Databricks currently has 122 active AI-related job listings. The majority of these roles are focused on agents, accounting for 37% of the total, followed by serving infrastructure at 25% and application at 24%. Engineering is the dominant function, with 106 listings. The company is primarily hiring in the United States, with 80 roles, and India, with 12 roles. Frequent technology tags include model serving, agent orchestration, and inference infrastructure. In the last 30 days, Databricks has posted 25 new AI roles, representing a 39% increase compared to the previous 30-day period.
Currently tracking 70 active AI roles, with 152 new openings in the last 4 weeks. Primary focus: Agent · Engineering. Salary range $130k–$425k (avg $219k).
Databricks currently has 131 active AI-related roles in our index. The most common open titles are: AI Engineer - FDE (Forward Deployed Engineer) (10), Resident Solutions Architect - Financial Services (8), Senior Solutions Architect - Lakewatch (5), Staff Backend Software Engineer- (AI Platform) (4), Data & AI Platform Architect (Professional Services) (3). Most positions are in Engineering and Product.
Databricks's active AI hiring is concentrated in: agents (39%), serving infrastructure (24%), application (23%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Databricks is hiring AI talent in: United States (83 roles), India (12 roles), United Kingdom (8 roles), Germany (5 roles).
Job postings at Databricks most frequently reference: model serving, agent orchestration, rag, inference infra, llm observability.
In the past 30 days, Databricks has posted 30 new AI-related roles.
| Title | Stage | AI score |
|---|---|---|
| AI Engineer - FDE (Forward Deployed Engineer) AI Engineer - FDE (Forward Deployed Engineer) at Databricks, focused on building and productionizing GenAI applications for customers, acting as a technical advisor, and influencing product roadmap. Involves RAG, multi-agent systems, fine-tuning, and deployment expertise. | AgentServe | 9 |
| Senior Specialist Solutions Engineer (AI/ML) Senior Specialist Solutions Engineer (AI/ML) at Databricks, focusing on guiding customers in architecting and implementing production-grade ML and GenAI applications on the Databricks platform. The role involves pre-sales technical expertise, building MVPs, deep-dive sessions, and thought leadership. | AgentServe |
| 7 |
| Sr. Manager, AI Forward Deployed Engineering (FDE) – EMEA Databricks is seeking a Sr. Manager for their Forward Deployed AI Engineering (AI FDE) team in EMEA. This customer-facing role involves leading and scaling a professional services team focused on helping customers build and productionize GenAI applications using Databricks. The manager will develop executive relationships, align with sales, lead strategic initiatives, and drive business impact through AI/ML. | Ship | 7 |
| Senior Solutions Architect (Enterprise Accounts) Senior Solutions Architect for Databricks in London, UK. This role focuses on advising large enterprise customers on adopting the Databricks Data Intelligence Platform, collaborating with account teams to develop engagement strategies and technical solutions. Requires a technical background in Data Engineering, DWH, or ML/AI, with expertise in public cloud platforms and coding in Python or SQL. The role involves customer interactions, developing collateral, and leading workshops. | — | 5 |
| Senior Solutions Architect - Lakewatch This role is for a Senior Solutions Architect focused on the Lakewatch product line at Databricks, which deals with AI/ML applications in cybersecurity. The architect will guide strategic customers in implementing big data and AI solutions, focusing on anomaly detection, behavioral analytics, and agentic AI workflows. They will collaborate with account teams, provide technical leadership, enable clients through workshops and POCs, and influence the product roadmap by translating field insights into strategic recommendations. The role requires strong experience in cybersecurity engineering, SIEM platforms, and designing customer-facing security solutions, with an emphasis on data and AI applications within cybersecurity. | Agent | 5 |
| Senior Solutions Architect - Lakewatch This role is for a Senior Solutions Architect focused on the Lakewatch product line at Databricks, which deals with AI/ML applications in cybersecurity. The architect will guide strategic customers in implementing big data and AI solutions, focusing on anomaly detection, behavioral analytics, and agentic AI workflows. They will collaborate with account teams, provide technical leadership, enable clients through workshops and POCs, and influence the product roadmap by translating field insights into strategic recommendations. The role requires strong experience in cybersecurity engineering, SIEM platforms, and designing customer-facing security solutions, with an emphasis on data and AI applications within cybersecurity. | Agent | 5 |
| Senior Solutions Architect - Lakewatch This role is for a Senior Solutions Architect focused on the Lakewatch product line at Databricks, which deals with AI/ML applications in cybersecurity. The architect will guide strategic customers in implementing big data and AI solutions, focusing on anomaly detection, behavioral analytics, and agentic AI workflows. They will collaborate with account teams, provide technical leadership, enable clients through workshops and POCs, and influence the product roadmap by translating field insights into strategic recommendations. The role requires strong experience in cybersecurity engineering, SIEM platforms, and designing customer-facing security solutions, with an emphasis on data and AI applications within cybersecurity. | Agent | 5 |
