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

3 days 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 168

Description

  • Architect production-grade ML and AI workloads for customers on Databricks, including agents, end-to-end ML pipelines, and training and inference optimization.
  • Serve as a technical expert for enterprise GenAI solutions such as RAG, agentic systems, natural language querying, AI evaluation, observability, and monitoring.
  • Build, scale, and optimize customer AI workloads and apply MLOps practices to productionize them across different domains.
  • Provide advanced technical support to Solution Architects during the technical sales process, covering feature engineering, training, tracking, serving, and model monitoring.
  • Collaborate with product and engineering teams to represent customer needs, define priorities, and influence the product roadmap.
  • Support adoption of Databricks AI offerings through cross-functional partnership and customer engagement.
  • Participate in the broader ML subject matter expert community within Databricks.
  • Strengthen technical expertise in GenAI, MLOps, and ML while expanding influence through mentorship and thought leadership.

Requirements

  • 5+ years of hands-on industry ML experience in at least one of the following areas: ML engineering or AI engineering.
  • Experience building and maintaining production-grade cloud infrastructure on AWS, Azure, or GCP that supports ML application deployment, including drift monitoring.
  • Experience with latest LLM and agentic system techniques, including vector databases, fine-tuning, AI guardrail systems, and deploying LLMs with tools such as Hugging Face, 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 non-technical and 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 expectations within 3 months of hire.
  • Ability to work remotely, with preference for candidates located in the job listing area and willing to travel up to 30% when needed.

Benefits

  • Base salary range of $180,000 to $247,500 USD across Zones 1 through 4.
  • Eligibility for annual performance bonus.
  • Eligibility for equity compensation.
  • Comprehensive benefits and perks offered by Databricks, with regional details available to candidates.
  • Remote work option for this role.
  • Opportunity to work for a company that is widely used by more than 10,000 organizations, including a large share of the Fortune 500.

Interested in this position?

Apply directly on the company website

Apply Now

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