Forward Deployed AI Engineer

We are 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 the Cloudera platform.

Responsibilities:

• Develop full-stack AI/ML applications on Cloudera to demonstrate how AI and agentic systems solve real enterprise use cases.
• Work directly with customer teams to drive AI and agentic use cases from early prototype toward production readiness.
• Advise customer leaders on AI roadmaps, solution design, deployment, and AI use cases.
• Standardise successful patterns into repeatable reference architectures, productized solutions, starter kits, and internal playbooks.
• Act as a thought leader, mentor Cloudera teams, and contribute to resources that grow our overall AI capability.
• Channel field and customer feedback back to Product teams to continuously improve our AI platform and products.

Requirements:

• 7+ years of experience building and deploying production-grade systems.
• 2-4 years of experience specifically focused on building ML systems or GenAI and agentic applications.
• Strong hands-on software engineering, data engineering, and applied AI/ML skills.
• Demonstrated experience building full-stack ML applications or agentic systems using modern AI frameworks and tooling.

Good to Have:

• Experience with MLOps frameworks, LLM orchestration, and modern AI stacks (e. g., LangChain, LlamaIndex, vLLM, Ray, MLflow).
• Hands-on experience with Vector Databases and Retrieval-Augmented Generation (RAG) architectures.
• Background in client-facing consulting, technical account management, or solution architecture within enterprise environments.
• Familiarity with distributed data engineering platforms (Apache Spark, Iceberg, Kubernetes).