Forward Deployed AI Engineer (Senior/Principal Level)
$198,000–$247,500 year
On-siteSan Jose, California, United States
Job Summary
Build full-stack AI/ML applications and agentic systems to demonstrate how these technologies solve real enterprise use cases. Partner directly with customer teams to drive projects from early prototype toward production readiness, advising leaders on roadmaps and solution design. Shape enterprise architecture by codifying successful patterns into repeatable reference architectures, productized solutions, and internal playbooks. Multiply impact by acting as a thought leader, mentoring internal teams, and channeling field signal back to Product to improve AI platforms. Operate autonomously in ambiguous environments to translate technical needs into actionable strategy while embedding with strategic customers.
Required Qualifications
- 7+ years of experience building and deploying production-grade systems
- 2-4 years experience building ML systems or GenAI/agentic applications
- Strong hands-on software engineering, data engineering, and applied AI/ML skills
- Experience building full-stack ML applications or agentic systems
- Experience using modern AI frameworks and tooling
- Experience with foundation models
- Experience with context engineering
- Experience with fine-tuning
- Experience with semantic search
- Experience with Retrieval-Augmented Generation (RAG)
- Experience with 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
- 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
- Must be able to lift 50 lbs
Desired Qualifications
- 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
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