Forward Deployed Engineer

About the role

Organize the deployment of AI workflows and architectures across diverse AI and technology platforms. Facilitate solution design across enterprise technology stack to integrate into the ecosystem of AI models and multi provider platforms. This is not a consulting role or a project delivery role.

What you'll do

• Embed directly with client infrastructure and engineering teams to design, execute, and operationalize end-to-end transformation — spanning cloud foundation
• Accountable for production outcomes — platform reliability, time-to-value, adoption, and scalability — measured against business metrics, not project milestones
• Move from ambiguous infrastructure problems to working production environment through rapid iteration: days to validated architecture
• Execute application migration hands-on — rehost (lift & shift), re-platform (lift & optimize)
• Architect and implement network and security foundations: Zero Trust, SASE/SSE, micro-segmentation, container security

What you need

• 10–18 yrs of experience
• Kubernetes
• AWS
• Network security
• ETL
• Python
• GCP
• Any graduate

Good to have

• Docker
• Terraform
• Azure
• SAP
• CI/CD
• NoSQL