Forward Deployed Engineer (Enterprise AI & Platform Integration)

Essential functions

• Architect, deploy, and maintain the AI orchestration platform across complex client environments (AWS, GCP, Azure, Kubernetes, On-Premises, and Air-Gapped networks).

• Configure enterprise SSO/OAuth (SAML, OIDC), manage identity providers, set up API proxies, and enforce enterprise compliance policies (SOC2, HIPAA, ISO) for AI traffic.

• Integrate external and internal LLM providers (Amazon Bedrock, Azure OpenAI, Ollama, custom enterprise endpoints) and configure platform developer tools, APIs and client-side integrations for end-users.

• Integrate large-scale codebase context and data retrieval pipelines directly into client CI/CD systems to feed real-time organizational knowledge to AI agents.

• Act as the technical voice of the client back to core R&D and Product teams—translating edge cases, enterprise security demands and custom integrations into core product features.

• Partner with client DevEx leaders and Tech Leads to define best practices around AI agent governance, token usage monitoring and developer productivity metrics.

Qualifications

• 4+ years of professional software engineering experience writing production code in Python, Go, Java, or TypeScript.

• Strong hands-on background in Docker, Kubernetes, Helm, Terraform and managing infrastructure across cloud providers (AWS/GCP/Azure) or private clouds (OpenShift).

• Solid grasp of networking fundamentals (TLS/mTLS, reverse proxies, API gateways), enterprise authentication (SAML, OIDC), and air-gapped security requirements.

• Deep understanding of modern developer environments, VCS (Git, GitHub, GitLab), CI/CD runners (GitHub Actions, GitLab CI), and CLI workflows.

• Hands-on experience working with LLM APIs, AI proxies, agent protocols (e.g., Model Context Protocol / MCP), or local LLM runtimes.

• Proven ability to lead high-stakes technical discussions with Chief Information Security Officers (CISOs), Enterprise Architects and Principal Engineers.

Would be a plus

• Experience developing internal developer tools, CLI utilities or developer platform integrations.

• Previous experience as a Forward Deployed Engineer, Solutions Architect or DevEx Consultant at an enterprise SaaS, AI or data infrastructure company.

• Practical knowledge of vector databases, RAG pipelines or enterprise search at scale.

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.