Distinguished Engineer

Elevance Health

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

Posted 10/5/2026full-timeUnited StatesSeniorLeadWebsite

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 strong 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 to enhance software development practices.

Highest-signal resume keywords

AI/ML Systems DeliveryDistributed Systems ExpertisePython ProgrammingCloud Platforms ExperienceCI/CD and DevOps Practices

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Software EngineeringLarge-Scale ArchitectureAgentic Systems DevelopmentAPIsMicroservicesEvent-Driven ArchitecturesAutomated Code TransformationService DecompositionContinuous OptimizationAI-Enabled Software Development Lifecycle

Soft Skills

Technical LeadershipMentorshipCollaboration

Industry Keywords

Enterprise ArchitectureGovernance FrameworksMonitoring and EvaluationResponsible AI Best PracticesEngineering Velocity

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, 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, monitoring, evaluation, and responsible AI best practices
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, deep expertise in distributed systems and large-scale architecture, 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
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

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/virtual work flexibility
Accommodation support for applicants with disabilities