Principal Forward Deployed AI Engineer (Enterprise AI Platforms)
Company: Jobs via Dice
Location: Location not specified (Remote)
Type: Full-time
Level: head
Remote: Yes
Posted: 2026-02-17
About this role
Dice is the leading career destination for tech experts at every stage of their careers. Our client, Logisoft Technologies Inc, is seeking the following. Apply via Dice today!
About The Role
As a Sr. Forward Deployed Engineer (Sr. FDE), you will be embedded directly with our most strategic enterprise customers to architect, build, and deploy high-impact AI solutions. This role combines deep technical engineering with business acumen, customer empathy, and end-to-end solution ownership. You become the technical bridge between Rackspace’s AI platform capabilities and the customer’s most pressing business challenges. You will own the full solution lifecycle from problem discovery and rapid prototyping through production deployment and continuous optimization while feeding field insights back to our product and platform engineering teams.
This role is ideal for someone who thrives at the intersection of engineering, strategy, and customer engagement and wants the autonomy and impact typically found at an AI startup, backed by the scale and resources of a global technology company.
Key Accountabilities
- Embed with strategic enterprise customers to rapidly diagnose critical 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 decision-making applications.
- Drive rapid prototyping and POCs that demonstrate tangible business value within days to weeks.
- Serve as the primary technical owner across the full project lifecycle: scoping, architecture, build, deployment, and post-launch optimization.
- Architect production-grade Enterprise AI applications on Partner Foundry Solutions or Rackspace Private Cloud and GPU infrastructure, integrating with enterprise systems (ERP, CRM, data warehouses, data lakes).
- Build scalable data pipelines across structured and unstructured data using ETL/ELT, vector datab...