AI/ML Engineer

Primary Responsibilities:
•              Drive responsible use of AI/ML adoption across the team, driving innovative use of both Generative AI and traditional ML techniques
•              Design, develop, test, deploy, maintain, and continuously improve AI-powered software solutions to meet customer and business needs
•              Build responsible AI solutions and service components to support the Provider community, ensuring compliance with ethical and regulatory standards
•              Develop new features leveraging AI/ML, including Generative AI models, predictive analytics, and automation capabilities
•              Provide technical leadership for AI initiatives, including Chatbots and conversational AI solutions
•              Partner with product management, architects, and engineering leadership to deliver creative, scalable AI solutions for healthcare challenges
•              Drive alignment with enterprise AI strategies and ensure solutions meet business objectives and engineering best practices
•              Accountable for high-quality software deliverables and operational excellence
•              Mentor and train team members on AI/ML technologies, frameworks, and responsible AI practices
•              Collaborate with broader engineering teams to integrate AI into cloud modernization efforts and digital-first initiatives
•              Exercise independent judgment to prioritize, plan, and manage AI-related activities and projects

Required Qualifications:
•              BS in Computer Science, Engineering, or related technical field (or equivalent experience)
•              6+ years of software engineering experience
•              4+ years of hands-on experience building AI/ML solutions, including LLMs, Generative AI, and traditional ML models
•              4+ years of experience with Web and API development
•              4+ years of experience hosting applications in cloud environments (AWS preferred)
•              Solid experience with Chatbots, Conversational AI, and NLP-based solutions
•              Solid experience with Agentic AI (MCP or similar agent orchestration frameworks) and Strands Agents
•              Solid experience in Python or Java
•              Solid knowledge of security, access controls, logging, monitoring, performance tuning, disaster recovery, and production operations