Forward Deployment Engineer (AI & Cloud Systems)

About the Company

Resources Global Professionals (RGP), listed on Nasdaq as RGP, is a global professional services firm with 30 years of experience supporting major organizations through change and growth. The company delivers three connected services: On-Demand Talent, Consulting, and Outsourced Services, helping leaders in finance and the C-suite address urgent business needs across digital transformation, data, cloud, and global scaling.

RGP has been named by Forbes as one of the World’s Best Management Consulting Firms and by U.S. News as a Best Company to Work For for four consecutive years. Its people-centric culture continues to support innovation across industries around the world.

Role Summary

As a Forward Deployment Engineer, you will work where software engineering, cloud architecture, and artificial intelligence meet. Your focus will be on connecting the company’s core AI products with real-world client environments. This is a technically demanding, high-impact position that calls for a digital-first approach to deploying autonomous agents and AI innovation labs across varied enterprise settings.

Core Responsibilities

• Build and roll out production-grade AI solutions using Anthropic Claude and embed them into existing enterprise workflows.
• Develop full-stack connectors, APIs, and middleware with Python for AI/ML logic and ASP.NET Core for enterprise backend services.
• Design and oversee deployments across Azure Foundry, Google Cloud Platform, and AWS while maintaining high availability and SOC2/SOX alignment.
• Partner closely with client stakeholders to assess technical requirements, shape implementation roadmaps, and lead hands-on AI agent deployment work.
• Maintain strong technical governance across deployments, including cybersecurity controls, identity management through Okta, and GRC standards.

Candidate Profile

The ideal candidate should hold a bachelor’s degree from an accredited university and bring 5+ years of professional experience in software engineering, DevOps, or solutions architecture.

• Advanced Python skills, including experience with FastAPI, Flask, or LangChain.
• Strong command of ASP.NET and C# for enterprise application development.
• Practical experience with Azure, especially Foundry or AI Services, and with GCP tools such as Vertex AI or App Engine.
• Prior work building and scaling Claude-powered agents and large language model solutions.
• Familiarity with Fabric Data Agents or comparable data orchestration platforms.
• Working knowledge of CI/CD workflows, Docker, and Kubernetes.
• Good understanding of infrastructure security, identity management, and compliance frameworks such as SOC2 and SOX.
• Ability to think strategically like an architect while still being comfortable writing code and handling implementation details.
• Comfort working with the shift from legacy systems to autonomous, AI-driven environments.
• Strong business-level English communication skills, both written and spoken.

Eligibility

Any graduate can apply, provided they meet the technical and experience expectations for the role.

Additional Information

No stipend or salary amount was specified in the source. The number of openings was also not mentioned.