Lead Analyst - Solution Architect AI

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: Gen AI Position: LA Experience: 6 Years Category: Software Development/Engineering Job Location: Hyderabad Mode of Work: Hybrid (3 Days WFO) Enterprise GenAI Architecture . Define and govern the enterprise GenAI platform architecture. . Establish architecture standards, design patterns, and reusable frameworks for enterprise AI adoption. . Lead solution design for RAG, Document Intelligence, Agentic AI, Evaluation, Observability, and Governance capabilities. . Define reference architectures and integration patterns for onboarding GenAI use cases. GenAIOps Platform Leadership . Drive the design and implementation of centralized GenAIOps capabilities including: o RAG & Retrieval Services o AgentOps o ModelOps / LLMOps o Evaluation Pipelines o Observability & Monitoring o AI Governance & Controls . Establish reusable engineering patterns and shared platform services. Architecture Governance . Lead architecture reviews and technical governance processes. . Ensure alignment with enterprise security, compliance, risk, and regulatory requirements. . Define standards for responsible AI, auditability, traceability, and human in the loop controls. . Participate in governance forums and stakeholder reviews. Cloud & Integration Strategy . Define cloud architecture and deployment strategies across Azure, AWS, or hybrid environments. . Establish enterprise integration patterns for APIs, data platforms, document repositories, workflow systems, and identity providers. . Lead architecture decisions around scalability, resiliency, security, and performance. Engineering Leadership .