Applied AI Senior Consultant

Accountabilities

• Serve as a trusted AI advisor to healthcare clients and payer organizations, helping leadership teams identify high-value opportunities for AI and automation.
• Lead discovery sessions and solution-design workshops that translate operational challenges into practical, achievable AI use cases and adoption roadmaps.
• Guide AI initiatives from strategy and use-case identification through pilots, solution implementation, production deployment, optimization, and continuous improvement.
• Design and deliver AI-powered solutions for payer workflows, including utilization management, claims processing, care management, member engagement, member services, and administrative operations.
• Develop solutions incorporating large language models, retrieval-augmented generation, workflow automation, copilots, and agentic AI orchestration where appropriate.
• Define solution architectures that integrate AI capabilities responsibly with existing client systems, technologies, and operating environments.
• Establish governance models, human-in-the-loop controls, safeguards, and responsible AI practices for regulated healthcare environments.
• Evaluate AI platforms, technologies, and vendors based on business value, implementation feasibility, security, compliance, scalability, and return on investment.
• Create reusable frameworks, accelerators, and delivery approaches that can be applied consistently across multiple consulting engagements.
• Coordinate cross-functional delivery teams and technology vendors throughout solution design, implementation, and operationalization.
• Support business development and pre-sales activities, including client presentations, prospect discussions, solution development, and RFP responses.
• Help expand AI capabilities and offerings by identifying emerging technologies, partnerships, market opportunities, and areas for differentiation.
• Define success metrics for AI initiatives, monitor outcomes, and communicate progress and business impact to technical, operational, and executive stakeholders.
• Stay current with advances in AI, payer-industry trends, responsible AI practices, and relevant healthcare regulatory developments.

Requirements

• Bachelor’s degree in a relevant discipline or equivalent practical experience, with 8+ years of experience in technology consulting, digital transformation, solution delivery, or a related field.
• Significant recent experience applying AI in production environments, with a proven track record of moving beyond prototypes and proofs of concept into deployed solutions.
• Direct experience working with health plans, payers, managed-care organizations, or related healthcare operations.
• Strong understanding of payer workflows such as utilization management, claims processing, care management, member engagement, member services, or administrative operations.
• Practical expertise with large language models, retrieval-augmented generation, workflow automation, copilots, and agentic AI patterns.
• Experience designing and implementing AI solutions in regulated environments, with a strong understanding of privacy, security, HIPAA compliance, reliability, governance, and responsible AI.
• Proven ability to connect complex business challenges with practical AI opportunities and translate strategy into executable solutions.
• Strong solution architecture and delivery skills, including the ability to integrate AI technologies with enterprise systems and operational environments.
• Experience advising executive stakeholders and communicating complex technical concepts clearly to both technical and non-technical audiences.
• Experience supporting consulting business development, pre-sales activities, client presentations, solution development, or RFP responses.
• Demonstrated ability to coordinate cross-functional teams, technology partners, and external vendors throughout complex initiatives.
• Strong strategic thinking, problem-solving, stakeholder management, and communication skills.
• Comfortable operating independently in a client-facing environment while maintaining a strong focus on delivery quality, business value, and measurable outcomes.

Benefits

• Opportunity to work on high-impact AI initiatives within the healthcare and payer ecosystem.
• Client-facing consulting environment with significant exposure to executive, operational, and technology stakeholders.
• Opportunity to lead initiatives across the full AI lifecycle, from strategy and discovery through production deployment and optimization.
• Fully remote work arrangement within the United States.
• Contractor or FTE engagement structure, depending on the position and arrangement.
• Opportunity to contribute to responsible AI practices involving privacy, security, HIPAA compliance, governance, and human oversight.
• Exposure to emerging technologies including generative AI, retrieval-augmented generation, workflow automation, copilots, and agentic AI.
• Professional growth through complex digital transformation engagements and opportunities to develop reusable AI frameworks and capabilities.
• Collaborative environment spanning strategy, engineering, technology, delivery, compliance, and commercial functions.