AI Solutions Architect - Healthcare

About the role

Join our AI & Engineering team in transforming technology platforms, driving innovation, and helping make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and re-engineering operations and processes that are critical to businesses.

Responsibilities

• Lead small engagements or key workstreams within large, complex data and analytics transformations for Healthcare clients
• Design and implement cloud and hybrid data architectures, migration approaches, and technology solutions across data and analytics platforms
• Manage day-to-day stakeholder relationships and align technical delivery to business and program objectives
• Oversee quality of team deliverables and recommendations while contributing to hands-on solution delivery across distributed teams
• Support practice growth through proposal development, thought leadership, and coaching junior practitioners

Qualifications

• 10+ years hands-on experience delivering AI solutions for Healthcare organizations
• 2+ years hands-on experience with AI/GenAI solution architecture, especially agentic systems and LLM-enabled applications
• 2+ years experience with RAG, embeddings, vector databases, orchestration frameworks, memory/state patterns, and tool-use architectures
• 2+ years experience building or governing LLMOps practices such as evaluation, monitoring, prompt lifecycle management, and guardrails
• 4+ years experience leading, managing and delivering complex AI Solutions engagements
• Bachelor's or Master's degree in Computer Science, Engineering, Data Science, AI, or related field
• Ability to travel up to 50% on average, based on the work you do and the clients and industries/sectors you serve

Preferred

• Healthcare Payer/Provider AI Solutions experience
• Experience in consulting and client-facing delivery roles
• Experience in creating critical collaterals for client workshops and customer interactive sessions
• Experience presenting technical content to both large and small audiences