GENAI Alignment Engineer

Company Profile: 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: GENAI Alignment Engineer Position: Senior Software Engineer Experience:8+ yrs Main location: Hyderabad Employment Type: Full Time Required Qualifications: 8+ years of experience in knowledge engineering, enterprise search, data engineering, AI engineering, or platform engineering roles. Experience building enterprise AI search or knowledge platforms in banking, financial services, healthcare, or other regulated industries. Familiarity with knowledge graphs, ontology modeling, AI observability, and enterprise governance frameworks. Understanding of responsible AI, groundedness evaluation, and enterprise compliance requirements for GenAI systems. Hands on experience with Retrieval Augmented Generation (RAG), semantic search, embeddings, vector databases, and enterprise knowledge systems. Strong programming skills in Python and experience with API based integrations. Experience with GenAI and retrieval technologies such as: Azure OpenAI / OpenAI Azure AI Search LangChain / Semantic Kernel Elasticsearch / OpenSearch Vector databases and embedding frameworks Experience designing ingestion pipelines, metadata frameworks, chunking strategies, and contextual retrieval systems. Strong understanding of enterprise data governance, access control, lineage, and permission aware retrieval. Experience integrating enterprise content systems including SharePoint, Confluence, Jira, document repositories, and enterprise APIs. Familiarity with cloud platforms such as Azure, AWS, or GCP and containerized environments. Strong analytical, troubleshooting, and problem solving skills. Excellent communication and collaboration skills with the ability to work across engineering, architecture, governance, and business teams.