GenAI Context Engineer

About the role

The Context Engineer will design, build, and optimize 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.

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.

Requirements

• 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: 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.

Qualifications

To be successful in this role, candidates should have:

• 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: 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.

Skills

• Knowledge Engineering
• Enterprise Search
• Data Engineering
• AI Engineering
• Platform Engineering
• Retrieval Augmented Generation (RAG)
• Semantic Search
• Embeddings
• Vector Databases
• Enterprise Knowledge Systems
• Python Programming
• API Based Integrations
• GenAI Technologies
• Knowledge Graphs
• Ontology Modeling
• AI Observability
• Enterprise Governance Frameworks
• Responsible AI
• Groundedness Evaluation
• Enterprise Compliance Requirements
• Permission Aware Retrieval
• Enterprise Data Governance
• Access Control
• Lineage
• Containerized Environments
• Cloud Platforms (Azure, AWS, GCP)
• Analytical Skills
• Problem-Solving Skills
• Communication Skills
• Collaboration Skills

Benefits

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
Wellness and Well-being programs

Pay

$89,600.00 - $156,700.00

Schedule

Onsite five days a week at our client site in Strongsville, OH, Dallas, TX, or Pittsburgh, PA.