About this role

Embed with strategic enterprise customers to rapidly diagnose business challenges, map data landscapes, and co-design AI solutions on-site.
Lead end-to-end solution design and delivery of agentic AI workflows, RAG pipelines, knowledge graphs, and real-time applications.
Drive rapid prototyping and proof-of-concepts (POCs) demonstrating value within days or weeks.
Act as primary technical owner across the full project lifecycle: scoping, architecture, build, deployment, and post-launch optimization.
Build scalable data pipelines across structured and unstructured formats using vector databases.
Develop, optimize, and fine-tune LLM/SLM models and multi-agent systems.
Integrate solutions across heterogeneous enterprise architectures (ERP, CRM, databases, data lakes).
Feed customer insights back to internal Platform and Product teams to scale future feature rollouts.

Bachelor's degree in Computer Science, Data Science, or equivalent practical experience.
7+ years of professional software, data engineering, or AI/ML delivery experience.
4+ years of experience in a customer-facing or professional services engineering capacity.
Deep technical experience with Python, enterprise-scale AI/ML, and DevOps workflows (Docker, Kubernetes).
Willingness to travel up to 25% for customer engagements.

Forward Deployed Engineer – Enterprise AI Solutions

Key skills