Sr. Specialist Solutions Architect
Join Databricks as a Sr. Specialist Solutions Architect to lead the development of production-grade ML & AI applications.
Posted by employer 1 month ago
First seen on Joblaze 1 month ago
Last verified on the company career page 1 day ago
Skills & Technologies
AI in the day-to-day
You will work with cutting-edge technologies in GenAI, MLOps, and ML, applying best practices to productionize AI workloads.
Requirements
- Experience
- 5+ years
- Education
- Master's degree
Not disclosed in this posting: compensation, visa sponsorship.
Joblaze summary
In the role of Sr. Specialist Solutions Architect at Databricks, the individual will focus on designing and implementing production-level machine learning and AI applications for clients, ensuring alignment with the Databricks platform. Key skills include expertise in MLOps, cloud infrastructure, and advanced AI techniques, particularly in generative AI and agentic systems. This position is ideal for seasoned professionals with a strong technical background and experience in customer-facing roles, who are passionate about driving business value through AI. The role also involves collaboration with product and engineering teams to influence the product roadmap based on customer needs.
Joblaze insights
- Listed about a month ago — first seen on Joblaze August 12, 2026. Last confirmed on Databricks's careers page October 9, 2026.
- This exact title is also open at 1 other location at Databricks: Singapore.
Quick facts
- Is the Sr. Specialist Solutions Architect role remote?
- It's hybrid — Databricks expects some on-site time in Melbourne, Australia; Sydney, Australia.
- How much experience is required?
- At least 5 years of relevant experience for this Sr. Specialist Solutions Architect role.
- Where is the role based?
- Databricks is hiring for this position in Melbourne, Australia; Sydney, Australia.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: AWS, Artificial Intelligence, Azure, GCP, GenAI, HuggingFace.
- What seniority level is this role?
- Databricks targets senior candidates for this position.
- Is this full-time or contract?
- Full-time for this Sr. Specialist Solutions Architect role at Databricks.
From the original posting
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Location: Melbourne or Sydney
As a 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.
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
BenefitsStandard company text repeated across Databricks's postings is omitted here.