We are looking for hands on Forward Deployed Engineers (FDEs) to design, build, and deploy enterprise scale Agentic AI and data solutions. You will turn complex business problems into production grade systems, not slideware. FDEs work at the intersection of AI engineering, data engineering, platform architecture, and product development. You will partner closely with product, business, architecture, and engineering teams, and you will own solutions from first prototype through production. This role pairs strong software engineering fundamentals with deep, hands on experience in LangChain and LangGraph, modern AI architectures, enterprise data platforms, APIs, and cloud native technologies. This position is located in our Plano, Texas office with work performed at client site in Plano, Texas; however, a hybrid working model is acceptable. What You'll Do Build agentic AI solutions
. Design and build production grade AI agents and agentic workflows using LangChain and LangGraph. . Develop advanced orchestration patterns, including tool calling, state management, memory, human in the loop, and multi agent workflows. . Build RAG and knowledge driven AI solutions on structured and unstructured enterprise data. . Integrate AI applications with enterprise systems through MCP, REST APIs, event driven architectures, and enterprise data sources.
Engineer the data and platform foundation
. Design and develop scalable data pipelines and data products using Databricks, Snowflake, Spark, SQL, and Azure. . Build production services and APIs using Python, FastAPI, and modern software engineering practices. . Deploy and operate containerized applications using Docker, Kubernetes/AKS, and CI/CD. . Integrate enterprise identity and security using Microsoft Entra ID, OAuth/OIDC, and Azure API Management.
Run it reliably in production
. Implement LLM and agent evaluation, tracing, observability, reliability, and performance monitoring.
Prototype, partner, and scale
. Rapidly prototype emerging AI capabilities, then mature the successful ones into production grade solutions. . Partner with business and product teams to turn ambiguous requirements into well designed technical solutions. . Spot common patterns across use cases and contribute reusable components back to the core AI platform.
Required Qualifications Agentic AI
. Strong hands on experience with LangChain and LangGraph (required). . Demonstrated experience building AI agents and agentic workflows. . Solid understanding of LLMs, RAG, tool/function calling, structured outputs, agent state, memory, and orchestration. . Experience integrating agents with external tools, APIs, and enterprise systems. . Familiarity with MCP (Model Context Protocol) and emerging agent interoperability patterns. . Experience with AI evaluation, tracing, observability, and production monitoring.
Software & Platform Engineering
. Strong hands on development experience with Python. . Experience with FastAPI, REST APIs, microservices, and distributed systems. . Experience with Docker, Kubernetes/AKS, Git, and CI/CD. . Strong understanding of cloud native application architecture. . Experience with Microsoft Azure. . Familiarity with Entra ID, OAuth/OIDC, API Management, and OpenTelemetry.
Data Engineering
. Strong SQL and data engineering fundamentals. . Experience with Databricks and/or Snowflake. . Experience with Apache Spark and scalable data pipelines. . Understanding of data lake and lakehouse architectures. . Experience processing both structured and unstructured data.
Preferred Qualifications
. Experience with Azure AI/OpenAI, LangSmith, Arize, vector/semantic search, and multi agent architectures. . Experience developing reusable enterprise AI platform capabilities. . Experience taking AI/ML solutions from prototype through production. . Experience working directly with product teams and business stakeholders. . Experience in telecommunications or other large scale enterprise environments.
Who Thrives in This Role
. Strong engineering depth: You solve complex problems through hands on design and development. . Technical breadth: You work comfortably across AI, data, APIs, cloud infrastructure, and the application layer. . Product mindset: You focus on solving the business problem, not just implementing the stated requirement. . Production mindset: You build for scalability, security, reliability, observability, and maintainability. . Comfort with ambiguity: You take loosely defined problems and turn them into working solutions. . Bias for execution: You prototype quickly, validate assumptions, and move successful ideas toward production. . Strong communication: You collaborate effectively with engineers, architects, product teams, and business stakeholders.
Other Information:
CGI is required by law in some jurisdictions to include a reasonable estimate of the compensation range for this role. The determination of this range includes various factors not limited to skill set, level, experience, relevant training, and licensure and certifications. To support the ability to reward for merit based performance, CGI typically does not hire individuals at or near the top of the range for their role. Compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range for this role in the U.S. is $101,000.00 $176,700.00. CGI's benefits are offered to eligible professionals on their first day of employment to include: . Competitive compensation . Comprehensive insurance options . Matching contributions through the 401(k) plan and the share purchase plan . Paid time off for vacation, holidays, and sick time . Paid parental leave .Learning opportunities and tuition assistance . Wellness and Well being programs
