Senior AI/ML Engineer - Hybrid in Eden Prairie, MN
Role details
Job location
Tech stack
Job description
- Design, develop, and deploy production-grade AI-powered solutions and machine learning models to address complex business challenges in claims processing, eligibility, and payment integrity, emphasizing the responsible use of AI
- Use enterprise-approved AI tools to streamline operational workflows, automate repetitive tasks, and drive continuous improvement across payer and financial systems
- Evaluate emerging trends, such as Agentic AI, GenAI, and automation frameworks, to inform solution design and strategic innovation
- Build and optimize scalable data pipelines for real-time and batch processing, integrating AI models with core platforms and systems (e.g., Facets, claims engines)
- Create AI-driven automation solutions to automate repetitive workflows and support touchless claims and eligibility processing
- Partner with cross-functional teams to define scope, success criteria, and delivery milestones, then execute with solid engineering rigor through CI/CD, environment readiness, and quality gates to deliver on schedule without compromising reliability or maintainability
- Monitor, validate, and retrain AI/ML models in production to track accuracy, mitigate drift, and optimize performance metrics (such as cost reduction, cycle time, and quality)
- Ensure HIPAA-compliant design, PHI-safe pipelines, and align all AI solutions with Responsible AI governance and auditability standards
- Partner closely with operations, product, and compliance teams to translate payer business requirements into measurable AI solutions and communicate outcomes
You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.
Requirements
- Bachelor's degree in Computer Science or related field, or 4+ years of equivalent experience
- 6+ years of experience in software engineering, data engineering, or AI/ML, with a proven track record of deploying production-grade AI/ML solutions
- 3+ years of experience working with healthcare data, claims processing, eligibility, and workflows
- 3+ years of hands-on experience in modern cloud infrastructure (Azure or Google GCP)
- 3+ years of hands-on experience building, training, evaluating, and deploying ML, AI, LLM, or agentic AI solutions in production environments
- 2+ years of experience building cloud-based applications, backend services, APIs, or CI/CD pipelines using Azure or GCP
- Experience implementing model monitoring, validation, and performance tracking in a production environment
- Proficiency in Python and experience with distributed data processing frameworks, * Master's degree in Computer Science, Engineering, Data Science, or a related field
- Professional certification or training in cloud-based AI platforms (e.g., Azure ML, Databricks)
- Experience in healthcare domain and claims automation
- Experience with Agentic AI implementations in enterprise operations
- Familiarity with Facets or similar healthcare payer platforms
- Proven solid ownership, curiosity, adaptability, and learning agility, with the ability to navigate ambiguity and deliver impactful technical solutions
Benefits & conditions
Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $120,100 - $214,500 annually based on full-time employment. We comply with all minimum wage laws as applicable.