Forward Deployed Engineer (AI Platform)

We’re looking for an experienced Forward Deployed Engineer to deploy and integrate an enterprise AI platform into complex customer environments.

You’ll work hands-on with software engineering, cloud infrastructure, DevOps, security, and AI/LLM technologies across cloud and on-premises environments.

Responsibilities

• Deploy and maintain the AI orchestration platform across AWS, GCP, Azure, Kubernetes, and on-prem environments
• Configure Docker/Kubernetes infrastructure, Helm deployments, and Terraform
• Integrate enterprise authentication and security solutions (SAML, OIDC, SSO/OAuth, API gateways)
• Integrate LLM providers such as Amazon Bedrock, Azure OpenAI, Ollama, and internal enterprise models
• Configure AI agent workflows, MCP integrations, CLI tools, and IDE extensions
• Integrate semantic code indexing and AI context pipelines into CI/CD workflows
• Work closely with Enterprise Architects, Security teams, Principal Engineers, and DevEx teams
• Translate customer requirements and technical challenges into improvements for Product and R&D teams
• Help customers establish best practices for AI agent governance and developer productivity
  
  

Requirements

• 4+ years of professional software engineering experience
• Strong development skills in at least one of: Kotlin, Java, Go, Python, or TypeScript
• Strong hands-on experience with Docker and Kubernetes
• Experience with Helm and Terraform
• Experience with AWS, GCP, Azure, OpenShift, or private cloud environments
• Understanding of networking and enterprise security: TLS/mTLS, reverse proxies, API gateways
• Experience with enterprise authentication: SAML, OIDC, SSO
• Strong understanding of Git, GitHub/GitLab, CI/CD, IDEs, and CLI workflows
• Practical experience with LLM APIs, AI infrastructure, AI proxies, MCP/agent protocols, or local LLM runtimes
• Willingness and ability to travel abroad for business trips
  
  

Nice to have

• Experience as a Forward Deployed Engineer, Solutions Architect, DevEx Consultant, or similar customer-facing technical role
• Experience building IDE plugins or developer tools
• Knowledge of RAG, vector databases, or semantic code search
• Experience with enterprise AI platforms
  
  

We offer

• Opportunity to work on bleeding-edge projects
• Work with a highly motivated and dedicated team
• Competitive salary
• Flexible schedule
• Benefits package - medical insurance, sports
• Corporate social events
• Professional development opportunities
• Well-equipped office
  
  

About Us

Grid Dynamics (NASDAQ: GDYN) is a leading provider of technology consulting, platform and product engineering, AI, and advanced analytics services. Fusing technical vision with business acumen, we solve the most pressing technical challenges and enable positive business outcomes for enterprise companies undergoing business transformation. A key differentiator for Grid Dynamics is our 8 years of experience and leadership in enterprise AI, supported by profound expertise and ongoing investment in data, analytics, cloud & DevOps, application modernization and customer experience. Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the Americas, Europe, and India.