United States
Actively hiring, first seen by us 1 day agoZone 1 Pay Range $180,000—$247,500 USD Zone 2 Pay Range
Zone 2 Pay Range $180,000—$247,500 USD Zone 3 Pay Range
Zone 3 Pay Range $180,000—$247,500 USD Zone 4 Pay RangeRead the full posting
Architect generative AI applications and agents with RAG and foundation models
Build agents for medical coding, utilization review and member service
Apply generative AI to clinical notes and documents for summarization and extraction
Set up evaluation, tracing and monitoring for AI quality, cost and latency
Build data foundations and migrate legacy platforms such as Teradata and Oracle
architecting generative AI applications and agents with retrieval-augmented generation (RAG), fine-tuned or open foundation models
Build agents for Payer and Provider workflows such as medical coding, utilization review and member and patient service
Apply generative AI to clinical notes, charts, call transcripts and documents for summarization, extraction and chart review
Set up evaluation, tracing and monitoring for AI quality, cost and latency
Build the data foundations behind AI, including batch and streaming pipelines, data warehouses and migrations from legacy platforms such as Teradata, Oracle, SQL Server, Informatica and SAS
Experience with Payers or Providers, such as claims, care management, risk adjustment, quality measures, clinical operations, EHR data or revenue cycle management
- 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
More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents.
In the employer’s words · Read in context
Actively hiringFirst seen by us 1 day ago, still listed, and not a repost of an earlier posting.
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Day 1
Early. Similar jobs usually come down between day 4 and day 77.
At Databricks, jobs usually come down by about day 63.
From 51 similar postings that came down, and 19 of Databricks’s. Coming down is not always a hire.
29 open jobs
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- Comfort using AI coding assistants and agents in day-to-day development and prototyping - Production programming experience in SQL and Python, Scala or Java - 2 years of hands-on professional experience with big data technologies (such as Spark, Hadoop and Kafka) and architectures
- Set up evaluation, tracing and monitoring for AI quality, cost and latency, including LLM judges, human feedback and guardrails, using MLflow - Build the data foundations behind AI, including batch and streaming pipelines, data warehouses and migrations from legacy platforms such as Teradata, Oracle, SQL Server, Informatica and SAS - Bring machine learning in where it fits, such as risk, fraud and forecasting models that work alongside generative AI and agents
- Experience taking AI applications or agents to production to solve business problems, including tracing, evaluation, monitoring, serving and cost control, with tools like 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
FEQ427R390 As a Specialist Solutions Architect (SSA) on the Healthcare & Life Sciences team, you will help Payers and Providers put generative AI to work at the center of their business. For Payers, that means prior authorization, claims, payment integrity, risk adjustment and the member experience. For Providers, it means clinical documentation, care management, the revenue cycle and the patient experience. Both run on complex, highly regulated data such as EHR records, claims and clinical notes. You will help them turn that data into AI on Databricks that is accurate, governed and ready for production. In this customer-facing role, you will work with and support Solution Architects, helping customers design and implement essential workloads and shape their roadmap for expanding use of the Databricks Data Intelligence Platform. As a go-to expert reporting to the Specialist Field Engineering Manager, you will keep building your skills through mentorship, learning and internal training. You will also deepen a specialty in generative AI, AI agents, Healthcare or another area.
As a Specialist Solutions Architect (SSA) on the Healthcare & Life Sciences team, you will help Payers and Providers put generative AI to work at the center of their business. For Payers, that means prior authorization, claims, payment integrity, risk adjustment and the member experience. For Providers, it means clinical documentation, care management, the revenue cycle and the patient experience. Both run on complex, highly regulated data such as EHR records, claims and clinical notes. You will help them turn that data into AI on Databricks that is accurate, governed and ready for production. In this customer-facing role, you will work with and support Solution Architects, helping customers design and implement essential workloads and shape their roadmap for expanding use of the Databricks Data Intelligence Platform. As a go-to expert reporting to the Specialist Field Engineering Manager, you will keep building your skills through mentorship, learning and internal training. You will also deepen a specialty in generative AI, AI agents, Healthcare or another area. The impact you will have
- Support Solution Architects on the advanced parts of the technical sale, including custom proof-of-concept content, workload sizing estimates and custom architectures - Grow adoption of Databricks with customers and the broader community through tutorials, training, hackathons, blogs and Healthcare conference presentations What we look for
Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here. Zone 1 Pay Range
$180,000—$247,500 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.
About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram. Benefits
Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion
Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance
- Production programming experience in SQL and Python, Scala or Java - 2 years of hands-on professional experience with big data technologies (such as Spark, Hadoop and Kafka) and architectures - 2 years of customer-facing experience in a pre-sales or post-sales role
- Ground AI in governed data through 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 the data foundations behind AI, including batch and streaming pipelines, data warehouses and migrations from legacy platforms such as Teradata, Oracle, SQL Server, Informatica and SAS
- 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, with tools like 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
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We file this job under AI Engineer, by the work the posting describes.
AI engineers build products on top of AI models that already exist, most often large language models: they connect a model to a company's data and tools and ship the assistants, agents and search features people use.
Postings ask for strong Python or TypeScript, experience with model APIs, retrieval and agent frameworks, and ways to test whether the model's answers are good enough.
An ML engineer trains and serves models; an AI engineer usually starts from a model someone else trained and builds the product around it, though titles often mix the two.
FEQ427R390
As a Specialist Solutions Architect (SSA) on the Healthcare & Life Sciences team, you will help Payers and Providers put generative AI to work at the center of their business. For Payers, that means prior authorization, claims, payment integrity, risk adjustment and the member experience. For Providers, it means clinical documentation, care management, the revenue cycle and the patient experience. Both run on complex, highly regulated data such as EHR records, claims and clinical notes. You will help them turn that data into AI on Databricks that is accurate, governed and ready for production.
In this customer-facing role, you will work with and support Solution Architects, helping customers design and implement essential workloads and shape their roadmap for expanding use of the Databricks Data Intelligence Platform. As a go-to expert reporting to the Specialist Field Engineering Manager, you will keep building your skills through mentorship, learning and internal training. You will also deepen a specialty in generative AI, AI agents, Healthcare or another area.
The impact you will have
What we look for
Preferred qualifications:
Pay Range Transparency
Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.
About Databricks
Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
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Zone 1 Pay Range $180,000—$247,500 USD Zone 2 Pay Range
Zone 2 Pay Range $180,000—$247,500 USD Zone 3 Pay Range
More relevant text appears in the full description.
United States
Working pattern and location restrictions need checking in the full posting.
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