专家解决方案架构师 - AI/ML
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Specialist Solutions Architect - AI/MLDatabricks · Bengaluru, 印度
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职位描述
机器翻译FEQ327R299
作为 AI/ML 专家解决方案架构师（SSA），您将成为 Databricks 客户和现场工程组织信赖的技术 ML 与 AI 专家。您将与解决方案架构师合作，指导客户在 Databricks 上架构生产级 ML 与 AI 应用，同时使其技术路线图与不断演进的 Databricks 数据智能平台保持一致。您将通过应用 GenAI、MLOps 以及更广泛的 ML 领域的前沿技术来持续强化自身技术能力，通过指导他人扩大影响力，并确立自己作为 AI 思想领袖的地位。
这是一个混合办公职位，工作地点位于班加罗尔。
您将产生的影响：
• 使用我们的统一平台为客户架构生产级 ML 与 AI 工作负载，包括智能体、端到端 ML 流水线、训练/推理优化、与云原生服务的集成、MLOps 等。
• 作为企业级 GenAI 解决方案的可信赖实践者，包括 RAG 架构、智能体系统（工具调用智能体、多智能体编排、护栏）、结构化数据的自然语言查询、AI 评估与可观测性以及监控系统
• 构建、扩展并优化客户的 AI 工作负载，并应用一流的 MLOps 在各类领域中将这些工作负载投入生产
• 在技术销售过程中为解决方案架构师提供高级技术支持，涵盖特征工程、训练、跟踪、服务到模型监控，全部在单一平台内完成，同时参与 Databricks 更大的 ML 专家社区
• 与产品和工程团队跨职能协作，代表客户发声，确定优先级，并影响产品路线图，助力 Databricks AI 产品的采用
我们寻找的人才：
• 5 年以上行业 ML 实操经验，至少具备以下其中一项：
• 机器学习工程师：构建并维护生产级云（AWS/Azure/GCP）基础设施，支持 ML 应用的部署，包括漂移监控。
• AI 工程师：具备 LLM 与智能体系统最新技术的经验，包括向量数据库、微调 LLM、AI 护栏系统，以及使用 HuggingFace、Langchain 和 OpenAI 等工具部署 LLM
• 定量学科（计算机科学、工程、统计学、运筹学等）的研究生学位或同等实践经验
• 具备向非技术和技术受众沟通和/或教授技术概念的经验
• 对协作、终身学习以及通过 ML 与 AI 推动业务价值充满热情
• [优先] 2 年以上售前或售后面向客户的经验
• 能够在入职 3 个月内达到技术培训和岗位特定成果的预期
• 能够根据需要出差最多 30%
关于 Databricks
Databricks 是数据和 AI 公司。全球超过 20,000 家组织——包括 adidas、AT&T、Bayer、Block、Mastercard、Rivian、Unilever 以及 70% 的财富 500 强企业——依赖 Databricks 数据 + AI 平台来构建和扩展数据与 AI 应用、分析和智能体。Databricks 总部位于旧金山，在全球拥有 30 多个办事处，提供统一平台，包括 Genie、Lakebase、Agent Bricks、Lakeflow、Lakehouse 和 Unity Catalog。如需了解更多信息，请在 LinkedIn、X、YouTube 和 Instagram 上关注 Databricks。
福利待遇
在 Databricks，我们致力于提供全面的福利和津贴，以满足所有员工的需求。如需了解您所在地区所提供福利的具体详情，请点击此处。
我们对多元与包容的承诺
在 Databricks，我们致力于营造多元包容的文化，让每个人都能脱颖而出。我们非常重视确保我们的招聘实践具有包容性并符合平等就业机会标准。在 Databricks 寻求就业的个人，不会因年龄、肤色、残疾、族裔、家庭或婚姻状况、性别认同或表达、语言、国籍、身体和心理能力、政治派别、种族、宗教、性取向、社会经济状况、退伍军人身份及其他受保护特征而受到区别对待。
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职位描述
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 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. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram .
福利待遇
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.