| Senior Solutions Architect - Lakewatch This role is for a Senior Solutions Architect focused on the Lakewatch product line at Databricks, which deals with AI/ML applications in cybersecurity. The architect will guide strategic customers in implementing big data and AI solutions, focusing on anomaly detection, behavioral analytics, and agentic AI workflows. They will collaborate with account teams, provide technical leadership, enable clients through workshops and POCs, and influence the product roadmap by translating field insights into strategic recommendations. The role requires strong experience in cybersecurity engineering, SIEM platforms, and designing customer-facing security solutions, with an emphasis on data and AI applications within cybersecurity. | Agent | 5 |
| Senior Solutions Architect - Lakewatch This role focuses on applying AI and cybersecurity expertise to design and implement customer-facing security solutions, specifically within the Lakewatch product line. The Solutions Architect will guide strategic customers, drive product adoption, and influence the product roadmap by translating field insights into recommendations for Product and Engineering teams. Key responsibilities include technical leadership, engagement strategy, enabling clients through workshops and POCs, and acting as a tier-3 escalation point for complex technical challenges. | Agent | 5 |
| Senior Solutions Architect (Utilities/Energy) This role is for a Senior Solutions Architect at Databricks, focusing on the Utilities/Energy sector in London. The primary responsibility is to advise complex customers on adopting the Databricks Data Intelligence Platform, acting as a trusted advisor and technical expert. The role involves developing customer engagement strategies, coaching account teams, influencing stakeholders, and contributing to the technical community through collateral and workshops. A technical background in Data Engineering, DWH, or ML/AI is required, along with a builder mindset for prototyping and creating tailored solutions. Experience with public cloud platforms (AWS, Azure, Google) and coding in Python or SQL is also necessary. | — | 5 |
| Solutions Architect (Retail/CPG) Solutions Architect for Databricks in the Retail/CPG sector, focusing on demonstrating the value of the Databricks Data Intelligence Platform to clients. The role involves building client relationships, acting as a technical advisor for data and AI architectures, and creating reference architectures and demos. Requires experience in solutions architecture, pre-sales, and a strong understanding of data engineering, data warehousing, AI/ML, GenAI, or AI Agents. | — | 5 |
| Delivery Solutions Architect Delivery Solutions Architect at Databricks, focusing on accelerating customer adoption and success with the Databricks Data Intelligence Platform. This hybrid technical and commercial role involves leading post-sale technical strategy, resolving production issues, coordinating with internal teams, and driving customer value and ROI. | — | 5 |
| Data Platform Solutions Architect (Professional Services) - Emerging Enterprise & DNB This role is for a Data Platform Solutions Architect within Databricks' Professional Services team, focusing on helping Emerging Enterprise & Digital Native clients in EMEA leverage the Databricks platform for their big data and AI initiatives. The role involves designing and implementing data architectures, providing data engineering and data science project support, and enabling customers' end-to-end big data journeys. It requires strong experience in data engineering, distributed computing (Spark), cloud ecosystems, and technical project delivery, with a focus on customer-facing engagements and driving value from data. | — | 5 |
| Lead Solutions Architect - Strategic Customers Lead Solutions Architect for Databricks in the UKI, focusing on strategic enterprise customers. The role involves driving organizational transformation through technology, data, and AI, advising executives on Databricks adoption, and acting as a peer leader for technical communities. Requires deep expertise in Data & AI strategy, enterprise architecture, and a builder mentality to inspire customers through built examples. | — | 5 |
| Engineering Manager - Storage Engineering Manager for Databricks' Lakebase services, focusing on building and scaling mission-critical storage systems that host millions of customer databases. The role involves leading a team of storage and distributed systems experts, driving continuous delivery, ensuring operational excellence, and partnering with other engineering teams to evolve the platform. | — | 0 |
| Engineering Manager - Platform Reliability Engineering Manager for Platform Reliability at Databricks, focusing on building and scaling the data and AI infrastructure platform. The role involves hiring and developing engineers, ensuring high technical standards, and working with leadership on roadmaps. Responsibilities include leading the development of resource management infrastructure, reliable distributed services, and tools for operating services across clouds, with a focus on supporting big data and machine learning workloads. | — | 0 |
| Staff Software Engineer - Backend Databricks is seeking a Staff Software Engineer for their Backend team in London. This role involves working on the core Lakehouse Platform, focusing on distributed systems, large-scale service architecture, workflow orchestration, and developer experience. The engineer will build reliable, secure, and high-performance services for data storage and access, solve reliability issues, and improve system uptime. The position requires significant production experience in backend development, particularly with large-scale distributed systems and SaaS platforms. | — | 0 |