Specialist Solutions Architect - AI/ML (Healthcare & Life Sciences)
Databricks2 months ago
Base Salary
$180k - $248k/yr
Responsibilities
- Guide payer and provider customers from AI prototypes to production implementations on Databricks.
- Architect generative AI applications and agents using RAG, foundation models, tool calling, MCP integrations, and context engineering.
- Build multi-agent systems for healthcare workflows such as medical coding, utilization review, and member or patient services.
- Apply generative AI to clinical notes, charts, call transcripts, and documents for summarization, extraction, and chart review.
- Set up AI evaluation, tracing, monitoring, LLM judges, human feedback, guardrails, quality controls, cost controls, and latency monitoring using MLflow.
- Build batch and streaming pipelines, data warehouses, and migrations from legacy platforms including Teradata, Oracle, SQL Server, Informatica, and SAS.
- Support machine learning use cases such as risk, fraud, and forecasting models alongside generative AI systems.
- Help customers work with EHR, FHIR, HL7, claims, HIPAA, and PHI requirements using Unity Catalog governance.
- Support advanced technical sales activities through proof-of-concept content, workload sizing estimates, and custom architectures.
- Promote Databricks adoption through tutorials, training, hackathons, blogs, and healthcare conference presentations.
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, MCP, prompt engineering, context engineering, fine-tuning, evaluation, and guardrails.
- Experience taking AI applications or agents to production, including tracing, evaluation, monitoring, serving, and cost control.
- Strong foundation in data engineering, data warehousing, or machine learning, including pipelines, streaming, data modeling, SQL performance, warehouse migrations, model development, or MLOps.
- Experience maintaining and extending production data systems as they become more complex.
- Production programming experience in SQL and Python, Scala, or Java.
- At least 2 years of hands-on professional experience with big data technologies and architectures such as Spark, Hadoop, and Kafka.
- At least 2 years of customer-facing pre-sales or post-sales experience.
- 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.
- Preferred healthcare-related education or equivalent experience in health informatics, biostatistics, epidemiology, public health, or health economics.
- Preferred experience with payers or providers and domains such as claims, care management, risk adjustment, quality measures, clinical operations, EHR data, or revenue cycle management.
- Ability to travel up to 30% when needed.
Benefits
- Comprehensive regional benefits and perks are offered.
- The role requires travel of up to 30% when needed.
Tech Stack
Apache HadoopApache KafkaApache SparkDatabricksInformaticaJavaMicrosoft SQL ServerMLflowPythonSassScalaSQL
Categories
AI ApplicationsSolutions Engineering
About Databricks
Databricks builds a cloud-based data and AI platform centered on the lakehouse architecture, combining data engineering, analytics, and machine learning with Apache Spark, Delta Lake, and MLflow. It sells subscriptions and cloud services to enterprises that need to unify data pipelines and develop large-scale AI and analytics. Founded in 2013 by the creators of Apache Spark and headquartered in San Francisco, the company is privately held and serves organizations across many industries.