Job Details

Join Our Analytics Hub

Our growing Analytics Hub works with our consulting teams to deliver new insights, streamlined analysis, and world-class intelligence to the healthcare organizations we serve as clients. Combined with our consulting teams, you will be helping physician and executive leadership make informed decisions that can alter the course of their enterprises in areas such as physician alignment, mergers and acquisitions, service line planning, provider compensation, financial performance, transforming care models, patient access, managed care portfolio optimization, digital health expansion, and more. ECG uses a Microsoft Azure and Microsoft 365 environment, with Microsoft Power BI as ECG's current analytics visualization platform.

Our detailed plans incorporate qualitative findings with data-driven strategic, operational, and financial considerations that enable organizations to pursue realistic change. Our consultants bridge the gap between strategic thinking and operational implementation with sensible action plans and tactical recommendations. This approach allows us to stretch our clients' thinking while ensuring that initiatives with the broadest and deepest impact are prioritized and implementable. Our wide-ranging engagements often focus on helping our clients:

• Position themselves for value-based care delivery.
• Align hospitals and physician organizations.
• Strengthen financial performance.
• Enhance clinical programs.
• Develop strategic partnerships and/or mergers.

Your Opportunity with ECG: Senior AI Healthcare Engineer

As a senior healthcare AI engineer, you will help drive the firm's AI strategy by designing, developing, and deploying intelligent solutions that enhance client delivery, accelerate internal operations, and create new service offerings. Working closely with consultants, healthcare subject matter experts, data engineers, and business leaders, you will transform complex healthcare and business challenges into scalable AI-powered applications.

In addition, you will partner with internal teams including IT, learning and development, business development, and analytics engineering to establish AI best practices, evaluate emerging technologies, and build secure, governed, and scalable AI capabilities across the organization. Here, no two days or projects are alike, which means you'll have a lot to learn and plenty of support to help you succeed.

We are seeking an innovative and technically skilled senior healthcare AI engineer to design, develop, and deploy AI solutions that improve healthcare operations, clinical decision-making, and business performance. This individual will work at the intersection of healthcare, data science, software engineering, and generative AI, developing scalable solutions that utilize healthcare data to create actionable insights and automate complex workflows.

Your Responsibilities May Include

AI and Machine Learning (ML) Development

• 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.

AI Solution Architecture

• 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.

Governance, Security, and Compliance

• 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.

Collaboration and Innovation

• 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.

Qualifications

• 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
  • A master's degree is a plus
• 5+ years of professional experience working in data engineering or data science
  • Healthcare or consulting experience is preferred
• 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

• 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

Job Locations

• 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

Schedule

Full time/exempt

What You Can Expect of Us

To reward our driven, innovative, and passionate employees, we've built a company culture that's centered on performance. We offer an attractive compensation package, challenging work, and an entrepreneurial environment where you can take ownership of your career-and get out as much as you put in.
The estimated base salary range for this job is $170000.00 - $190000.00 annually. It represents a good faith estimate of the range that ECG reasonably expects to pay at the time of the job posting. The actual salary paid will vary based on multiple factors, including but not limited to years of experience, special skills, and market changes. This job is eligible to participate in ECG's annual incentive compensation program, which reflects ECG's pay-for-performance philosophy. The job is also eligible to participate in ECG's benefit plans, which include medical, dental, and vision coverage, a 401(k) matching program, unlimited PTO, and other wellness programs.

Apply now and make an impact for years to come.

To begin the recruitment process, please submit your resume via our career site at https://careers.ecgmc.com.