Senior Healthcare AI Engineer, Analytics Hub

ECG Management Consultants is a national healthcare consulting firm providing strategic, financial, operational, and technology-enabled consulting services. The Senior Healthcare AI Engineer will design, develop, deploy, and govern AI, machine learning, generative AI, and agentic solutions that improve healthcare operations, clinical decision-making, client delivery, and internal business performance. The role collaborates with consultants, healthcare experts, data engineers, IT, cybersecurity, and business leaders to build secure, scalable, and compliant AI capabilities.

Responsibilities:

• Design and develop production-grade generative AI, ML, and agentic AI solutions for healthcare and business applications
• Collaborate with IT and Hub members to deploy solutions
• Build retrieval-augmented generation systems, intelligent assistants, AI agents, and workflow automation solutions using enterprise and healthcare data
• Develop evaluation frameworks that measure solution quality, accuracy, groundedness, reliability, and business impact
• Contribute to the creation and improvement of automated testing methodologies, benchmark datasets, and regression testing processes to ensure AI solutions remain stable as prompts, models, and data sources evolve
• Partner with business stakeholders (consultants, clients, business development, HR, etc.) to define success metrics and acceptance criteria for AI-powered applications
• Evaluate emerging AI technologies and recommend architectures that balance performance, cost, scalability, and risk
• Deploy and operationalize AI solutions within secure enterprise and client environments
• Design scalable architectures that support customer-facing AI applications, agentic workflows, and intelligent automation solutions
• Build and maintain CI/CD processes, monitoring capabilities, and deployment pipelines for AI applications
• Implement observability, telemetry, and performance monitoring to track quality, adoption, and operational health
• Collaborate with IT, cybersecurity, and governance teams to ensure secure deployment and compliance with firm requirements
• Ensure AI systems comply with HIPAA, security, privacy, and regulatory requirements (e.g., SOC2, HITRUST), where applicable
• Contribute to AI governance practices around model monitoring, fairness, transparency, explainability, and risk mitigation
• Collaborate with cybersecurity and data governance teams to ensure secure deployment of AI solutions
• Partner with division leaders, healthcare consultants, clinicians, and operational stakeholders to identify AI opportunities
• Translate business requirements into technical AI solutions
• Present findings, recommendations, and system capabilities to both technical and nontechnical audiences
• Stay current with emerging AI technologies, healthcare innovation, and industry best practices

Requirements:

• Strong knowledge of and passion for the healthcare industry
• Bachelor's degree in either computer science, computer engineering, mathematics, statistics, health information management, or a related degree that relies heavily on critical thinking, logic, and math
• 5+ years of professional experience working in data engineering or data science
• 2+ years of recent experience developing production AI, ML, or advanced analytics solutions
• Strong proficiency in:
• Python, SQL, and ML frameworks (TensorFlow, PyTorch, scikit-learn)
• Microsoft Azure AI Services, Azure OpenAI, AWS, or Google Cloud AI; strong preference for Azure AI Services
• Experience developing and deploying LLM-based applications
• Experience with agentic AI frameworks and LLM evaluation frameworks
• Knowledge of MLOps, CI/CD pipelines, containerization (Docker), and cloud architecture
• Strong analytical, problem-solving, and communication skills
• Preferred locations: Chicago or Washington, D.C
• Other locations: Boston
• We will consider remote hires, but prefer an in-office presence through our hybrid model
• A master's degree is a plus
• Healthcare or consulting experience is preferred
• Work with healthcare data standards including HL7, FHIR, DICOM, ICD-10, CPT, and revenue cycle data
• Experience working with healthcare data, healthcare technology, healthcare consulting, health systems, payer organizations, or digital health companies
• Experience deploying agents from Azure AI Foundry and/or Microsoft Copilot Studio
• Experience using the Microsoft Fabric platform