Distinguished Engineer
About The Position
The Distinguished Engineer leads the design, development, and deployment of large-scale, production-grade artificial intelligence systems and platforms that enable enterprise-wide innovation and modernization. The role sets enterprise technical direction and establishes architecture patterns, integration standards, reusable platform capabilities, governance, and best practices for AI systems. It also leads AI-driven modernization of legacy systems and the adoption of AI-enabled software development practices, while providing hands-on technical leadership and mentorship across engineering teams. This hybrid role requires working in an office one to two days per week. The preferred office is the Pulse Point location in Atlanta, Georgia; alternate locations may be considered for candidates within commuting distance of an office. Candidates outside a reasonable commuting distance will not be considered unless an accommodation is granted as required by law. The role is not eligible for current or future visa sponsorship. The stated salary range for candidates working in person or virtually in Maryland is $243,012–$364,518. Elevance Health notes that actual compensation may vary based on location, experience, education, skills, and business considerations. Benefits are subject to eligibility requirements.
Requirements
- Bachelor's degree in Information Technology, Computer Science, Engineering, or a related field, and at least 15 years of software engineering experience; an equivalent combination of education and experience may be accepted.
- Experience leading, designing, implementing, and operating distributed systems and large-scale architectures.
- Experience designing, developing, and maintaining software solutions using Python, Java, or comparable object-oriented programming languages.
- Experience designing and implementing APIs, microservices, and event-driven architectures.
- Experience applying cloud, CI/CD, and DevOps practices.
Nice To Haves
- Advanced experience designing and leading distributed systems and large-scale architectures.
- Experience establishing enterprise technology standards and influencing technical direction across multiple teams or business domains.
- Experience serving as a technical authority for software engineering practices, architecture, platform strategy, and modern application architectures, including APIs, microservices, cloud technologies, and DevOps practices.
- Experience delivering production-grade AI/ML systems at scale and building agentic systems or complex LLM-based applications.
- Experience modernizing large, complex legacy systems and delivering high-quality systems.
- Expertise in healthcare technology ecosystems, cloud platforms (AWS, Azure, or GCP), AI at scale, full-stack software engineering, and secure, scalable cloud-native architectures.
- Knowledge of cloud infrastructure, identity and access management, encryption, network security, and cloud security best practices.
- Proven success driving DevSecOps adoption through automation, CI/CD optimization, infrastructure as code, and secure software delivery practices.
- Exceptional communication and stakeholder management skills, including the ability to influence cross-functional teams and partner with executive and senior leadership in a matrixed organization.
Responsibilities
- Architect and deliver scalable, resilient AI solutions using technologies such as agentic systems, large language models, 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 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 improve system performance and productivity.
- Provide technical leadership and mentorship and influence enterprise technology decisions through deep expertise and hands-on engineering.
Benefits
- Comprehensive benefits package, subject to eligibility requirements.
- Incentive and recognition programs.
- Equity stock purchase plan.
- 401(k) contribution.
- Merit increases.
- Paid holidays.
- Paid Time Off.
- Incentive bonus programs, unless covered by a collective bargaining agreement.
- Medical insurance.
- Dental insurance.
- Vision insurance.
- Short- and long-term disability benefits.
- 401(k) matching.
- Life insurance.
- Wellness programs.
- Financial education resources.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
