Note: The job is a remote job and is open to candidates in USA. Electric Power Research Institute (EPRI) is seeking a Lead AI Engineer to design, implement, and support AI-driven document processing and search solutions. The role involves architecting AI systems, optimizing document retrieval, and collaborating with stakeholders to enhance AI-powered document solutions.
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
Skills
- 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
- 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 Overview
Electric Power Research Institute, or EPRI, conducts research on issues related to the electric power industry. It was founded in 1972, and is headquartered in Palo Alto, California, USA, with a workforce of 1001-5000 employees. Its website is http://www.epri.com.Company H1B Sponsorship
EPRI has a track record of offering H1B sponsorships, with 8 in 2026, 24 in 2025, 18 in 2024, 19 in 2023, 32 in 2022, 21 in 2021, 19 in 2020. Please note that this does not guarantee sponsorship for this specific role.