EPRI · 5 hours ago
Lead Search and AI Engineer
Electric Power Research Institute (EPRI) is focused on advancing technology in energy solutions, and they are seeking a Lead Search and AI Engineer. The role involves designing, implementing, and supporting AI-driven document processing and search solutions utilizing various advanced technologies.
Electrical DistributionElectronicsNon Profit
Responsibilities
Architect & Deploy AI Solutions: Build AI-driven search and document intelligence systems using Azure AI Search, Knowledge Graphs, and RAG techniques
Query Orchestration: Develop strategies to route and structure user queries efficiently across multiple retrieval systems
RAG-Based Applications: Implement and fine-tune applications for intelligent knowledge retrieval from structured and unstructured documents
Containerized Deployments: Deploy and manage AI applications using Azure Kubernetes Service (AKS) for scalability
Vector Search Optimization: Enhance document retrieval through optimized embeddings and hybrid search techniques
Open-Source Integration: Utilize tools like Tesseract OCR, PyMuPDF, and Pillow for document processing
API Integration: Connect with Profile APIs, Product Metadata, and Downloads to enrich indexing and search capabilities
Compliance & Security: Ensure adherence to export control restrictions and secure document handling best practices
Monitoring & Optimization: Troubleshoot and optimize AI-based workflows for performance and reliability
Stakeholder Collaboration: Work closely with business and technical teams to refine AI-powered document solutions
Qualification
Required
Bachelors or Masters Degree in Computer Science or related areas, applicable professional certification with 7+ years of progressive experience providing solutions to complex program/system problems in a business environment
5+ years in AI/ML, cloud-based search, and document processing
Expertise in Query Orchestration for complex AI pipelines
Strong knowledge of RAG architectures for AI-powered search
Hands-on experience with Azure AI Search, Document Intelligence, and Cognitive Services
Proficiency in vector search, embeddings, and hybrid retrieval techniques
Experience with Kubernetes (AKS) and containerized deployments
Familiarity with Tesseract OCR, PyMuPDF, and Pillow
Strong Python development skills for AI pipelines
Preferred
Experience with hybrid cloud AI solutions (on-prem + cloud)
Familiarity with Azure OpenAI, LangChain, or AI Foundry
Deep knowledge of multi-index query orchestration
Expertise in Azure AI search semantic and vector profiling
Expertise in vector other databases such as (FAISS, Weaviate, Pinecone)
Background in NLP, document classification, and entity extraction
Understanding of export control compliance and secure document handling
Benefits
Medical
Dental
Vision
401k
STD/LTD
Paid family leave
Life and accident insurance
Paid time off (flexible vacation, sick leave, and holiday pay)
Company
EPRI
Electric Power Research Institute, or EPRI, conducts research on issues related to the electric power industry.
H1B Sponsorship
EPRI has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (24)
2024 (18)
2023 (19)
2022 (32)
2021 (21)
2020 (19)
Funding
Current Stage
Late StageTotal Funding
$27.43MKey Investors
Natural Resources CanadaU.S. Department of Energy Office of ElectricityUS Department of Energy
2025-01-23Grant· $0.45M
2024-12-03Grant· $2.88M
2024-09-12Grant· $8M
Leadership Team
Recent News
2025-12-15
2025-12-09
Company data provided by crunchbase