Specialist Solutions Architect - AI/ML Bengaluru, India

Databricks Inc.; Bengaluru; Hybrid; INR 400,000 - 700,000; Full time

Job summary

Databricks Inc. in Bengaluru, India is seeking an AI/ML Specialist Solutions Architect to guide customers in building production-grade ML & AI applications on our platform.

You will work with Solution Architects to align technical roadmaps and mentor teams across GenAI, MLOps, and broader ML domains. The role is hybrid in Bengaluru and requires 5+ years of hands-on ML experience, strong communication skills, and willingness to travel up to 30%.

Qualifications

• 5+ years of hands-on industry ML experience.
• Graduate degree in a quantitative discipline.
• Experience communicating and/or teaching technical concepts to both technical and non-technical audiences.
• Willingness to travel up to 30%.

Responsibilities

• Architect production-level ML & AI workloads on Databricks for customers, including end-to-end pipelines and MLOps.
• Provide advanced technical support during the technical sale process and in post-sale engagements.
• Collaborate with product and engineering to represent customer needs and influence the roadmap.
• Mentor and share AI expertise within the Databricks ML SME community.
• Guide customers in GenAI and agentic systems design and implementation.

Skills

ML experience

AI engineering

Communication

Education

Graduate degree in quantitative discipline

Tools

HuggingFace

LangChain

OpenAI

Job description

Specialist Solutions Architect – AI/ML

Bengaluru, India

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.

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.

As set forth in Databricks’s Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law.

A "disabled veteran" is one of the following: a veteran of the U.S. military, ground, naval or air service who is entitled to compensation (or who but for the receipt of military retired pay would be entitled to compensation) under laws administered by the Secretary of Veterans Affairs; or a person who was discharged or released from active duty because of a service‑connected disability.

A "recently separated veteran" means any veteran during the three‑year period beginning on the date of such veteran's discharge or release from active duty in the U.S. military, ground, naval, or air service.

An "active duty wartime or campaign badge veteran" means a veteran who served on active duty in the U.S. military, ground, naval or air service during a war, or in a campaign or expedition for which a campaign badge has been authorized under the laws administered by the Department of Defense.

An "Armed forces service medal veteran" means a veteran who, while serving on active duty in the U.S. military, ground, naval or air service, participated in a United States military operation for which an Armed Forces service medal was awarded pursuant to Executive Order 12985.

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