Senior AI Solutions Engineer

Senior AI Solutions 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. 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. PLEASE NOTE: This position is not eligible for current or future visa sponsorship. The Senior AI Solutions Engineer 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. 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 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. Minimum Requirements Requires an BA/BS degree in Information Technology, Computer Science or related field of study and a minimum of 5 years related experience; multi-dimensional platform experience; expert level experience with business and technical applications, 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; strong SQL proficiency. 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 preferred). Healthcare domain experience, including familiarity with data privacy and regulatory requirements strongly preferred. For candidates working in person or virtually in the below locations, the salary* range for this specific position is $132,088 to $198,132 Location(s): Chicago, IL In addition to your salary, Elevance Health offers benefits such as a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). The salary offered for this specific position is based on a number of legitimate, non‑discriminatory factors set by the Company. The Company is fully committed to ensuring equal pay opportunities for equal work regardless of gender, race, or any other category protected by federal, state, and local pay equity laws. Elevance Health operates in a Hybrid Workforce Strategy. Unless specified as primarily virtual by the hiring manager, associates are required to work at an Elevance Health location at least once per week, and potentially several times per week. Specific requirements and expectations for time onsite will be discussed as part of the hiring process. The health of our associates and communities is a top priority for Elevance Health. We require all new candidates in certain patient/member‑facing roles to become vaccinated against COVID-19 and Influenza. If you are not vaccinated, your offer will be rescinded unless you provide an acceptable explanation. Elevance Health will also follow all relevant federal, state and local laws. 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 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