Forward Deployed AI Engineer

About the Job:
At the company, 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, the company advances digital transformation for the world’s largest enterprises.

About Forward Deployed Engineering (FDE) at the company:
The company’s FDE function is a specialized AI 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. The company 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:
The company is looking for a seasoned hands-on AI engineer who can embed with customers, shape technical direction, and ship elegant, scalable, enterprise-quality AI applications. As a Forward Deployed AI Engineer, you will:

• Build & Prototype AI Apps: Develop full-stack AI applications on the company 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 Strategy: Advise customer leaders on AI roadmaps, use case prioritization, deployment considerations, and align AI initiatives with business goals.
• Codify Solution Patterns: Standardize successful patterns into repeatable reference architectures, productized solutions, starter kits, and internal playbooks.
• Multiply Impact: Mentor the company 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.

You Are Excited If You Have:

• 5+ years of experience building and deploying production-grade systems, including 2-3 years of experience building Generative AI or agentic applications.
• Strong hands-on software engineering, data engineering, and applied AI/ML skills, with experience building full-stack AI 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.).
• 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.

You May Also Have:

• Experience with cloud technologies (AWS, Azure, GCP).
• Experience using the company 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.

What You Can Expect From Us:

• Generous PTO Policy
• Support for work-life balance with Unplugged Days
• Flexible Work From Home Policy
• Mental & Physical Wellness programs
• Phone and Internet Reimbursement program
• Continued Career Development
• Comprehensive Benefits and Competitive Packages
• Paid Volunteer Time
• Employee Resource Groups

Language Requirements: Not specified.