senior software engineer - GenAI Value Engineer

At CGI, we’re a team of builders. We call our employees members because all who join CGI are building their own company - one that has grown to 72,000 professionals located in 40 countries. Founded in 1976, CGI is a leading IT and business process services firm committed to helping clients succeed. We have the global resources, expertise, stability and dedicated professionals needed to achieve. At CGI, we’re a team of builders. We call our employees members because all who join CGI are building their own company - one that has grown to 72,000 professionals located in 40 countries. Founded in 1976, CGI is a leading IT and business process services firm committed to helping clients succeed. We have the global resources, expertise, stability and dedicated professionals needed to achieve results for our clients - and for our members. Come grow with us. Learn more at www.cgi.com. This is a great opportunity to join a winning team. CGI offers a competitive compensation package with opportunities for growth and professional development. Benefits for full-time, permanent members start on the first day of employment and include a paid time-off program and profit participation and stock purchase plans. We wish to thank all applicants for their interest and effort in applying for this position, however, only candidates selected for interviews will be contacted. No unsolicited agency referrals please. Job Title: Position: SSE Experience: 6+ Years Category: Software Development/Engineering Job Location: Hyderabad Mode of Work: Hybrid (3 Days WFO) LRI code #LI-AD11 . Design, develop, and operationalize enterprise-grade Generative AI solutions aligned to the organization's GenAI platform strategy. . Build and implement AI-powered workflows including Retrieval-Augmented Generation (RAG), intelligent search, workflow automation, copilots, and agentic orchestration capabilities. . Develop reusable GenAI engineering patterns, APIs, prompt frameworks, and orchestration components to accelerate onboarding of enterprise use cases. . Integrate GenAI capabilities with enterprise systems including ServiceNow, Jira, SharePoint, Confluence, APIs, and operational platforms. . Build and optimize semantic retrieval pipelines, vector search implementations, contextual grounding strategies, and knowledge orchestration workflows. . Design and implement prompt engineering and multi-step reasoning workflows using modern GenAI orchestration frameworks such as Semantic Kernel, LangGraph, or equivalent technologies. . Collaborate with architecture, governance, security, and platform teams to ensure GenAI solutions align with enterprise standards for observability, security, compliance, and responsible AI. . Support implementation of human-in-the-loop workflows, evaluation pipelines, governance controls, and operational monitoring capabilities. . Contribute to AI evaluation and testing activities including groundedness validation, hallucination reduction, regression testing, and quality benchmarking. . Develop scalable APIs, microservices, and integration layers supporting enterprise AI adoption across multiple business domains. . Support deployment, monitoring, optimization, and operationalization of GenAI services within cloud and hybrid enterprise environments. . Participate in continuous improvement initiatives focused on AI performance, cost optimization, operational efficiency, and platform scalability. . Stay current with emerging GenAI technologies, orchestration frameworks, AI engineering patterns, and industry best practices. Roles and Responsibilities: . Design and implement enterprise Retrieval-Augmented Generation (RAG) architectures for GenAI platforms and applications. . Build and optimize semantic retrieval pipelines, vector search implementations, and contextual grounding frameworks.