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Distinguished Engineer

Job in Grand Prairie, Dallas County, Texas, 75051, USA
Listing for: Elevance Health
Part Time position
Listed on 2026-11-04
Job specializations:
  • Software Development
    Software Architect, Cloud Engineer - Software, DevOps, AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 243000 - 365000 USD Yearly USD 243000.00 365000.00 YEAR
Job Description & How to Apply Below

Distinguished Engineer

Location
:
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. Ideal candidates will be able to report to our Pulse Point location in Atlanta, Georgia. 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 accommodation is granted as required by law.

PLEASE NOTE: This position is not eligible for current or future VISA sponsorship.

The Distinguished Engineer is responsible for leading the design, development, and deployment of large-scale, production-grade artificial intelligence (AI) systems and platforms that enable enterprise-wide innovation and modernization.

How you will make an impact:

  • 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.

Minimum Requirements:

  • Requires a Bachelor's Degree in Information Technology, Computer Science, Engineering, or a related field and a minimum of 15 years of experience in software engineering, including experience leading, designing, implementing, and operating distributed systems and large-scale architectures, or any combination of education and experience which would provide an equivalent background.
  • Experience designing, developing, and maintaining software solutions using Python, Java, or comparable object-oriented programming languages also required, as well as experience designing and implementing APIs, microservices, and event-driven architectures, and applying cloud, CI/CD, and Dev Ops practices.

Preferred Skills, Capabilities and Experiences:

  • Advanced experience designing and leading distributed systems and large-scale architectures is strongly preferred, as well as experience establishing enterprise technology standards and influencing technical direction across multiple teams or business domains is strongly preferred.
  • Experience serving as a technical authority for software engineering practices, architecture, platform strategy and modern application architectures, including APIs, microservices, cloud technologies and Dev Ops practices, is strongly preferred.
  • 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 is strongly preferred.
  • Strong expertise in healthcare technology ecosystems, cloud platforms (AWS, Azure, GCP), AI at…
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