Specialist Solutions Architect - AI/ML
Databricks
Bengaluru, IndiahybridPosted 1 month ago
Skill Required
Field Engineering - OtherAIMachine LearningObservabilityEngineeringStatisticsDatabricksLangChainetc.)OpenAPIAzureUnityCloudGenerative AIRAGAWSGCP
Key highlights
- 5+ years of hands-on industry ML experience required
- Hybrid role based in Bengaluru
- Travel up to 30% when needed
- 2+ years customer-facing experience preferred (pre-sales or post-sales)
- Comprehensive benefits and perks offered
Role overview
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 is a Hybrid role, based in Bengaluru.
Responsibilities
- 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
- Continue to strengthen technical skills through applying cutting-edge technologies in GenAI, MLOps, and ML more broadly, expanding impact through mentorship, and establishing yourself as an AI thought leader
Requirements
- 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
- Can meet expectations for technical training and role-specific outcomes within 3 months of hire
- Can travel up to 30% when needed
Nice to have
- 2+ years customer-facing experience in a pre-sales or post-sales role
Benefits
- Comprehensive benefits and perks that meet the needs of all employees (specific details available by region via the provided link)
- Commitment to fostering a diverse and inclusive culture where everyone can excel
Additional details
- Job code: FEQ327R299
- This is a Hybrid role, based in Bengaluru
- 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
- Hiring practices are inclusive and meet equal employment opportunity standards; individuals 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