Senior AI Engineer, Enterprise Agentic Solutions

Thank you for your interest in joining Ironwood Digital . Ironwood Digital is a new healthcare company with a long legacy of solving big challenges that improve lives and help healthcare professionals perform at their best. At Ironwood Digital , people are at the heart of every innovation we pursue. Guided by empathy, insight, and clinical intelligence, we collaborate with the best minds in healthcare to address our customers’ toughest challenges. While we continue updating the Ironwood Digital Careers Page and applicant materials, some documents may still reflect legacy branding. Please note that all listed roles are Ironwood Digital positions, and our Privacy Policy: https://www.solventum.com/en-us/home/legal/website-privacy-statement/applicant-privacy/ applies to any personal information you submit. As it was with 3M, at Ironwood Digital all qualified applicants will receive consideration for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Job Description: Senior AI Engineer, Enterprise Agentic Solutions 3M Health Care is now Ironwood Digital At Ironwood Digital , we enable better, smarter, safer healthcare to improve lives. As a new company with a long legacy of creating breakthrough solutions for our customers’ toughest challenges, we pioneer game-changing innovations at the intersection of health, material and data science that change patients' lives for the better while enabling healthcare professionals to perform at their best. Because people, and their wellbeing, are at the heart of every scientific advancement we pursue. We partner closely with the brightest minds in healthcare to ensure that every solution we create melds the latest technology with compassion and empathy. Because at Ironwood Digital , we never stop solving you. The ImpactYou’llMake in this Role As a Senior AI Engineer, Enterprise Agentic Solution , you will serve as the premier technical authority driving the enterprise-wide architecture, engineering, and deployment of Agentic AI and Generative AI platforms. Operating at a highly senior level, your focus extends beyond data science and model training into the rigorous engineering of scalable, high-performance AI systems. You will architect robust, multi-agent frameworks that integrate seamlessly into mission-critical healthcare operations. Furthermore, you will act as a primary technical liaison, partnering directly with executive stakeholders and healthcare customers to translate complex business challenges intohighly reliable, autonomous AI solutions. Key Responsibilities Agent Development & Engineering: Build, test, and deploy autonomous, multi-agent systems using frameworks such asAutoGenandLangGraph. Implement the core logic for agent orchestration, toolutilization, and state management. Advanced RAG & Data Integration: Engineer robust data ingestion pipelines capable of processing complex, multi-modal healthcare data. Implement advanced retrieval techniques, including Graph RAG, and develop solutions for high-accuracy document intelligence (e.g., page-by-page parsing of complex PDFs). Performance Optimization & Evaluation: Design and execute prompt engineering strategies. Establish andmonitorrigorousevaluation ofmetrics for LLM performance to ensure clinical safety, minimize hallucinations, andoptimizeinference latency in production environments. Technical Execution & Collaboration: Partner with data scientists, product managers, and cloud engineers to transition AI models into high-concurrency production environments. Establish code quality standards, write comprehensive technical documentation, and mentor junior developers. Operational Rigor: Build and maintainMLOpspipelines, ensuring secure containerization, CI/CD integration, and comprehensive system telemetry in adherence to healthcare privacy regulations (HIPAA, HITRUST). Your Skills and Expertise To set you up for success in this role from day one, Ironwood Digital requires (at a minimum) the following qualifications: Bachelor's degree in Computer Science, Software Engineering, AI, or related field AND 8+ years of professional experience in software engineering and ML/AI development OR aMaster'sdegree AND 6+ years of experience. Deep, hands-on programmingexpertisein Python and extensive experience building backend systems and APIs. Direct experience developing and deploying Agentic workflows and orchestration frameworks (e.g.,AutoGen,LangChain) in production. Strong practical understanding of Generative AI paradigms, prompt engineering, and LLM evaluation metrics. Experience building ML infrastructure and deploying applications using cloud-native technologies (AWS, Azure, or GCP) Additional qualifications that could help you succeed even further in this role Hands-on experience implementing Graph RAG and complex document parsing workflows. Experience with healthcare data standards (e.g., FHIR) and secure data handling practices. Strong background in system design patterns,