Senior Specialist Solutions Architect - AI & ML Engineer
Application analysis
Senior Specialist Solutions Architect - AI & ML Engineer at Databricks is a forward deployed data & ai platform role for engineers who want customer-facing technical work with real deployment ownership.
Reading this role
This Solutions / Sales Engineering role centers on technical discovery, demos, POCs, and helping buyers build internal consensus. Key signals from the listing: AWS, Azure, GCP, Government / DoD context.
About Databricks
Databricks sells a unified data platform to enterprises. Forward deployed engineers help customers migrate workloads and prove value on live data. The role is anchored in Finland; Remote - Denmark; Stockholm, Sweden, so expect on-site customer work in that region.
Signals in the listing
Stand out for Senior Specialist Solutions Architect - AI & ML Engineer
- Lead your application with one paragraph tying Senior Specialist Solutions Architect - AI & ML Engineer to a specific customer or deployment you owned — Databricks hires for shipped outcomes, not tool lists.
- Bring a tight demo narrative: customer pain, live workflow, and measurable before/after — treat the interview like a compressed POC.
- Show how you qualify opportunities and say no to bad-fit pilots; Databricks values technical judgment in customer-facing roles.
- State clearance status clearly up front (active, expired, or eligible) and mention any prior NIPR/SIPR, IL5, or government cloud accreditation work — recruiters filter on this early.
- This role is tied to Finland; Remote - Denmark; Stockholm, Sweden — mention willingness to work on-site with customers and any existing ties to that market (clients, partners, or domain knowledge).
Stand out at Databricks
- Demonstrate Spark/SQL fluency with a concrete example — Databricks will probe for specifics, not buzzwords.
- Demonstrate enterprise stakeholder management with a concrete example — Databricks will probe for specifics, not buzzwords.
- Strong candidates show they can whiteboard a lakehouse migration and then actually implement the first milestone.
- Read recent engineering blog posts, product launches, and customer stories on databricks.com — reference one explicitly in your outreach to show genuine interest.
Tailored from this listing’s title, company, and description. Always verify requirements on the company careers page before applying.
Role description
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Mission
As a Sr Specialist Solutions Architect (SSA) - ML & AI Engineer, you will be the trusted technical ML & AI expert to both Databricks customers and the Field Engineering organization. You will work with Solution Architects to guide enterprise and strategic customers in architecting production-grade ML & AI applications on Databricks, while aligning their technical roadmap with the continually evolving Databricks Data Intelligence Platform. You will continue to strengthen your technical skills through applying cutting edge technologies in GenAI, MLOps, and ML more broadly, expanding your impact through mentorship, and establishing yourself as an AI thought leader.
The impact you will have:
Architect production level ML & AI workloads for customers using our unified platform, including agents, end-to-end ML pipelines, training/inference optimization, integration with cloud-native services, MLOps, etc. Serve as trusted practitioner for enterprise GenAI solutions, including RAG architectures, agentic systems (tool-calling agents, multi-agent orchestration, guardrails), natural language querying of structured data, AI evaluation and observability, and monitoring systems Build, scale, and optimize customer AI workloads and apply best in class MLOps to productionize these workloads across a variety of domains Provide advanced technical support to Solution Architects during the technical sale ranging from feature engineering, training, tracking, serving to model monitoring all within a single platform, as well as participating in the larger ML SME community in Databricks Collaborate cross-functionally with the product and engineering teams to represent the voice of the customer, define priorities and influence the product roadmap, helping with the adoption of Databricks’ AI offerings
What we look for:
7+ years of hands-on industry ML experience in at least one of the following:
ML Engineer: Build and maintain production-grade cloud (AWS/Azure/GCP) infrastructure that supports the deployment of ML applications, including drift monitoring. AI Engineer: Experience with the latest techniques in LLMs & agentic systems including vector databases, fine-tuning LLMs, AI guardrail systems, and deploying LLMs with tools such as HuggingFace, Langchain, and OpenAI Experience with data engineering, or a good understanding of the concept of data engineering Experience communicating and/or teaching technical concepts to non-technical and technical audiences alike Passion for collaboration, life-long learning, and driving business value through ML & AI [Preferred] 5+ years customer-facing experience in a pre-sales or post-sales role Can meet expectations for technical training and role-specific outcomes within 3 months of hire This role can be remote, but we prefer that you be located in the job listing area and can travel up to 30% when needed
About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
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.