Apply

Ready to go for it?

AI Apply speeds things up—apply directly if you prefer.

FREE ACCESS
5,000–10,000 jobs/day
Scoutfield Logo

See all jobs on Scoutfield

Search thousands of fresh jobs every day.

Discover
  • Fresh listings
  • Fast filters
  • No subscription required
Create a free account and start exploring right away.
Elevance Health

Distinguished Engineer

Elevance Health

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

Posted 9/30/2026full-timeHanover • 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 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 resume
Applicant 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 & technologies
AWSAzureCloudDistributed 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