Forward Deployed AI Engineer

Cloudera; Brasil; Presencial; BRL 420 000 - 720 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Generous PTO Policy

Unplugged days

Flexible WFH policy

Wellness programs

Internet reimbursement

Career development

Resumo da oferta

Cloudera is seeking a seasoned Forward Deployed AI Engineer to embed with customers and design scalable AI/ML solutions that deliver real business value. You will prototype full‑stack AI apps, partner with customer teams to drive AI initiatives, and shape enterprise architectures that meet security and governance standards.

You will guide solution patterns, document reusable playbooks, and mentor Cloudera teams while advancing our AI platform and products for large enterprises.

Qualificações

• 7+ years building and deploying production-grade systems.
• 2–4 years building ML systems or GenAI/agentic apps.
• Strong hands-on software engineering, data engineering, and applied AI/ML skills.
• Experience with foundation models, context engineering, fine-tuning, semantic search, RAG, and agentic workflows.
• Deep understanding of LLMOps/MLOps: evaluation, observability, serving, monitoring, lifecycle management.
• Experience designing scalable AI architectures aligned to enterprise standards.
• Ability to engage with customers, translate needs into technical strategy.
• High agency with autonomy in fast-moving environments.
• Collaborative mindset and mentorship.

Responsabilidades

• Build & prototype AI apps and demonstrate AI/agentic capabilities at enterprise scale.
• Partner with strategic customers to move prototypes toward production.
• Advise on AI roadmaps, solution design, deployment and governance.
• Codify patterns into repeatable reference architectures and playbooks.
• Mentor teams and contribute to reusable tooling and platform improvements.

Conhecimentos

Full-stack ML

ML systems

GenAI apps

LLMOps

MLOps

LLMs

Context engineering

Agentic workflows

Formação académica

BSc/MSc/PhD in related field

Ferramentas

NVIDIA GPUs

Spark

Iceberg

NiFi

Descrição da oferta de emprego

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.

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

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

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