Join Databricks as a Sr Specialist Solutions Architect to architect production-grade ML & AI applications and mentor others in the field.
Posted by employer 2 days ago
First seen on Joblaze 1 day ago
Last verified on the company career page 8 hours ago
Not disclosed in this posting: compensation, visa sponsorship.
Joblaze summary
In the role of Sr. Specialist Solutions Architect - AI & ML Engineer at Databricks, the individual will focus on architecting and optimizing production-grade machine learning and AI applications for enterprise clients. Key skills include hands-on experience with cloud infrastructure, MLOps, and advanced AI techniques such as LLMs and agentic systems. This position is suited for seasoned professionals with a strong technical background and experience in customer-facing roles, particularly those who can communicate complex concepts effectively. The role also involves collaboration with product and engineering teams to influence the development of AI offerings.
Quick facts
- Is the Sr. Specialist Solutions Architect -AI&ML Engineer role remote?
- No — this is an on-site role in Israel.
- How much experience is required?
- At least 7 years of relevant experience for this Sr. Specialist Solutions Architect -AI&ML Engineer role.
- Where is the role based?
- Databricks is hiring for this position in Israel.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: AWS, Azure, GCP, GenAI, HuggingFace, LLMs.
- 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 -AI&ML Engineer role at Databricks.
From the original posting
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Mission
As a Sr Specialist Solutions Architect (SSA) - ML & AI Engineer, 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 enterprise and strategic 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 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:
- 7+ 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
- Experience with data engineering, or a good understanding of the concept of data engineering
- 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] 5+ 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
- Fluency in Hebrew and English
- Location: Tel Aviv area, with commutable distance to the Databricks office in Herzliya
Standard company text repeated across Databricks's postings is omitted here.