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)
. 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.
. 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.
. Develop ingestion pipelines for enterprise knowledge sources including SharePoint, Confluence, Jira, APIs, databases, and document repositories.
. Define metadata, taxonomy, ontology, chunking, and embedding strategies to improve retrieval relevance and AI response quality.
. Implement permission\-aware retrieval and secure knowledge access aligned with enterprise governance and compliance requirements.
. Design and optimize hybrid search architectures combining vector search, keyword search, and knowledge graph capabilities.
. Collaborate with Value Engineers, architects, and business stakeholders to translate enterprise knowledge into scalable AI\-ready knowledge structures.
. Improve groundedness, citation accuracy, retrieval precision, and hallucination reduction across GenAI solutions.
. Maintain knowledge lineage, auditability, and contextual traceability for enterprise AI workflows.
. Support AI evaluation, observability, and continuous improvement initiatives for retrieval quality and search performance.
. Work closely with governance, security, and compliance teams to ensure responsible and secure enterprise AI knowledge access.
. Contribute to reusable enterprise knowledge engineering patterns and platform accelerators.
Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, you’ll reach your full potential because…
You are invited to be an owner from day 1 as we work together to bring our Dream to life. That’s why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company’s strategy and direction.
Your work creates value. You’ll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise.
You’ll shape your career by joining a company built to grow and last. You’ll be supported by leaders who care about your health and well\-being and provide you with opportunities to deepen your skills and broaden your horizons.
Come join our team—one of the largest IT and business consulting services firms in the world.
Tech Lead, Business Systems Analysis
Fiserv · MH, IN
Senior Project Manager
Itvan Tech · Remote
VLSI ENGINEER L2
Wipro · KA, IN