CGI is a leading IT and business process services firm seeking a Senior Software Engineer - GenAI Context Engineer to join their Hyderabad team. The role involves building enterprise AI search and knowledge platforms with a focus on GenAI technologies.

Company: CGI

Role: Senior software Engineer - GenAI Context Engineer

Location: India, Andhra Pradesh, Hyderabad

Experience:

6+ 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

Key Skills:

knowledge graphs
ontology modeling
AI observability
enterprise governance frameworks
responsible AI
groundedness evaluation
enterprise compliance requirements for GenAI systems
Retrieval-Augmented Generation (RAG)
semantic search
embeddings
vector databases
enterprise knowledge systems
Python
API-based integrations
Azure OpenAI
OpenAI
Azure AI Search
LangChain
Semantic Kernel
Elasticsearch
OpenSearch
vector databases and embedding frameworks
ingestion pipelines
metadata frameworks
chunking strategies
contextual retrieval systems
enterprise data governance
access control
lineage
permission-aware retrieval
SharePoint
Confluence
Jira
document repositories
enterprise APIs
Azure
AWS
GCP
containerized environments
CrewAI
LangGraph
LlamaIndex

Role Focus:

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

Additional responsibilities:

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

Other:

Full-time employment
Hybrid work mode with 3 days work from office
Competitive compensation package with opportunities for growth and professional development
Benefits start from first day of employment including paid time-off program, profit participation, and stock purchase plans
Strong analytical, troubleshooting, and problem-solving skills required
Excellent communication and collaboration skills with ability to work across engineering, architecture, governance, and business teams
Life at CGI emphasizes ownership, teamwork, respect, and belonging
Employees are called members or partners to reflect ownership culture
Access to global capabilities and expansive industry and technology expertise
Supportive leadership focused on health, well-being, and career growth

Senior software Engineer - GenAI Context Engineer

Skills Required

Description

Experience:

Key Skills:

Role Focus:

Additional responsibilities:

Other:

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