GenAI Context Engineer

CGI is looking to hire a Context Engineer who will be responsible for designing, building, and optimizing the enterprise knowledge and retrieval foundation that powers Generative AI applications. This role focuses on enabling high quality, grounded, and context aware AI experiences through Retrieval Augmented Generation (RAG), semantic search, metadata engineering, and enterprise knowledge orchestration.

The Context Engineer ensures AI systems retrieve the right information, from the right sources, at the right time - securely, accurately, and in alignment with enterprise governance standards.

This position will be performed onsite five days a week at our client site in Strongsville, OH, Dallas, TX, or Pittsburgh, PA.

Future duties 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.

. 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.

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.

. 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:

o Azure OpenAI / OpenAI

o Azure AI Search

o LangChain / Semantic Kernel

o Elasticsearch / OpenSearch

o 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., + LangChain

• LangGraph

• LlamaIndex

• Microsoft Azure AI Solution

• OpenAI

• Python

• Retrieval-Augmented Gen.(RAG)

CGI is required by law in some jurisdictions to include a reasonable estimate of the compensation range for this role. The determination of this range includes various factors not limited to skill set, level, experience, relevant training, and licensure and certifications. To support the ability to reward for merit based performance, CGI typically does not hire individuals at or near the top of the range for their role. Compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range for this role in the U.S. is $89,600.00 $156,700.00.

CGI's benefits are offered to eligible professionals on their first day of employment to include:

. Competitive compensation

. Comprehensive insurance options

. Matching contributions through the 401(k) plan and the share purchase plan

. Paid time off for vacation, holidays, and sick time

. Paid parental leave

.Learning opportunities and tuition assistance

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.