Forward Deployed AI Engineer

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.

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

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.

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

This role is not eligible for immigration support or relocation.

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

Paid Volunteer Time

Employee Resource Groups

EEO/VEVRAA Originally posted on Himalayas