AI Engineer II

Our AI Engineers support the design, development, testing and deployment of AI-enabled applications, automation workflows and generative AI solutions. This role works closely with senior engineers, data analysts, automation engineers, our Technical Product Owner and business stakeholders to build practical AI solutions using modern software engineering, data and cloud-based AI tools. The ideal candidate has a strong foundation in Python, data concepts, APIs and AI fundamentals with an interest in growing hands-on experience in generative AI, retrieval-augmented generation, cloud-based AI services, Claude, Bedrock and Snowflake. Location: this position is based in hybrid work location (onsite in Meridian Idaho and local WFH). There may be opportunity for fully remote within a mutually acceptable location, in the Mountain West region. Bachelor's Degree in AI/ML, Computer Science, Information Systems, or closely related field of study or equivalent work experience (Two years' relevant work experience is equivalent to one-year college; Associate's Degree in AI/ML, Computer Science, Information Systems, or closely related field of study + 2 years additional relevant experience Required Experience: minimum2-4/+ years relevant engineering experience, to include hands-on AI and/or ML experience, as well as additional engineering experience preferably in the healthcare payer industry. Proficiency in Python and familiarity with common data and machine learning libraries such as Panda, NumPy, scikit-learn or similar tools. Understanding of machine learning concepts, generative AI, large language models, prompt engineering and model evaluation practices. Exposure to retrieval-augmented generation concepts (RAG), including embedding, vector search, document grounding and knowledge retrieval. Strong problem solving skills, attention to detail, curiosity and willingness to learn new AI tools, frameworks and development patterns. Experience with Claude, Bedrock, OpenAI, Snowflake or other related Cloud-native development tools Use of Git version control, agile delivery practices, technical documentation and collaborative development workflows. Experience with APIs, JSON, SQL, relational databases and integrating data or services across applications. Awareness of responsible AI, content safety, prompt injection risks, hallucination mitigation observability and basic security practices for enterprise AI solutions. Experience supporting AI solutions in regulated or enterprise environments such as finance or healthcare. Applicants must be legally authorized to work in the United States at the time of application and throughout employment. The position is eligible for an annual incentive bonus (variable depending on company and employee performance). The pay range for this position takes into account a wide range of factors including, but not limited to, specific competencies, relevant education, qualifications, certifications, relevant experience, skills, seniority, performance, travel requirements, internal equity, business or organizational needs, and alignment with market data. We offer a robust package of benefits including paid time off, paid holidays, community service and self-care days, medical/dental/vision/pharmacy insurance, 401(k) matching and non-contributory plan, life insurance, short and long term disability, education reimbursement, employee assistance plan (EAP), adoption assistance program and paid family leave program. We will adhere to all relevant state and local laws concerning employee leave benefits, in line with our plans and policies. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class.