Applied AI Senior Consultant
The Applied AI Senior Consultant will lead the design and delivery of AI-powered solutions for healthcare payer organizations, bridging the gap between operational challenges and technical implementation. The role involves advising executives, managing client engagements, and utilizing technologies like LLMs, RAG, and agentic AI to improve workflows such as claims processing and utilization manage
- Compensation
- Not disclosed
- Location
- Not listed
- Work setup
- Not specified
- Seniority
- Senior
- Employment
- Not specified
- Experience
- Not specified
- Category
- Ai engineering
- Posted
Skills
Must have
- 8+ years of experience in technology consulting, digital transformation, or solution delivery
- Significant recent experience with applied AI
- Demonstrated success designing and delivering AI and automation solutions in production environments
- Direct experience with payer, managed-care, or health plan operations
- Understanding of workflows such as utilization management, claims processing, or care management
- Practical knowledge of LLMs, RAG, workflow automation, copilots, and agentic AI patterns
- Experience designing solutions for regulated environments including HIPAA compliance
- Proven ability to advise executive stakeholders
- Experience supporting pre-sales activities, client presentations, or RFP responses
- Bachelor’s degree or equivalent practical experience
Full description
Role overview
Dura Digital is seeking an experienced, client-focused Applied AI Senior Consultant to support one of our healthcare clients on a consulting engagement.
In this role, you will help the client design, deliver, and expand AI-powered solutions for health plans and payer organizations. You will combine strong technical expertise with an understanding of payer operations to identify practical opportunities for AI and automation that produce measurable business value.
You will work closely with client executives, operational leaders, and technology teams to understand complex challenges and translate them into responsible, achievable AI solutions. These solutions may support areas such as utilization management, claims processing, care management, member engagement, and administrative operations.
The ideal candidate brings hands-on experience applying AI and agentic solutions in payer or managed-care environments and can operate as both a trusted advisor and a delivery leader. This is a highly client-facing role requiring the ability to guide initiatives from strategy and use-case identification through solution design, implementation, and optimization.
Key responsibilities
Client engagement and advisory
- Serve as a trusted AI advisor to the client and its health plan and payer customers.
- Lead discovery and solution-design workshops that translate operational challenges into practical AI and automation opportunities.
- Develop AI adoption roadmaps aligned with client priorities, implementation readiness, and expected business value.
- Advise executive and operational stakeholders on responsible AI adoption in regulated healthcare environments.
- Support business development and pre-sales activities, including prospect conversations, presentations, solution development, and RFP responses.
- Guide initiatives from initial concept and pilot development through production deployment and ongoing improvement.
Solution development and delivery
- Lead the design and delivery of AI and automation solutions for payer workflows, including utilization management, claims processing, care management, member services, and administrative operations.
- Design solutions that may incorporate large language models, retrieval-augmented generation, workflow automation, copilots, and agentic orchestration.
- Establish appropriate governance, human-in-the-loop controls, and safeguards for AI-enabled workflows.
- Evaluate AI platforms, technologies, and vendors based on client fit, implementation feasibility, security, compliance, scalability, and expected return on investment.