Databricks01/14/2025
Специалист по архитектуре решений - AI/ML
Salary not specified
MARKET
15,349 ₽median for this role
Solution Architect · 48 jobs with disclosed pay
5,600half of the offers: 14,999–18,25823,987
The employer didn't disclose pay — compare with the market yourself.
Sao Paulo
Responsibilities
- 01Architect production-level ML & AI workloads for customers using Databricks' unified platform, including agents, end-to-end ML pipelines, training/inference optimization, integration with cloud-native services, MLOps, etc.
- 02Serve 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
- 03Build, scale, and optimize customer AI workloads and apply best-in-class MLOps to productionize these workloads across a variety of domains
- 04Provide 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
- 05Collaborate 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
Requirements
- 015+ years of hands-on industry ML experience in at least one of the following: ML Engineer, AI Engineer
- 02Experience 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
- 03Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience
- 04Experience communicating and/or teaching technical concepts to non-technical and technical audiences alike
- 05Passion for collaboration, life-long learning, and driving business value through ML & AI
- 062+ years customer-facing experience in a pre-sales or post-sales role
- 07Can meet expectations for technical training and role-specific outcomes within 3 months of hire
- 08Can travel up to 30% when needed
What we offer
- 01Remote work possible
- 02Comprehensive benefits and perks
- 03Commitment to diversity and inclusion