What's the salary range?

Databricks lists $180,000–$247,500 for this role.

How much experience is required?

At least 5 years of relevant experience for this Specialist Solutions Architect - AI/ML role.

What's the tech stack?

Joblaze extracted these technologies from the posting: AWS, Artificial Intelligence, Azure, Delta Lake, GCP, Generative AI.

What seniority level is this role?

Databricks targets senior candidates for this position.

Is this full-time or contract?

Full-time for this Specialist Solutions Architect - AI/ML role at Databricks.

Specialist Solutions Architect - AI/ML at Databricks

Joblaze summary

In the role of Specialist Solutions Architect for AI/ML at Databricks, the individual will design and implement advanced machine learning and AI architectures, focusing on production-level deployments and generative AI solutions. Key skills include expertise in cloud infrastructure, MLOps practices, and the ability to communicate complex concepts to diverse audiences. This position is ideal for seasoned professionals with a strong background in ML and AI engineering, particularly those with experience in technical consulting. The role also offers opportunities to influence product development and collaborate across teams in a dynamic environment.

Joblaze insights

Listed about a month ago — first seen on Joblaze August 15, 2026. Last confirmed on Databricks's careers page October 9, 2026.
This exact title is also open at 3 other locations at Databricks: Sao Paulo, Brazil, Bengaluru, India, Mumbai, India.
Salary band is in line with the typical range for AI/ML roles (median ~$190,000).
Starts above 31% of 68 comparable senior ai/ml roles in United States that list Machine Learning we track (median $207,727 across 36 companies). See Machine Learning salary trends
Machine Learning appears in 18.9% of 551 comparable senior ai/ml roles in United States; Hugging Face appears in 0.4% of 551 comparable senior ai/ml roles in United States.

Quick facts

What's the salary range?: Databricks lists $180,000–$247,500 for this role.
How much experience is required?: At least 5 years of relevant experience for this Specialist Solutions Architect - AI/ML role.
What's the tech stack?: Joblaze extracted these technologies from the posting: AWS, Artificial Intelligence, Azure, Delta Lake, GCP, Generative AI.
What seniority level is this role?: Databricks targets senior candidates for this position.
Is this full-time or contract?: Full-time for this Specialist Solutions Architect - AI/ML role at Databricks.

From the original posting

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As an AI/ML Specialist Solutions Architect (SSA), you will lead the advanced AI/ML technical strategy for your customers — owning complex architecture discussions, driving platform adoption, and serving as a trusted advisor to customer technical leads and architects. You combine deep technical expertise with strategic thinking to position Databricks as the foundation of your customers’ data and AI strategy. You are further developing a technical specialization and are recognized within the Field Engineering team for depth in the specific domain.

This position can be remote.

The Impact You Will Have

Own the end-to-end AI/ML technical strategy for your accounts, from discovery through production deployment and consumption growth
Lead complex architecture discussions — designing scalable, production-grade solutions spanning AI/ML, including Retrieval-Augmented Generation (RAG), tool calling, multi-agent orchestration, guardrails, AI evaluation, and observability systems
Serve as a trusted technical advisor to customer architects, engineering leads, and Directors
Drive technical wins in competitive scenarios by demonstrating Databricks’ differentiation through custom-built solutions
Develop and declare an emerging technical specialization (archetype) — becoming a go-to resource for your team in that domain
Orchestrate cross-functional resources (DSAs, SAs, Partners) to deliver comprehensive solutions for complex customer needs
Influence product direction by providing structured feedback on customer requirements and competitive gaps

What We Look For

6+ years in solutions architecture, technical pre-sales, or a senior hands-on technical role in the following areas:
- ML Engineering: Building and maintaining cloud infrastructure (AWS, Azure, or GCP) supporting production ML applications and drift monitoring
- AI Engineering: Working with LLMs and agentic systems, including vector databases, fine-tuning, AI guardrails, and frameworks like LangChain, Hugging Face, or OpenAI APIs
Strong coding proficiency in Python and SQL — you must demonstrate live coding, debugging, and solution-building skills
Deep expertise in distributed data systems architecture: designing scalable pipelines, streaming architectures, lakehouse patterns, and cloud-native data platforms
Proficient on the Databricks Platform (or demonstrated ability to achieve proficiency rapidly) with a developing technical specialization in one area (e.g., real-time/streaming, ML/AI, data governance, migrations)
Proven ability to lead architecture discussions with senior technical stakeholders — whiteboarding, design reviews, and trade-off analysis
Experience with production deployments on public cloud (AWS, Azure, or GCP), including infrastructure, security, and governance considerations
Track record of driving platform adoption and consumption growth within accounts
Excellent communication skills — able to translate complex architectures into business value for both technical and executive audiences
Bachelor's or Master's degree in Computer Science, Engineering, or a quantitative discipline (or equivalent experience)
Willingness to travel up to 30% as needed

Nice to Have

Databricks certifications (Data Engineer, ML, Platform)
Experience with competitive platforms (Snowflake, AWS native services, Azure Synapse) — understanding the landscape you'll position against
Background in a data/AI company or cloud provider
Industry domain expertise (Financial Services, Healthcare, Retail, Media, etc.)

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 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 anticipates 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.

Local Pay Range

$180,000—$247,500 USD

About Databricks

Benefits

Standard company text repeated across Databricks's postings is omitted here.

Specialist Solutions Architect - AI/ML

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