Factspan · 4 days ago
AI Solution Lead
United States
Full-time
Remote
Senior Level, Lead/Staff
8+ years expFactspan is seeking an AI Solution Lead Engineer specializing in Generative AI and LLM Applications to design, architect, and build production-grade solutions for enterprise clients. The role involves hands-on engineering, solution architecture, and technical leadership, focusing on developing Conversational Analytics products within the Snowflake ecosystem.
AnalyticsBig DataManagement Consulting
Responsibilities
Lead architecture and development of the initial Conversational Analytics / GenBI product on Snowflake, leveraging Snowflake Cortex AI, semantic models, and AI managed services
Design end-to-end GenAI architectures including RAG, Agentic RAG, GraphRAG, Agents, and Multi-Agent Systems for enterprise use cases
Define reference architectures, reusable accelerators, and solution blueprints to standardize GenAI delivery
Build production-grade Python applications with strong emphasis on code quality, testing, and maintainability
Implement microservices architectures using modern frameworks and design patterns such as FastAPI and Redis
Lead development of LLM applications using Agents, MCP, Agentic RAG, GraphRAG, and multi-agent orchestration patterns
Define and implement LLM evaluation frameworks, including RAG evaluation, prompt evaluation, latency, cost, and quality metrics
Apply prompt management best practices and lifecycle governance to improve accuracy and reliability
Oversee integration with enterprise cloud and AI platforms including OpenAI, Anthropic Claude, Azure OpenAI, AWS Bedrock, Google Vertex AI, and Snowflake Cortex AI
Design and manage containerized deployments using Docker and Kubernetes
Apply LLMOps practices including monitoring, observability, prompt/version management, and cost optimization for production systems
Lead technical discovery sessions and provide hands-on guidance to engineering teams
Collaborate with cross-functional product, data, and platform teams in a client-facing environment
Mentor engineers and contribute to knowledge sharing and architectural best practices
Drive continuous improvement in system scalability, reliability, and maintainability
Qualification
Required
8–15 years of experience in AI/ML or software engineering, with 2+ years in Generative AI and LLM applications
Expert-level Python programming skills with proven production-grade code quality
Strong experience with microservices architectures, modern design patterns, FastAPI, and Redis
Extensive hands-on experience building GenAI applications, including Agents, MCP ecosystems, RAG, Agentic RAG, and GraphRAG
Deep practical knowledge of LangGraph, LangChain, and LLM orchestration frameworks
Proven experience integrating OpenAI, Anthropic Claude, Azure OpenAI, AWS Bedrock, Google Vertex AI, and Snowflake Cortex AI
Strong experience deploying GenAI solutions on Azure, AWS, GCP, and Snowflake platforms
Hands-on experience with vector databases such as Pinecone, Weaviate, Qdrant, or Chroma
Solid understanding of Docker and Kubernetes for containerization and orchestration
Practical experience with LLM evaluation, RAG evaluation, prompt management, and LLMOps practices
Demonstrated ability to deliver scalable, production-ready GenAI systems
Strong leadership skills with the ability to guide teams and engage directly with clients
Preferred
Background in traditional machine learning, including feature engineering, model training, and evaluation
Experience with advanced multi-agent systems, Agent-to-Agent (A2A) communication, and MCP-based ecosystems
Hands-on experience with LLMOps and observability platforms such as LangSmith, Opik, or Azure AI Foundry
Experience with knowledge graphs, hybrid symbolic–LLM systems, or fine-tuning techniques
Prior consulting or enterprise client-facing experience
Company
Factspan
Factspan is a pure play analytics company.
201-500 employees
H1B Sponsorship
Factspan 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 (9)
2024 (10)
2023 (16)
2022 (30)
2021 (16)
2020 (16)
Funding
Current Stage
Growth StageLeadership Team
Anchal Bansal
Human Resources Business Partner
Mayukh Basu
Senior Director, Partnership Enablement
Recent News
2022-12-21
Company data provided by crunchbase