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Specialist Solutions Architect - AI & ML (Communications, Media, Entertainment & Games)

4 days, 17 hours ago
United States
Full-time
Senior
AI 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 63

Description

  • Architect production-grade ML and AI workloads for customers on Databricks, including agents, end-to-end ML pipelines, training and inference optimization, cloud-native integrations, and MLOps.
  • Serve as a trusted technical advisor for enterprise GenAI solutions, including RAG architectures, agentic systems, natural language querying, AI evaluation, observability, and monitoring.
  • Build, scale, and optimize customer AI workloads and help productionize them across a variety of domains.
  • Provide advanced technical support to Solution Architects during the technical sales process, spanning feature engineering, training, tracking, serving, and model monitoring.
  • Collaborate with product and engineering teams to represent customer needs, influence priorities, and help shape the product roadmap.
  • Participate in the broader ML subject matter expert community at Databricks.
  • Strengthen internal and external technical capabilities through mentorship and thought leadership in AI 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 experience as an AI Engineer working with LLMs and agentic systems.
  • Experience with vector databases, LLM fine-tuning, AI guardrail systems, and deploying LLMs using 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 technical concepts to both technical and non-technical audiences.
  • Passion for collaboration, continuous 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 expectations within 3 months of hire.
  • Willingness to travel up to 30% when needed.
  • Remote work is available, with preference for candidates located in the job listing area.

Benefits

  • Local pay range of $219,100 to $301,300 USD.
  • Eligibility for annual performance bonus.
  • Eligibility for equity as part of the total compensation package.
  • Comprehensive benefits and perks offered regionally.
  • Remote work option for the role.

Interested in this position?

Apply directly on the company website

Apply Now

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