Specialist Solutions Architect - AI/ML
Databricks · Central - United States; West Coast - United States · Field Engineering - FE Direct Regulated · listed August 14, 2026
The shape of it
Seniority
Principal
Where
Not stated
Stated pay
$180,000 – $247,500 USD
Requirements listed
11
Length
814 words
In the posting’s own words
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.
What it asks for · 11
- 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)
Also a plus
- 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.)
What the job covers
- 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
Degree language
- Bachelor's or Master's degree in Computer Science, Engineering, or a quantitative discipline (or equivalent experience)
Tools and skills named
Models & research
- Machine learning8×
- Fine-tuning
- LLM
Cloud & infra
- AWS3×
- Azure3×
- GCP2×
- Observability
Data
- Databricks4×
- Data warehouse
- Snowflake
Go to market
- Solutions architecture2×
Languages
- Python
- SQL
Security & compliance
- Security
Ways of working
- Cross-functional
Words the posting leans on
- technical13×
- architecture7×
- customer6×
- platform6×
- data5×
- engineering5×
- lead5×
- solutions5×
- ai/ml4×
- complex4×
- architects3×
- architecture discussions3×
- cloud3×
- competitive3×
- domain3×
- experience3×
Counted from the posting after the mission statement and the legal notices are set aside. The ones near the top are the ones a screener is looking for.
The posting, your resume, and the gaps between them. One click loads all three.