Specialist Solutions Architect - AI/ML

<p data-pm-slice="1 1 []">FEQ327R299</p> <p>As an AI/ML Specialist Solutions Architect (SSA), you will be the trusted technical ML &amp; 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 &amp; 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. </p> <p>This is a Hybrid role, based in Bengaluru. </p> <p><strong>The impact you will have:</strong></p> <ul> <li>Architect production-level ML &amp; 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. </li> <li>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</li> <li>Build, scale, and optimize customer AI workloads and apply best-in-class MLOps to productionize these workloads across a variety of domains</li> <li>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</li> <li>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</li> </ul> <p><strong>What we look for:</strong></p> <ul> <li>5+ years of hands-on industry ML experience in at least one of the following:</li> <ul> <li>ML Engineer: Build and maintain production-grade cloud (AWS/Azure/GCP) infrastructure that supports the deployment of ML applications, including drift monitoring.</li> <li>AI Engineer: Experience with the latest techniques in LLMs &amp; agentic systems, including vector databases, fine-tuning LLMs, AI guardrail systems, and deploying LLMs with tools such as HuggingFace, Langchain, and OpenAI</li> </ul> <li>Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience</li> <li>Experience communicating and/or