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Distinguished Engineer
Elevance HealthDistinguished Engineer architecting large-scale AI platforms and modernizing legacy systems for Elevance Health. Defining enterprise architecture, responsible AI standards, and AI-assisted engineering practices.
Posted 8/5/2026full-timeHanover • Maryland • 🇺🇸 United StatesSeniorLead💰 $243,012 - $364,518 per yearWebsite
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in architecting and delivering scalable AI solutions, with a strong focus on distributed systems, large-scale architecture, and AI-driven modernization of legacy systems. Proficient in leading technical direction and implementing best practices for AI-enabled software development and DevSecOps.
Highest-signal resume keywords
AI/ML Systems DeliveryDistributed Systems ExpertisePython ProgrammingCloud Platforms (AWS, Azure, GCP)Generative AI and LLMs
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
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Hard Skills
Software EngineeringLarge-Scale ArchitectureAPIsMicroservicesEvent-Driven ArchitecturesCI/CDDevOps PracticesInfrastructure as CodeAutomated Code TransformationService Decomposition
Soft Skills
Technical LeadershipMentorshipInfluencing Cross-Functional TeamsCollaboration with Executive Leadership
Tools & Technologies
Cloud InfrastructureIAMNetwork SecurityCloud Security Best PracticesModern AI Development Frameworks
Industry Keywords
Healthcare Technology EcosystemsAI at ScaleSecure Cloud-Native Architectures
Tech Stack
Tools & technologiesAWSAzureCloudDistributed SystemsGoogle Cloud PlatformJavaMicroservicesPython
About the role
Key responsibilities & impact- 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 to improve engineering velocity and quality
- Establish technical standards, governance frameworks, monitoring, evaluation, and responsible AI best practices
- Partner with engineering teams and stakeholders to drive adoption of AI-assisted development and improve system performance and productivity
- Provide technical leadership and mentorship while influencing enterprise technology decisions
- Lead the design, development, and deployment of large-scale, production-grade AI systems and platforms enabling enterprise-wide innovation and modernization
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 an equivalent combination of education and experience
- 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, CI/CD, and DevOps practices
- Preferred expertise in healthcare technology ecosystems, AWS, Azure, GCP, AI at Scale, full-stack software engineering, and secure cloud-native architectures
- Hands-on experience with Generative AI, Large Language Models, and modern AI development frameworks and tooling
- Knowledge of cloud infrastructure, IAM, encryption, network security, and cloud security best practices
- Experience driving DevSecOps adoption through automation, CI/CD optimization, infrastructure as code, and secure software delivery
- Ability to influence cross-functional teams and partner with executive and senior leadership
- Candidates must be within a reasonable commuting distance of a posting location unless an accommodation is granted
- Position is not eligible for current or future VISA sponsorship
Benefits
Comp & perks- Comprehensive benefits package
- Incentive and recognition programs
- Equity stock purchase
- 401(k) 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 company match
- Stock purchase plan
- Life insurance
- Wellness programs
- Financial education resources
- Flexible virtual work arrangements