Senior AI Solutions Engineer

Anticipated End Date: 2026-07-09 Position Title: Senior AI Solutions Engineer Location: This role requires associates to be in-office 1‑2 days per week in the Pulse Point location in Atlanta, GA. Alternate locations may be considered if candidates reside within a commuting distance from an office. Candidates not within reasonable commuting distance will not be considered unless an accommodation is granted as required by law.

Responsibilities 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 may propose 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. Qualifications Minimum Requirements: BA/BS degree in Information Technology, Computer Science, or related field.

Minimum of 5 years of related experience, including multi‑dimensional platform experience and expert level in business and technical applications (or equivalent combination of education and experience). Preferred Skills: Masters or PhD preferred. Advanced Python skills for machine learning and data processing.

Experience across the full ML lifecycle (development → deployment → monitoring). Hands‑on experience with LLMs, embeddings, RAG, or modern NLP techniques using vector search technologies like OpenSearch. Experience building production AI systems (APIs, pipelines, microservices).

Experience designing evaluation frameworks for ML/LLM systems. Familiarity with responsible AI principles (fairness, explainability, privacy). Experience with cloud‑based ML platforms and scalable architectures (AWS Bedrock or equivalent AI model cloud providers).

Healthcare domain experience, including familiarity with data privacy and regulatory requirements. EEO Statement Elevance Health is an Equal Employment Opportunity employer, and all qualified applicants will receive consideration for employment without regard to age, citizenship status, color, creed, disability, ethnicity, genetic information, gender (including gender identity and gender expression), marital status, national origin, race, religion, sex, sexual orientation, veteran status or any other status or condition protected by applicable federal, state, and local laws. Applicants who require accommodation to participate in the job application process should submit an Accessibility Accommodation Request Form. #J-18808-Ljbffr