Solution Engineer - APAC

FEQ327R299 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.  The impact you will have: * 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 What we look for: * 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 * [Preferred] 2+ years customer-facing experience in a pre-sales or post-sales role * Can meet expectations for technical training and role-specific outcomes within 3 months of hire * Can travel up to 30% when needed About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks 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.

P-1563 At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started in Bengaluru , India ! As a software engineer with a backend focus, you will work with your team to build infrastructure for the Databricks platform at scale. About the Team We manage the infrastructure efficiency for one of the world's largest data and AI platforms. Operating at massive scale across AWS, Azure, and GCP, our mission is to ensure that every dollar spent on cloud infrastructure is optimized. The MCE team builds the critical tools, frameworks, and automated systems that provide deep cost visibility and ensure maximum resource utilization. We are looking for engineers to help us engineer systems that optimize our footprint as we scale into the hundreds of millions of dollars in cloud spend. The Role As a Senior Software Engineer, you will own the end-to-end design and delivery of high-impact engineering projects. You will act as a primary owner of key system components, handling technical ambiguity, collaborating with stakeholders, and delivering robust, scalable solutions. Your work will directly impact our infrastructure margins by building the next generation of cost attribution, automated resource management, and efficiency tooling. The impact you will have * End-to-End System Design: Lead projects from concept to deployment. You will design and build scalable systems that handle high-volume data streams to provide accurate cost attribution and resource management, turning chaotic cloud spend into actionable data. * Scaling & Optimization: Identify and eliminate inefficiencies in our cloud architecture. You will engineer solutions that mitigate resource waste, improve attribution accuracy, and raise the efficiency of our underlying cloud and data infrastructure. * Component Ownership: Act as the technical expert for your service area. You will take ownership of the full lifecycle of your services, ensuring high code quality, effective monitoring, and low operational overhead. * Bridge the Gap: Work effectively with product and infrastructure teams to turn business needs into technical specifications. You will develop tooling that simplifies the complex world of cloud economics for other engineers and budget owners. * Mentorship & Best Practices: Uplevel the team by contributing to code reviews, sharing engineering best practices, and mentoring junior engineers. You will drive a shift-left culture — catching cost and efficiency problems early in the development cycle — by integrating efficiency checks directly into the developer workflow. * Automate the manual: Build the automation and AI/agentic tooling that detects waste, attributes cost, and remediates issues with minimal human intervention — turning repetitive cost operations into self-running systems. What We Look For * 6+ years of experience, including producing high-quality production code and detailed technical design documents for distributed systems. * Proven ability to break down complex, multi-month projects into actionable milestones and tasks. * Solid grasp of industry best practices for distributed systems (monitoring, documentation, testing, and "fit and finish"). * Experience in optimizing cloud resource utilization or developing large-scale distributed tools. * Ability to make well-reasoned trade-offs between system performance, development velocity, and technical debt.   About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks 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.