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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior AI Software Engineer - **Company:** Cgi Inc. - **Location:** Warwick, RI, United States - **Experience:** Expert - **Salary:** $88,200.0 - **Contract:** Permanent contract - **Skills:** LangGraph Framework, JavaScript (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Data Analysis, Apache HTTP Server, Applications Architecture, Microsoft Azure, Big Data, Cloud Computing, Databases, Information Engineering, Distributed Systems, Github, Python (Programming Language), PostgreSQL, MongoDB, Multiprocessing, Scrum Methodology, OpenAI, Next.js, Software Engineering, Software Systems, Data Streaming, Systems Integration, Web Application Frameworks, Workflow Management Systems, Working Model 2D, Multithreading, ReactJS, Delivery Pipeline, Snowflake, Apache Spark, Software Troubleshooting, Generative AI, Agentic-AI, Fastapi, Data Lakes, LangSmith, Real Time Data, Apache Kafka, Graphql, Machine Learning Operations, Front End Software Development, Restful APIs, Model Context Protocol, Data Pipelines, Docker, Databricks, Web Api - **Published:** October 21, 2026 - **Apply:** https://www.dice.com/job-detail/9a694e87-6e68-4091-9d43-7aea9bfc4da8 ## About the Role Demonstrated expertise in Python and at least one major Python web framework. . Hands on experience developing RESTful APIs using FastAPI and GraphQL APIs using Strawberry. . Strong understanding of web API architecture, design principles, security, and integration patterns. . Experience developing real time data pipelines using streaming platforms such as Apache Kafka or Azure Event Hubs. . Proficiency designing, integrating, and managing databases such as PostgreSQL and MongoDB. . Experience with big data processing frameworks, including Apache Spark and Delta Lake. . Hands on experience with Snowflake, including working with Apache Iceberg tables for Lakehouse and data engineering workloads. . Hands on experience using Databricks for data engineering, analytics, and machine learning workflows. . Experience integrating large language model APIs, such as OpenAI, Llama, or other leading generative AI models. . Hands on experience building agentic AI applications using LangChain and LangGraph, or similar agent frameworks and orchestration tools. . Experience with Model Context Protocol (MCP) or comparable tool calling and agent integration standards, including building or consuming MCP servers. . Strong understanding of cloud computing, scalability, and solution architecture, with an emphasis on Microsoft Azure. . Experience deploying and managing applications using Docker and Kubernetes. . Experience creating and managing CI/CD pipelines using Azure DevOps, GitHub Actions, or similar tools. . Proven experience designing and building mid sized applications that support thousands of daily users. . Experience developing high concurrency applications using multiprocessing, multithreading, actor models, or similar approaches. . Strong problem solving, analytical, communication, and collaboration skills. Preferred Qualifications . Experience with agent evaluation, observability, and guardrails (e.g., LangSmith or similar tooling), as well as retrieval augmented generation (RAG) and vector databases. . Full stack software development experience. . Familiarity with JavaScript, React, Next.js, or related front end technologies. . Experience applying AI and software engineering solutions within the telecommunications industry or another relevant domain. . Experience contributing to technical standards or engineering best practices. ## Description CGI is growing rapidly, and we are seeking a Senior AI Software Engineer to join our Texas Business Unit. This is an opportunity to work with a close knit local team while leveraging CGI's global resources, diverse industry expertise, and broad technology capabilities. You will have the opportunity to work across industries, technologies, and geographies while helping design and deliver innovative AI enabled solutions. At CGI, your growth is guided by your goals. If you are looking for an inclusive environment where you are empowered to build your career and make an impact, we would like to hear from you. This position can be located at any CGI office in the U.S, preferred locations are Dallas, Texas and Atlanta, Georgia. A hybrid working model is acceptable. Your Future Duties and Responsibilities As a Senior AI Software Engineer, you will: . Partner with technical leads and product owners to understand business and technical requirements. . Participate in story refinement, backlog grooming, and sprint planning. . Contribute to application architecture, system design, and implementation strategies. . Design, develop, test, deploy, and maintain AI enabled software solutions. . Build scalable APIs, data pipelines, integrations, and distributed applications. . Build and integrate MCP servers and tool interfaces that let AI agents securely access enterprise data and services. . Design and manage data Lakehouse solutions using open table formats such as Apache Iceberg on Snowflake. . Troubleshoot complex technical issues and provide effective, sustainable solutions. . Establish and apply software engineering standards, patterns, and best practices. . Collaborate with engineers, architects, data professionals, and stakeholders across CGI. . Contribute to continuous improvement across development, deployment, and operational processes.