Specialist Solutions Architect - AI/ML
Join Databricks as an AI/ML Specialist Solutions Architect to guide customers in architecting production-grade ML & AI applications.
Skills & Technologies
AI in the day-to-day
You will apply cutting-edge technologies in GenAI, MLOps, and ML to strengthen technical skills and impact.
Requirements
- Experience
- 5+ years
- Education
- Master's degree
Joblaze summary
In the role of AI/ML Specialist Solutions Architect at Databricks, the individual will focus on designing and implementing production-grade machine learning and AI applications for clients, ensuring alignment with the Databricks Data Intelligence Platform. Key skills include expertise in MLOps, cloud infrastructure, and advanced AI techniques, particularly in generative AI and agentic systems. This position is ideal for seasoned professionals with a strong technical background and experience in customer-facing roles, who are passionate about mentoring and driving innovation in AI. Databricks emphasizes collaboration and continuous learning, making it a dynamic environment for technical exper
Joblaze insights
- Listed 20 days ago on Joblaze — tracked directly from Databricks's career page.
- Databricks has 860 other open roles including Staff Designated Support Engineer, Senior Designated Support Engineer, Senior Forward Deployed Engineer.
- 1180 active AWS roles on Joblaze right now.
- 750 active GCP roles on Joblaze right now.
- 705 active Azure roles on Joblaze right now.
- Typical AWS salary we track runs $132,000–$194,000 (median $169,000, across 661 roles). See AWS salary trends
Quick facts
- Is the Specialist Solutions Architect - AI/ML role remote?
- Yes — Databricks lists this as a fully remote position.
- 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: AI, AWS, Azure, GCP, GenAI, HuggingFace.
- 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
P-226
As an AI/ML Specialist Solutions Architect (SSA), 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 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. This role can be remote.
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 a 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:
- 5+ 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
- Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience
- 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] 2+ 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
- Can travel up to 30% when needed
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.