Project Manager

Hi, Greetings from Career Soft Solutions!!Job Title: Program Manager – AI & Healthcare InnovationLocation: Minneapolis, MN (Onsite/Hybrid)Required Skills: 15+ years of program management experience leading complex, multi‑team initiatives.10 years of experience in the healthcare industry (provider, payer, health tech, or life sciences).Strong background in Agile, Scrum, or hybrid delivery methodologies.Experience with tools such as Jira, Azure DevOps, or similar platforms.Knowledge of clinical workflows, EHR systems, claims, interoperability standards (HL7, FHIR), or healthcare operations.Experience working in HIPAA‑regulated environments.Strong understanding of LLM architectures, capabilities, limitations, and use cases.Understanding of AI/ML lifecycle, data pipelines, and cloud‑based AI platforms (Azure, AWS, or GCP).Key ResponsibilitiesLead end‑to‑end delivery of AI and digital transformation programs across clinical, operational, and administrative domains.Define program scope, milestones, KPIs, and measurable outcomes aligned with healthcare business needs.Partner with technical teams to design, evaluate, and deploy LLM‑based solutions (e.g., clinical documentation support, patient engagement tools, workflow automation).Translate healthcare business requirements into AI/ML technical specifications and implementation roadmaps.Support LLM deployment planning, including model selection, fine‑tuning, integration, and monitoring.Work with data teams to ensure high‑quality, compliant datasets for training and inference.Implement strategies to identify, measure, and mitigate hallucinations in LLM outputs, ensuring accuracy and patient safety.Promote responsible AI practices, including transparency, bias mitigation, and adherence to regulatory standards.Lead programs involving clinical workflows, payer systems, EHR integrations, claims processing, or population health analytics.Ensure compliance with HIPAA, PHI/PII protection, and healthcare regulatory frameworks.Collaborate with clinicians, payers, and operational leaders to ensure AI solutions align with real‑world healthcare needs.Strong understanding of LLM architectures, capabilities, limitations, and use cases.Experience with LLM deployment, including model evaluation, fine‑tuning, and integration into enterprise systems.Familiarity with hallucination detection and mitigation strategies.Understanding of AI/ML lifecycle, data pipelines, and cloud‑based AI platforms (Azure, AWS, or GCP).