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Distinguished Engineer
Elevance Health. Lead the design, development, and deployment of large-scale, production-grade artificial intelligence systems and platforms .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates extensive expertise in designing and deploying large-scale AI systems, with a strong focus on cloud-native architectures and modern software development practices. Proven ability to lead technical teams, influence enterprise technology decisions, and drive AI-driven modernization of legacy systems.
Highest-signal resume keywords
AI/ML Systems DeliveryCloud Platforms ExpertisePython ProgrammingEvent-Driven ArchitecturesDevOps Practices
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
AI System DesignLarge Language ModelsMicroservices DevelopmentCI/CD ImplementationFull-Stack Software EngineeringAutomated Code TransformationService DecompositionCloud Security Best PracticesGenerative AI DevelopmentInfrastructure as Code
Soft Skills
Exceptional CommunicationStakeholder ManagementCross-Functional Team InfluenceTechnical LeadershipMentorship
Tools & Technologies
AWSAzureGCPAPIsCloud InfrastructureIdentity and Access ManagementNetwork SecurityDevSecOps AutomationMonitoring and Evaluation ToolsAI Development Frameworks
Industry Keywords
Healthcare Technology EcosystemsProduction-Grade SystemsLegacy System ModernizationScalable ArchitecturesContinuous Optimization
Tech Stack
Tools & technologiesAWSAzureCloudDistributed SystemsGoogle Cloud PlatformJavaMicroservicesPython
About the role
Key responsibilities & impact- Lead the design, development, and deployment of large-scale, production-grade artificial intelligence systems and platforms
- Work with senior leadership to solve complex, company-wide technical challenges
- Architect and deliver scalable, resilient AI solutions using agentic systems, large language models, 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 to improve engineering velocity and quality
- Establish technical standards, governance frameworks, and best practices for AI systems, including monitoring, evaluation, and responsible AI
- Partner with engineering teams and stakeholders to enable 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, and a minimum of 15 years of experience in software engineering, or any combination of education and experience providing an equivalent background
- 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
- Strong expertise in healthcare technology ecosystems
- Expertise in AWS, Azure, or GCP
- Expertise in AI at Scale
- Full-stack software engineering expertise
- Experience designing secure, scalable, cloud-native architectures
- Hands-on experience developing and deploying AI/ML solutions, including Generative AI, Large Language Models, and modern AI development frameworks and tooling
- Knowledge of cloud infrastructure, identity and access management, encryption, network security, and cloud security best practices
- Experience driving DevSecOps adoption through automation, CI/CD optimization, infrastructure as code, and secure software delivery practices
- Exceptional communication and stakeholder management skills
- Ability to influence cross-functional teams and partner with executive and senior leadership across a matrixed organization
- Not eligible for current or future VISA sponsorship
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-term disability benefits
- Long-term disability benefits
- 401(k) with match
- Stock purchase plan
- Life insurance
- Wellness programs
- Financial education resources
- Hybrid work flexibility