Mercy · 1 week ago
LangGraph, Databricks, Agentic AI - Principal-Enterprise AI Architecture
Chesterfield, MO
Full-time
Hybrid
Senior Level, Lead/Staff
7+ years expMercy is a healthcare organization seeking a Principal – Enterprise AI Architecture to lead the design and governance of their enterprise AI architecture. This role is responsible for establishing standards and frameworks for AI systems across various domains, ensuring alignment and integration within the organization.
AssociationChild CareFertilityHealth CareRehabilitation
No H1B
Responsibilities
Owns the development and governance of Mercy’s enterprise AI architecture, ensuring it is scalable, interoperable, ethically aligned, and strategically integrated across clinical, operational, and business domains
Defines and maintains enterprise-wide AI architecture blueprints and standards, including those supporting traditional ML and emerging agentic AI systems, to enable a cohesive and federated AI infrastructure
Defines standards and reference architectures for the development and safe deployment of agentic AI systems across Mercy’s domains
Oversees evaluation, governance, and integration of agentic platforms and orchestration frameworks (e.g., LangGraph, CrewAI)
Leads the identification of capabilities, outcomes, and success criteria for AI solutions, and supports the development of business cases that align with organizational goals
Collaborates with stakeholders, designers, and change managers to establish workflow architecture for AI solutions
Leads the identification and sourcing of data for AI solutions, collaborating with development teams, data architects, engineers, and governance stakeholders
Guides the selection of AI model solutions in partnership with the AI engineering team
Leads the development of training and testing plans and evaluates AI solutions including external vendor models
Collaborates with MLOps/AIOps and change management teams to develop deployment roadmaps and plans
Engages with external AI solution providers to evaluate and recommend innovations that enhance Mercy’s strategic goals
Orchestration and governance of agentic AI systems and autonomous workflows (e.g., LangGraph, CrewAI)
Cloud-native AI platform architecture, including container orchestration and microservices
Federated data and model governance, including privacy-preserving architecture design
Ethical AI and regulatory compliance integration, including AI registries and continuous monitoring
Specialized application of AI in clinical, financial, payer, or operational domains
Qualification
Required
7 years of experience in AI/ML solution design, development, and architecture
3 years of experience leading enterprise architecture or large-scale AI systems
Bachelor's degree in computer science, data science, AI, or related field with demonstrated ongoing education and personal development
Benefits
Medical, dental, and vision coverage
Paid time off
Tuition support
Matched retirement plans for team members working 32+ hours per pay period
Company
Mercy
Mercy is a U.S. health system that provides heart, children’s, and orthopedic care services.
Founded in 1986Saint Louis, Missouri, USA
10001+ employees
Funding
Current Stage
Late StageTotal Funding
$2.2MKey Investors
Patient-Centered Outcomes Research InstituteFCC
2025-04-08Grant
2022-01-14Grant· $2.2M
Leadership Team
Mike Mudd
Chief Operating Officer
David Argueta
Senior Vice President - President of Community Operations
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