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. The role will be based at our Pulse Point location in Atlanta, GA. Alternate locations may be considered if candidates reside within a commuting distance from an office. Note: Candidates not within a reasonable commuting distance will not be considered unless an accommodation is granted as required by law. Senior AI Solutions Engineer (Senior). The engineer will build and scale intelligent systems that improve healthcare outcomes. Responsibilities include designing, building, and deploying machine learning and LLM‑based systems, taking models from experimentation to production within assigned client group, business unit or corporate department, and leveraging 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 coordinates 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 highly preferred. Experience mentoring others, leading multiple small projects and providing troubleshooting support highly preferred. 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, or local laws. Applicants who require accommodation to participate in the job application process may contact View email address on click.appcast.io for assistance. Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws, including, but not limited to, the Los Angeles County Fair Chance Ordinance and the California Fair Chance Act. Prospective employees required to be screened under Florida law should review the education and awareness resources at HB531 | Florida Agency for Health Care Administration. #J-18808-Ljbffr Elevance Health