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Specialist Solutions Architect - AI/ML

4 weeks, 1 day ago
Brazil
Full-time
Senior
Machine Learning Engineer
Artificial Intelligence and Machine Learning
Apache Spark AWS Azure Databricks Feature Engineering GCP Generative AI Hugging Face LLM Machine Learning MLflow MLOps
Apply Now
Databricks

Databricks

Databricks is the pioneering data intelligence platform, empowering organizations worldwide to solve complex data challenges with AI-driven analytics solutions.

IT Services
1K-5K
Founded 2013
$4450M raised
View All Jobs 51

Description

  • Architect production-grade ML and AI workloads for customers on Databricks, including agents, end-to-end ML pipelines, training and inference optimization, cloud service integrations, and MLOps.
  • Serve as a technical expert for enterprise GenAI solutions, including RAG architectures, agentic systems, natural language querying, AI evaluation and observability, and monitoring.
  • Build, scale, and optimize customer AI workloads and productionize them across a variety of domains.
  • Provide advanced technical support to Solution Architects during the technical sale, from feature engineering through training, tracking, serving, and model monitoring.
  • Collaborate with product and engineering teams to represent customer needs, define priorities, influence the roadmap, and drive adoption of Databricks AI offerings.
  • Participate in the broader ML SME community at Databricks.
  • Mentor others and help expand the team’s technical impact in GenAI, MLOps, and ML.

Requirements

  • 5+ years of hands-on industry ML experience.
  • Experience as an ML Engineer building and maintaining production-grade cloud infrastructure on AWS, Azure, or GCP, including drift monitoring, or as an AI Engineer working with LLMs and agentic systems.
  • Experience with vector databases, fine-tuning LLMs, AI guardrails, and deploying LLMs with tools such as HuggingFace, LangChain, and OpenAI.
  • Graduate degree in a quantitative discipline such as Computer Science, Engineering, Statistics, or Operations Research, or equivalent practical experience.
  • Experience communicating or teaching technical concepts to both technical and non-technical audiences.
  • Passion for collaboration, lifelong learning, and driving business value through ML and AI.
  • Preferred: 2+ years of customer-facing experience in a pre-sales or post-sales role.
  • Ability to meet technical training and role-specific outcomes within 3 months of hire.
  • Ability to travel up to 30% when needed.

Benefits

  • Remote work option.
  • Comprehensive benefits and perks package.
  • Eligibility for region-specific employee benefits.
  • Opportunity to work at a company serving more than 10,000 organizations worldwide.
  • Opportunity to work on leading data and AI platform technology.

Interested in this position?

Apply directly on the company website

Apply Now

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