Cloudera Logo

Cloudera

Forward Deployed AI Engineer (Senior/Principal Level)

Reposted One Month Ago
In-Office
San Jose, CA, USA
198K-248K Annually
Senior level
In-Office
San Jose, CA, USA
198K-248K Annually
Senior level
Embed with strategic enterprise customers to prototype, build, and productionize full-stack generative AI and agentic applications; advise on AI strategy, codify repeatable solution patterns, mentor teams, and channel field feedback to product. Focus on scalable, secure AI architectures and LLM/MLOps practices to operationalize RAG, fine-tuning, semantic search, and agentic workflows.
The summary above was generated by AI

Business Area:

Corp. Strategy

Seniority Level:

Director

Job Description: 

At Cloudera, we empower people to transform complex data into clear and actionable insights. With as much data under management as the hyperscalers, we're the preferred data partner for the top companies in almost every industry.  Powered by the relentless innovation of the open source community, Cloudera advances digital transformation for the world’s largest enterprises.

About Forward Deployed Engineering (FDE) at Cloudera

Cloudera’s Forward Deployed Engineering (FDE) function sits within the Applied AI organization, and is a specialized AI/ML engineering team focused on accelerating AI adoption within our most strategic enterprise customers. We embed directly with customers to rapidly pilot AI use cases, solve real-world business challenges, and help operationalize advanced AI capabilities within enterprise environments. 

Cloudera FDEs operate at the intersection of customer engineering, AI innovation, and enterprise deployment - driving high-impact AI outcomes for customers and codifying solution patterns for repeatable delivery at scale.

About the role

Cloudera is looking for a seasoned full-stack ML engineer who can embed with customers to design technical use cases, and ship scalable enterprise AI/ML solutions on Cloudera. As a Forward Deployed AI Engineer you will:

  • Build & Prototype AI Apps - Develop full-stack AI/ML applications on Cloudera to demonstrate how AI and agentic systems solve real enterprise use cases

  • Partner with Strategic Customers - Work directly with customer teams to drive AI and agentic use cases from early prototype toward production readiness

  • Shape Enterprise AI Architecture - Advise customer leaders on AI roadmaps, solution design, deployment, and AI use cases

  • Codify Solution Patterns - Standardize successful patterns into repeatable reference architectures, productized solutions, starter kits, and internal playbooks 

  • Multiply impact - Be a thought leader, mentor Cloudera teams, and contribute to resources that grow our AI capability. Channel field and customer signal back to Product teams to improve our AI platform and products

We are excited if you have:

  • 7+ years of experience building and deploying production-grade systems, including 2-4 years experience building ML systems or GenAI/agentic applications

  • Strong hands-on software engineering, data engineering, and applied AI/ML skills, with experience building full-stack ML applications or agentic systems using modern AI frameworks and tooling

  • Experience with foundation models, context engineering, fine-tuning, semantic search, Retrieval-Augmented Generation (RAG), and agentic workflows

  • Deep understanding of LLMOps/MLOps practices including evaluation, observability, serving, monitoring, and lifecycle management

  • Experience designing and implementing scalable AI solution architectures aligned to enterprise standards (security, governance, compliance, etc.)

  • The ability to engage directly with customers, both technical and executive audiences - to translate needs into actionable technical strategy

  • High agency with the ability to operate autonomously and thrive in ambiguous, fast-moving customer environments

  • A collaborative mindset and passion for enabling others through mentorship, internal enablement, or reusable tooling

  • Bsc/Msc/PhD in related field or equivalent experience

  • This is a customer-facing role combining remote and in-person engagement. Occasional travel may be required for on-site customer engagement, industry events, and team meetings - up to 20% depending on business needs.

You may also have:

  • Experience with cloud technologies (AWS, Azure, GCP)

  • Experience using the Cloudera platform 

  • Experience with open source big data technologies like Spark, Iceberg, NiFi, etc

  • Experience with AI infrastructure and runtime technologies including NVIDIA GPUs, inference optimization, model serving, or distributed AI workloads

The anticipated annual base salary range for this position is:

New York & California: $198,000-$247,500

Individual compensation within the published range is determined by the candidate's skills, experience, qualifications, and primary work location. In addition to base pay, sales roles are eligible for Cloudera's commission plan, while non-sales roles are eligible for the corporate incentive plan. All employees receive a comprehensive benefits package.

This role is not eligible for immigration support or relocation.

What you can expect from us:

  • Generous PTO Policy 

  • Support work life balance with Unplugged Days

  • Flexible WFH Policy 

  • Mental & Physical Wellness programs 

  • Phone and Internet Reimbursement program 

  • Access to Continued Career Development 

  • Comprehensive Benefits and Competitive Packages 

  • Paid Volunteer Time

  • Employee Resource Groups

EEO/VEVRAA

#LI-SZ1

#LI-REMOTE

HQ

Cloudera Santa Clara, California, USA Office

Santa Clara, CA, United States

Cloudera San Jose, California, USA Office

6220 America Center Dr, 5th Floor, San Jose, California, United States, 95002

Similar Jobs

35 Minutes Ago
In-Office
120K-180K Annually
Senior level
120K-180K Annually
Senior level
Aerospace • Artificial Intelligence • Machine Learning • Robotics • Software
Leads Shield AI’s Ukraine V-BAT customer training program, overseeing daily training operations, instructor readiness, aircraft availability, student progression, deployments, logistics, intelligence fusion, force protection, export compliance, and operational risk mitigation. Coordinates with Ukrainian and NATO counterparts, internal technical and program teams, and customer stakeholders. Develops instructor capability, integrates new technologies, resolves operational issues, and improves course delivery and mission outcomes in dynamic or austere environments.
Top Skills: V-Bat
41 Minutes Ago
Remote or Hybrid
US
250K-288K Annually
Senior level
250K-288K Annually
Senior level
Artificial Intelligence • Productivity • Sales • Software
Own the full sales cycle for named enterprise accounts, from relationship building and stakeholder engagement through negotiation and contracting. Demonstrate monday.com’s value and connect its solution to customer ROI, develop account strategies, coordinate cross-functional support, and serve as an escalation point for commercial and relationship issues.
Top Skills: AIMonday.ComSaaS
48 Minutes Ago
Hybrid
Senior level
Senior level
Big Data • Real Estate • Software
Own the vision, strategy, and roadmap for Realtor.com’s value-add products serving real estate agents and brokers. Assess markets, competition, customer needs, and investment opportunities; build business cases and secure leadership buy-in. Translate strategic bets into detailed product briefs, guide cross-functional execution, validate demand through pilots, and remain accountable for product metrics and business outcomes through launch.

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account