Specialist Solutions Architect - AI/ML

Databricks Inc.; Bengaluru; Hybrid; INR 1,800,000 - 2,800,000; Full time

Job summary

Databricks Inc. is looking for an AI/ML Specialist Solutions Architect (SSA) based in Bengaluru. In this hybrid role, you will guide customers in building production-grade ML & AI applications while collaborating with Solution Architects. You'll play a crucial part in optimizing AI workloads and representing the customer voice in product development.

This position requires 5+ years of ML experience and strong communication skills to succeed in a customer-facing capacity. You will also mentor and drive technical expertise within the team.

Qualifications

• 5+ years of hands-on industry ML experience.
• Ability to communicate technical concepts to various audiences.
• Passion for collaboration and driving business value.

Responsibilities

• Architect production-level ML & AI workloads.
• Build, scale, and optimize customer AI workloads.
• Collaborate with product and engineering teams.

Skills

Machine Learning Engineering

AI Expertise

Cloud Infrastructure

Communication Skills

Customer Interaction

Tools

HuggingFace

Langchain

OpenAI

Job description

AI/ML Specialist Solutions Architect (SSA)

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 by 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 the 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, and participate 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.

Qualifications

• 5+ years of hands‑on industry ML experience in at least one of the following categories: ML Engineer (build and maintain production‑grade cloud infrastructure that supports deployment of ML applications, including drift monitoring) or 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).
• 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 of customer‑facing experience in a pre‑sales or post‑sales role.
• Ability to meet expectations for technical training and role‑specific outcomes within 3 months of hire.
• Willingness to 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, and Grammarly, rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI.

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.