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Distinguished Engineer
Elevance Health. Lead the design, development, and deployment of large-scale, production-grade AI systems and platforms .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and deploying large-scale AI systems, with a strong focus on distributed architectures, AI-driven modernization, and technical leadership. Proficient in translating behavioral insights into scalable interventions while fostering collaboration across multidisciplinary teams.
Highest-signal resume keywords
Large-Scale AI System DesignDistributed Systems ArchitecturePython ProgrammingCloud, CI/CD, and DevOps PracticesTechnical Leadership and Mentorship
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
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Hard Skills
Software EngineeringAPI Design and ImplementationMicroservices ArchitectureEvent-Driven ArchitectureAI and Generative AIAgentic SystemsIntelligent AutomationModern Data ArchitecturesAutomated Code TransformationService Decomposition
Soft Skills
Exceptional CommunicationInfluencing Enterprise DecisionsBuilding PartnershipsDriving Continuous ImprovementMentorship
Certifications & Qualifications
Bachelor’s Degree in Information TechnologyBachelor’s Degree in Computer ScienceBachelor’s Degree in Engineering
Industry Keywords
Behavioral SciencePublic HealthPopulation HealthHealth PsychologyEpidemiologyHealth EquityEvidence-Based InterventionsBehavior ChangePopulation SegmentationMember Engagement
Tech Stack
Tools & technologiesCloudDistributed 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
- Translate behavioral and population-health evidence into scalable interventions and measurable outcomes
- Build partnerships across multidisciplinary product, engineering, data, operations, clinical, behavioral health, population health, care management, and analytics teams
Requirements
What you’ll need- Bachelor’s degree in information technology, Computer Science, Engineering, or a related field
- 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, microservices, and event-driven architectures
- Experience applying cloud, CI/CD, and DevOps practices
- Must not require current or future visa sponsorship
- Advanced training in behavioral science, public health, population health, health psychology, epidemiology, or related disciplines preferred
- Experience in behavioral science, public health, population health, health psychology, epidemiology, or related disciplines preferred
- Knowledge of behavior change, social determinants of health, population segmentation, health equity, and evidence-based interventions preferred
- Experience translating behavioral insights into scalable digital, AI, and human interventions preferred
- Proven track record of delivering production-grade solutions and influencing enterprise technology strategy preferred
- Exceptional software engineering expertise and technical leadership preferred
- Deep understanding of AI, generative AI, agentic systems, LLMs, intelligent automation, and modern data architectures preferred
- Experience with decision-making, member engagement, health outcomes, and trusted and safe AI-enabled experiences preferred
- Ability to connect business processes, products, data, systems, and technology across organizational boundaries preferred
- Experience establishing technology vision, roadmaps, reusable platforms, architectural standards, and investment priorities preferred
- Proven ability to drive complex initiatives from problem definition through production preferred
- Exceptional ability to communicate technical, behavioral, and public health concepts and influence enterprise decisions preferred
- Proven ability to build partnerships across product, engineering, data, operations, clinical, behavioral health, population health, care management, and analytics preferred
Benefits
Comp & perks- Merit increases
- Paid holidays
- Paid Time Off
- Incentive bonus programs
- Medical benefits
- Dental benefits
- Vision benefits
- Short-term disability benefits
- Long-term disability benefits
- 401(k) + match
- Stock purchase plan
- Life insurance
- Wellness programs
- Financial education resources
- Hybrid work arrangement with virtual-work flexibility
- Professional and personal growth opportunities