Specialist Solutions Architect - AI/ML (Healthcare & Life Sciences)

Databricks • Boston, MA

3d • $180,000 - $247,500

About The Position

As a Specialist Solutions Architect on Databricks’ Healthcare & Life Sciences team, you will help Payers and Providers put generative AI to work across their businesses. You will help customers turn complex, highly regulated data—including EHR records, claims and clinical notes—into accurate, governed, production-ready AI on the Databricks Data Intelligence Platform.

In this customer-facing role, you will work with and support Solution Architects, helping customers design and implement essential workloads and shape roadmaps for expanding their use of the platform. Reporting to the Specialist Field Engineering Manager, you will build expertise through mentorship, learning and internal training, while deepening a specialty in generative AI, AI agents, Healthcare or another area.

The role spans AI application and agent architecture, healthcare data foundations, production readiness, machine learning, customer technical sales support and community enablement. You will guide strategic customers from prototypes to production and help ensure solutions meet healthcare governance and privacy requirements, including HIPAA and PHI requirements.

Requirements

• At least 5 years of hands-on experience in a technical role, including recent hands-on work building generative AI applications or agents.
• Expertise in generative AI and agents, including LLMs, RAG, agent frameworks, tool calling and MCP, prompt and context engineering, fine-tuning, evaluation and guardrails.
• Experience taking AI applications or agents to production to solve business problems, including tracing, evaluation, monitoring, serving and cost control, using tools such as MLflow.
• A strong foundation in data engineering, data warehousing or machine learning, such as pipelines and streaming, data modeling and SQL performance, warehouse migrations, model development and MLOps.
• Experience maintaining and extending production data systems as needs grow more complex.
• Comfort using AI coding assistants and agents in day-to-day development and prototyping.
• Production programming experience in SQL and Python, Scala or Java.
• At least 2 years of hands-on professional experience with big data technologies such as Spark, Hadoop and Kafka, and related architectures.
• At least 2 years of customer-facing experience in a pre-sales or post-sales role.
• Bachelor’s degree in Computer Science, Information Systems or Engineering, or equivalent work experience.
• Ability to meet technical training and role-specific expectations within 6 months of hire.
• Ability to travel up to 30% when needed.

Nice To Haves

• Education in a healthcare-related field, such as health informatics, biostatistics, epidemiology, public health or health economics, or equivalent experience.
• Experience with Payers or Providers, such as claims, care management, risk adjustment, quality measures, clinical operations, EHR data or revenue cycle management.

Responsibilities

• Guide strategic Payer and Provider customers from AI prototype to production, architecting generative AI applications and agents using RAG, fine-tuned or open foundation models, and supporting data platforms.
• Build agents for Payer and Provider workflows such as medical coding, utilization review, and member and patient service, including multi-agent systems, tool calling and MCP integrations.
• Apply generative AI to clinical notes, charts, call transcripts and documents for summarization, extraction and chart review.
• Ground AI in governed data using context engineering, semantic layers and natural-language analytics with Genie so agents answer from trusted business definitions.
• Set up evaluation, tracing and monitoring for AI quality, cost and latency, including LLM judges, human feedback and guardrails, using MLflow.
• Build data foundations for AI, including batch and streaming pipelines, data warehouses, and migrations from legacy platforms such as Teradata, Oracle, SQL Server, Informatica and SAS.
• Apply machine learning where appropriate, including risk, fraud and forecasting models that work alongside generative AI and agents.
• Help customers work with healthcare data such as EHR, FHIR, HL7 and claims, and meet HIPAA and PHI requirements through governance with Unity Catalog.
• Use AI tools, including coding assistants and agents, to develop customer prototypes and reusable solution accelerators.
• Support Solution Architects with advanced technical-sale work, including custom proof-of-concept content, workload sizing estimates and custom architectures.
• Grow Databricks adoption with customers and the broader community through tutorials, training, hackathons, blogs and Healthcare conference presentations.

Benefits

• The total compensation package may include eligibility for an annual performance bonus and equity.
• Databricks offers employee benefits and perks; specific benefits vary by region.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior