Specialist Solutions Architect - AI/ML

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. This position can be remote.

• 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.

• 6+ years in solutions architecture, technical pre-sales, or a senior hands-on technical role in ML Engineering or AI Engineering.
• 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.

• Databricks certifications (Data Engineer, ML, Platform).
• Experience with competitive platforms (Snowflake, AWS native services, Azure Synapse).
• Background in a data/AI company or cloud provider.
• Industry domain expertise (Financial Services, Healthcare, Retail, Media, etc.).

Local Pay Range: $180,000—$247,500 USD. The total compensation package may also include eligibility for annual performance bonus, equity, and the benefits listed above. Databricks is committed to fair and equitable compensation practices.

Apply through the provided job link.