Lead AI Engineer - Generative AI & Agentic AI: Cogentiq

It's fun to work in a company where people truly BELIEVE in what they are doing! We're committed to bringing passion and customer focus to the business. Role Overview: We are looking for an accomplished Lead AI Engineer to design, build and productionize next-generation AI solutions across enterprise use cases. This is a highly hands-on role at the intersection of Generative AI, Agentic AI, software engineering and AI architecture. The ideal candidate brings strong engineering foundations and has successfully taken GenAI solutions beyond experimentation and PoCs into scalable, secure and production-grade enterprise systems. What You'll Do Architect, develop and productionize enterprise-scale Generative AI and AI/ML solutions. Design sophisticated LLM-powered applications using RAG, AI agents, tool/function calling, orchestration and multi-agent workflows. Build GenAI solutions leveraging frameworks such as LangGraph, LangChain, Semantic Kernel or equivalent. Design scalable AI services, backend applications and APIs using Python and modern engineering frameworks. Build solutions leveraging LLMs, embeddings, vector databases, knowledge graphs and semantic/knowledge layers. Integrate AI capabilities with Snowflake, enterprise data platforms, business applications, APIs and cloud ecosystems. Establish robust AI engineering practices covering LLM evaluation, observability, guardrails, security, latency, reliability and cost optimization. Design end-to-end AI/ML pipelines spanning experimentation, deployment, monitoring and continuous improvement. Evaluate emerging LLMs, agentic frameworks and AI technologies and translate them into practical enterprise solutions. Drive technical design and architecture decisions for AI platforms and products. Collaborate with product managers, data scientists, architects and business stakeholders to translate complex requirements into scalable AI solutions. Provide technical leadership, mentor engineers and establish strong engineering practices across the team. What We're Looking For 10+ years of overall experience in software engineering, AI/ML, data or related technology roles, with significant recent experience building AI/GenAI solutions. Strong hands-on expertise in Python with excellent software engineering and system-design fundamentals. Proven experience designing, building and deploying LLM/Generative AI applications in production, rather than only PoCs or experimentation. Deep hands-on understanding of RAG, prompt engineering, embeddings, vector search, LLM orchestration and Agentic AI. Experience building AI agents, tool/function-calling workflows and multi-agent systems. Hands-on experience with one or more LLM ecosystems such as OpenAI, Azure OpenAI, Anthropic Claude or Google Gemini. Strong understanding of REST APIs, microservices, distributed systems, databases and enterprise application architecture. Experience with Snowflake and modern enterprise data ecosystems.