Specialist Solutions Architect - GenAI (Healthcare & Life Sciences)

Databricks; Trenton (NJ); Remote; USD 139,000 - 248,000; Full time

Job summary

A leading data and AI company is seeking a Specialist Solutions Architect - GenAI for Healthcare & Life Sciences. This role involves guiding customers in architecting ML applications, collaborating with teams, and mentoring others. Ideal candidates have extensive ML experience and a graduate degree in a quantitative field. The position offers a competitive salary and comprehensive benefits.

Benefits

Comprehensive benefits

Bonuses

Equity

Qualifications

• 5+ years of hands-on industry ML experience.
• Experience with NLP techniques and deploying LLMs.

Responsibilities

• Architect production-level ML workloads and pipelines.
• Provide advanced technical support during sales.
• Collaborate with product and engineering teams.

Skills

Machine Learning

Natural Language Processing

Collaboration

Education

Graduate degree in a 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 serve as a trusted technical ML expert for Databricks customers and the Field Engineering team. Your responsibilities include guiding customers in architecting production-grade ML applications on Databricks, aligning their technical roadmaps with the Databricks Data Intelligence Platform, and staying updated with the latest in GenAI, LLMOps, and ML technologies. You will also mentor others and establish yourself as a ML expert.

The Impact You Will Have

• Architect production-level ML workloads, including end-to-end pipelines, training/inference optimization, cloud-native integrations, and MLOps.
• Provide advanced technical support during sales, covering feature engineering, training, tracking, serving, and model monitoring within a unified platform; participate in the ML SME community at Databricks.
• Collaborate with product and engineering teams to represent customer needs, influence product development, and promote adoption of Databricks’ ML offerings.
• Develop and scale customer data science workloads, applying best MLOps practices to productionize across various domains.
• Serve as a trusted advisor for customers developing GenAI solutions, such as RAG architectures, natural language querying of structured data, content generation, and monitoring.

What We Look For

• 5+ years of hands-on industry ML experience in roles such as:
• ML Engineer: Developing production cloud infrastructure supporting ML deployment, including drift monitoring.
• Data Scientist: Experience with NLP techniques, vector databases, fine-tuning LLMs, and deploying LLMs using tools like HuggingFace, Langchain, and OpenAI.
• Graduate degree in a quantitative field (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience.
• Ability to communicate technical concepts effectively to both technical and non-technical audiences.
• Passion for collaboration, continuous learning, and embodying ML values.
• [Preferred] 2+ years of customer-facing experience in pre-sales or post-sales roles.
• [Preferred] Experience with Apache Spark for processing large-scale datasets.
• 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 a competitive pay range for this role, with actual compensation based on skills, experience, certifications, location, and other factors. The base salary ranges from $139,800 to $247,300 USD across zones 1-4. Total compensation may include bonuses, equity, and benefits. For specific regional ranges, visit our benefits page.

About Databricks

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

Benefits

We provide comprehensive benefits tailored to regional needs. Details are available at our benefits page.

Diversity & Inclusion

We are committed to fostering a diverse and inclusive culture, with hiring practices that respect all protected characteristics and promote equal opportunity.

Additional Details

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