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Elevance Health

Distinguished Engineer

Elevance Health

Distinguished 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 fit
Core 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

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Applicant 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 & technologies
AWSAzureCloudDistributed 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