Databricks9 days ago

Specialist Solutions Architect - AI/ML

RUB 15,000–20,625per month · before tax

MARKET

15,900 ₽median for this role

Data Scientist · 115 jobs with disclosed pay

5,000half of the offers: 12,796–20,50043,793

At market · above 44% of offers

Central - United States; Wes…

Responsibilities

01Architect AI/ML Workloads: Design and deploy production-level ML and AI architectures using the Databricks unified platform, including AI agents, end-to-end pipeline automation, and model training/inference optimization
02Lead GenAI Implementation: Act as a hands-on practitioner for enterprise Generative AI solutions, including Retrieval-Augmented Generation (RAG), tool-calling/multi-agent orchestration, guardrails, AI evaluation, and observability systems
03Optimize & Scale: Build and maintain scalable customer AI workloads, applying best-in-class MLOps practices across diverse industry domains
04Technical Pre-Sales Support: Partner with Solutions Architects during the sales cycle—guiding prospects through feature engineering, model tracking, serving, and monitoring within a single platform
05Influence the Product Roadmap: Translate customer feedback into actionable product insights by collaborating with Engineering and Product teams to shape the future of Databricks' AI offerings

015+ years of hands-on industry experience in at least one of the following domains: ML Engineering: Building and maintaining cloud infrastructure (AWS, Azure, or GCP) supporting production ML applications and drift monitoring
02AI Engineering: Working with LLMs and agentic systems, including vector databases, fine-tuning, AI guardrails, and frameworks like LangChain, Hugging Face, or OpenAI APIs
03Demonstrated ability to translate complex AI/ML concepts for both technical and non-technical audiences
04Strong passion for continuous learning, cross-team collaboration, and delivering tangible business value through AI
05Understanding of modern lakehouse architectures (Delta Lake, data modeling, BI integration) across major cloud platforms (AWS, Azure, or GCP)
06[Preferred] Prior experience in a pre-sales or post-sales technical consulting role
07Graduate degree in Computer Science, Engineering, Statistics, or a related quantitative field—or equivalent practical experience
08Ability to travel up to 30% as needed for customer engagements
09Ability to hit role-specific training and technical delivery milestones within the first 6 months