Associates are required to work in an Elevance Health location at least once per week, and potentially several times per week

Benefits

Comp & perks
  • Comprehensive benefits package
  • Incentive and recognition programs
  • Equity stock purchase
  • 401k contribution
  • Merit increases
  • Paid holidays
  • Paid Time Off
  • Incentive bonus programs
  • Medical benefits
  • Dental benefits
  • Vision benefits
  • Short and long term disability benefits
  • 401(k) + match
  • Stock purchase plan
  • Life insurance
  • Wellness programs
  • Financial education resources
  • Hybrid work flexibility