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Specialist Solutions Architect - GenAI (Healthcare & Life Sciences)

Databricks

Miami (FL)

Remote

USD 139,000 - 248,000

Full time

2 days ago
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Job summary

A leading company seeks a Specialist Solutions Architect in GenAI for Healthcare & Life Sciences. The role involves architecting production-grade ML applications, providing technical support, and collaborating with teams to enhance ML offerings. Ideal candidates have extensive ML experience and strong communication skills. This position offers remote flexibility, targeting East Coast candidates, and includes a competitive salary and comprehensive benefits.

Benefits

Comprehensive benefits

Qualifications

  • 5+ years of hands-on industry ML experience.
  • 2+ years customer-facing experience in pre-sales or post-sales roles.

Responsibilities

  • Architect production-level ML workloads for customers.
  • Provide advanced technical support to Solution Architects.
  • Collaborate with product and engineering teams.

Skills

Machine Learning
Natural Language Processing
Collaboration
Communication

Education

Graduate degree in a relevant quantitative field

Tools

Apache Spark
HuggingFace
Langchain
OpenAI

Job description

Specialist Solutions Architect - GenAI (Healthcare & Life Sciences)

Join to apply for the Specialist Solutions Architect - GenAI (Healthcare & Life Sciences) role at Databricks.

This role can be remote; however, we are specifically targeting candidates based on the East Coast.

As a Specialist Solutions Architect (SSA) - Data Science & ML, you will be the trusted technical ML expert to both Databricks customers and the Field Engineering organization. You will work with Solution Architects to guide customers in architecting production-grade ML applications on Databricks, aligning their technical roadmap with the evolving Databricks Data Intelligence Platform. You will continue to strengthen your technical skills through applying the latest technologies in GenAI, LLMOps, and ML, while expanding your impact through mentorship and establishing yourself as a ML expert.

The Impact You Will Have
  • Architect production-level ML workloads for customers using our unified platform, including end-to-end ML pipelines, training/inference optimization, integration with cloud-native services, and MLOps.
  • Provide advanced technical support to Solution Architects during the technical sale, covering feature engineering, training, tracking, serving, model monitoring, all within a single platform, and participate in the larger ML SME community at Databricks.
  • Collaborate with product and engineering teams to represent customer needs, define priorities, influence the product roadmap, and promote the adoption of Databricks’ ML offerings.
  • Build and scale customer data science workloads and apply best MLOps practices to productionize these workloads across various domains.
  • Serve as a trusted technical advisor for customers developing GenAI solutions, including RAG architectures on enterprise knowledge repositories, querying structured data with natural language, content generation, and monitoring.
What We Look For
  • 5+ years of hands-on industry ML experience in areas such as:
    • ML Engineer: Developing production-grade cloud infrastructure supporting ML deployment, drift monitoring, etc.
    • Data Scientist: Experience with NLP techniques, vector databases, fine-tuning LLMs, and deploying LLMs with tools like HuggingFace, Langchain, and OpenAI.
  • Graduate degree in a relevant quantitative field or equivalent practical experience.
  • Ability to communicate and teach technical concepts to both technical and non-technical audiences.
  • Passion for collaboration, continuous learning, and driving ML values.
  • [Preferred] 2+ years customer-facing experience in pre-sales or post-sales roles.
  • [Preferred] Experience with Apache Spark for large-scale data processing.
  • Ability to meet technical training and role-specific outcomes within 3 months of hire.
  • Willingness to travel up to 30% as needed.
Pay Range Transparency

Databricks offers fair and equitable compensation. The pay range for this role is listed below and varies based on multiple factors including skills, experience, certifications, and location. The total package may include base salary, performance bonus, equity, and benefits.

  • Zone 1: $139,800—$247,300 USD
  • Zone 2: $139,800—$247,300 USD
  • Zone 3: $139,800—$247,300 USD
  • Zone 4: $139,800—$247,300 USD
About Databricks

Databricks is a data and AI company trusted by over 10,000 organizations worldwide, including Fortune 500 companies. Headquartered in San Francisco, it was founded by the creators of Lakehouse, Apache Spark, Delta Lake, and MLflow. Follow us on social media to learn more.

Benefits

We offer comprehensive benefits tailored to regional needs. Visit https://www.mybenefitsnow.com/databricks for details.

Our Commitment to Diversity and Inclusion

We are dedicated to fostering a diverse and inclusive culture, ensuring fair hiring practices regardless of age, gender, ethnicity, disability, or other protected characteristics.

Additional Details
  • Seniority level: Mid-Senior level
  • Employment type: Full-time
  • Job function: Engineering and IT
  • Industry: Software Development
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