Senior AI Solutions Engineer (Engineer Senior)

Elevance Health (Anthem); Atlanta (GA); Hybrid; USD 150,000 - 230,000; Full time

Job summary

Elevance Health is seeking a Senior AI Solutions Engineer to design, build, and deploy ML/LLM-based systems that improve healthcare outcomes. You will translate business problems into scalable AI solutions, collaborating with product, data, and engineering teams in a hybrid Atlanta-based setting.

Ideal candidates have 5+ years in AI/ML and strong Python skills, with experience in LLMs, embeddings, RAG, and cloud platforms. This role emphasizes production readiness and cross-functional leadership.

Qualifications

• BA/BS in IT, CS or related field with 5+ years of relevant experience.
• Experience with multi-platform AI/ML workloads.
• Ability to translate business problems into AI solutions.

Responsibilities

• Translate business problems into scalable AI/ML solutions with product, data, and engineering teams.
• Apply AI/ML capabilities to improve healthcare outcomes and enable practical adoption across workflows.
• Design, build, and deploy end-to-end ML and LLM-based systems (data pipelines, models, APIs, monitoring).
• Mentor junior teammates and lead multiple small to medium projects; influence engineering standards.
• Coordinate on-call support and monitor AI/ML model performance and reliability.

Skills

Python

ML lifecycle

LLMs

RAG pipelines

Vector search

OpenSearch

Cloud platforms

Education

BA/BS in IT or CS

Tools

AWS Bedrock

OpenSearch

APIs

Job description

Anticipated End Date:

2026-09-11

Position Title:

Senior AI Solutions Engineer (Engineer Senior)

Job Description:

Senior AI Solutions Engineer (Engineer Senior)

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, GA. 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.

The Senior AI Solutions Engineer (Engineer Senior) will build and scale intelligent systems that improve healthcare outcomes. You will design, build, and deploy machine learning and LLM-based systems, taking models from experimentation to production within assigned client group, business unit or corporate department and utilizing various customer technology platforms. Also responsible for delivery of end-to-end application, system development and maintenance on complex multi technology platforms within assigned client group, business unit or corporate department and utilizing various customer technology platforms.

How you will make an impact:

• Maintains active relationships with product, data, engineering, architecture, and business teams to translate business problems into scalable AI/ML solutions.
• Applies AI/ML capabilities and modern AI tools to solve meaningful business problems, improve healthcare outcomes, and enable practical adoption across business workflows, digital products, and enterprise applications.
• Owns the change request process and may coordinate with other teams as necessary.
• Provides technical advice and weighs in on technical decisions that impact cross-functional teams, including AI/ML and advanced analytics solutions.
• Researches and proposes new technologies, keeping abreast of developments in AI and applying them to enterprise use cases where relevant.
• Designs, builds, and deploys end-to-end ML and LLM-based systems (data pipelines, models, prompts, APIs, and monitoring).
• Develops, evaluates, deploys, and monitors machine learning models for predictive, classification, optimization, personalization, and decision-support use cases.
• Builds applied AI solutions such as semantic search, RAG pipelines, and embedding-based systems.
• Develops production-ready AI/ML services, APIs, pipelines, and reusable components; improves performance, scalability, reliability, usability, and operational readiness in production.
• Performs technical design reviews and code reviews; provides technical leadership through solution design, best practices, troubleshooting, and mentoring junior team members.
• Assesses status and supports data information planning.
• Coordinates on-call support and ensures effective monitoring of systems, including AI/ML model performance and reliability.
• Mentors others and may lead multiple or small to medium-sized projects; influences engineering standards and technical direction.
• Identifies and proposes strategies around technical problems affecting the team, communicates standards, and gains buy-in on solutions.

Minimum Requirements:

• Requires a BA/BS degree in Information Technology, Computer Science or related field of study and a minimum of 5 years related experience; experience working with multi-dimensional platforms, and business and technical applications also required; or any combination of education and experience, which would provide an equivalent background.

Preferred Skills, Capabilities and Experiences:

• Masters or PhD preferred.
• Advanced Python skills for machine learning and data processing preferred.
• Experience across the full ML lifecycle (development, deployment and monitoring) preferred.
• Hands-on experience with LLMs, embeddings, RAG, or modern NLP techniques using vector search technologies like OpenSearch preferred.
• Experience building production AI systems (APIs, pipelines, microservices) preferred.
• Experience designing evaluation frameworks for ML/LLM systems preferred.
• Familiarity with responsible AI principles (fairness, explainability, privacy) preferred.
• Experience with cloud-based ML platforms and scalable architectures (AWS Bedrock, or equivalent AI model cloud providers) preferred.
• Healthcare domain experience, including familiarity with data privacy and regulatory requirements preferred.
• Multi database and/or multi language preferred.
• Experience mentoring others, leading multiple small projects and providing troubleshooting support preferred.

Job Level:

Non-Management Exempt

Job Family:

IFT > Engineering/Dev

Please be advised