Distinguished Engineer

About the role

This role requires associates to be in-office 1-2 days per week, fostering collaboration and connectivity, while providing flexibility to support productivity and work-life balance. This approach combines structured office engagement with the autonomy of virtual work, promoting a dynamic and adaptable workplace. Alternate locations may be considered if candidates reside within a commuting distance from an office. Please note that per our policy on hybrid/virtual work, candidates not within a reasonable commuting distance from the posting location(s) will not be considered for employment, unless an accommodation is granted as required by law.

Responsibilities

• Architect and deliver scalable, resilient AI solutions leveraging technologies such as agentic systems, large language models (LLMs), distributed systems, and event-driven architectures.
• Define enterprise-wide technical direction, including 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 (SDLC) 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 and drive continuous improvement in system performance and productivity.
• Provide technical leadership and mentorship while influencing enterprise technology decisions through deep expertise and hands-on engineering.

Requirements

• 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, which would provide an equivalent background.
• Experience delivering production-grade AI/ML systems at scale, building agentic systems or complex LLM-based applications, modernizing large, complex legacy systems, and delivering high-quality systems.
• Strong programming expertise in Python, Java, or similar.
• Deep experience with APIs, microservices, and event-driven architectures, cloud platforms, and CI/CD and DevOps practices.

Preferred qualifications

• Strong expertise in healthcare technology ecosystems, cloud platforms (AWS, Azure, GCP), AI at Scale, full-stack software engineering, and the design of secure, scalable, cloud-native architectures.
• Hands-on experience developing and deploying AI/ML solutions, including Generative AI (GenAI), Large Language Models (LLMs), and modern AI development frameworks and tooling.
• Deep knowledge of cloud infrastructure, identity and access management (IAM), encryption, network security, and cloud security best practices.
• Proven success driving DevSecOps adoption through automation, CI/CD optimization, infrastructure as code (IaC), and secure software delivery practices.
• Exceptional communication and stakeholder management skills, with the ability to influence cross-functional teams and effectively partner with executive and senior leadership across a matrixed organization.

Pay

For candidates working in person or virtually in Maryland, the salary range for this position is $243,012 to $364,518.

Schedule

This role requires associates to be in-office 1-2 days per week. Unless specified as primarily virtual by the hiring manager, associates are required to work at an Elevance Health location at least once per week, and potentially several times per week. Specific requirements and expectations for time onsite will be discussed as part of the hiring process.

Benefits

• Comprehensive benefits package
• Incentive and recognition programs
• Equity stock purchase
• 401k contribution
• Merit increases
• Paid holidays
• Paid Time Off
• Incentive bonus programs (unless covered by a collective bargaining agreement)
• Medical, dental, and vision insurance
• Short and long term disability benefits
• Life insurance
• Wellness programs
• Financial education resources