Principal AI Architect jobs in United States
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MCG Health · 1 day ago

Principal AI Architect

MCG Health is a leading healthcare organization dedicated to patient-focused care, and they are seeking a Principal AI Architect to enhance the US healthcare system. The role involves leading the discovery, design, and delivery of AI solutions to improve efficiency and productivity across business operations while influencing executive stakeholders and shaping the AI strategy.

Health CareMedicalWellness
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Growth Opportunities
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H1B Sponsor Likelynote

Responsibilities

Act as principal advisor on GenAI strategy to identify, evaluate, and prioritize high-impact operational AI use cases aligned with business goals
Act as a consultant to identify and prioritize high-ROI operational use cases by mapping manual effort and bottlenecks to build a phased, data-driven operational AI roadmap
Translate business challenges into AI-driven solutions that enhance capacity, productivity, decision-making, and customer experience
Architect and design end-to-end AI and generative AI solutions, spanning data pipelines, LLM integration, orchestration, and governance; progressing from assistive AI to supervised autonomous domain agents grounded on trusted data and orchestrating cross-system actions
Integrate AI solutions across large, complex ecosystems (ERP, CRM, data warehouses, and other systems)
Architect reference patterns for RAG/MCP, agentic workflows, and copilots integrated with systems like Salesforce (CRM), Gainsight (Customer success operations), and Marketo (Marketing automation)
Exercise broad autonomy in determining objectives and approaches; build formal networks with key decision makers; serve as an internal spokesperson and thought leader
Lead end-to-end execution—from problem framing and data contracts through deployment, observability, and continuous improvement—while influencing business and executive stakeholders and setting cross-org standards
Partner with Sales Operations, Contracts, Finance, Licensing, Education & Support, Marketing, Account Management, and Business Systems to turn manual, error prone work into automated, reliable workflows driven by AI
Build and measure outcomes by defining key metrics (cycle time, throughput) and implement cost/benefit tracking
Align initiatives to business goals, communicate trade-offs clearly to executive leadership, and set expectations to ensure adoption of new solutions
Support business teams in adoption and change management, foster adoption and comfort with AI technologies, and enable a culture with AI-first thinking
Serve a subject-matter expert on emerging AI technologies, trends, and best practices
Evaluate, measure, and improve performance on a continuous basis
Stay up to date on industry developments

Qualification

AI/ML solution architectureGenerative AI solutionsEnterprise integrationPython proficiencyData governanceChange managementBusiness operations knowledgeProcess mappingCommunicationProblem-solving mindsetCollaborative mindset

Required

Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, or related field
A minimum of 7 to 10 years of AI/ML solution architecture and delivery
Strong knowledge of business operations with demonstrated ability to move models from proof of concept to production at scale
Proven track record of delivering enterprise AI/automation solutions that produced quantifiable ROI in operational workflows
Strong consultative and technical skills and Principal-level autonomy: hands on experience to lead discovery, architect prototypes, and take solutions to production end-to-end
Experience implementing AI solutions through an entire transformation lifecycle
Deep understanding of agentic AI vs. automation
Experience with agentic systems integration and designing intelligent orchestration across multi-system workflows (Agentcore, Agentbricks, etc.). Knowledge of LLM integration lifecycle using Bedrock, Vertex, etc
Enterprise integration experience across Business Systems (APIs, iPaaS, middleware), data governance, and change management
Knowledge of SLMs and LORA/QLORA type fine tuning methods and knowledge of ML Lifecycle (MLFlow), model training methods, GPA optimization techniques, etc
Knowledge of different types of model inference and training approaches
Proficiency in Python and modern backend stacks; strong knowledge of embeddings and vector stores (e.g., Pinecone, Weaviate, FAISS) and document processing
Strong business/process acumen: process re-engineering, total cost of ownership analysis, and change management
Deep understanding of platform, integration and enterprise architecture and value engineering principles
Proven ability to influence senior stakeholders, set direction under ambiguity, and deliver multi-function impact; excellent communication and mentorship skills
Strong knowledge of software engineering best practices
Experience with process mapping, workflow design, and identifying operational inefficiencies
Experience in change management to drive adoption and integration of AI solutions across the organization
Deep problem-solving mindset with the ability to translate business challenges into AI-powered solutions
Ability to work autonomously
Excellent written and verbal communication skills with the ability to present to technical, non-technical, and executive audiences; able to lead C-suite discussions
Strong problem-solving and troubleshooting ability
Strong analytical ability for solving operational problems
Collaborative mindset
Embody the ideals of the Ideal Team Player

Preferred

Master's or Ph.D. in AI/ML, Data Science, or a related field
Health technology domain experience
Ongoing learning or certifications in cloud AI platforms (AWS, Azure, GCP) and enterprise data technologies (Databricks, Snowflake, or MLFlow)
Experience with Salesforce, Gainsight, Marketo, and other systems across the revenue operations stack

Benefits

Remote work
Travel expected 4-8 times per year for company-sponsored events
Medical, dental, vision, life, and disability insurance
401K retirement plan; flexible spending and health savings account
15 days of paid time off + additional front-loaded personal days
14 company-recognized holidays + paid volunteer days
Up to 8 weeks of paid parental leave + 10 weeks of paid bonding leave
LGBTQ+ Health Services
Pet insurance

Company

MCG Health

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MCG Health, part of the Hearst Health network, provides unbiased clinical guidance that gives healthcare organizations confidence in their patient-centered care decisions.

H1B Sponsorship

MCG Health has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (8)
2024 (12)
2023 (2)
2022 (16)
2021 (5)
2020 (6)

Funding

Current Stage
Growth Stage
Total Funding
unknown
2012-11-01Acquired

Leadership Team

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Jim Stackman
Director of Contracts
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Lynn Nemiccolo
Chief Customer Officer
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Company data provided by crunchbase