Job Title: GEN AI Solution Architect (AI/ML Ops) Location: Irving, TX /Chicago/Cape Girardeau Experience Required - 13+ Mandatory skills • 13+ years of experience in the AI/ML and MLOps. • Proven track record of leading AI/ML projects and teams. • Proficient programming skills in Python. • Advanced critical thinking and creative problem-solving skills. • Excellent communication and writing skills Key Skills • Applied experience in cloud development - Azure, AWS, or GCP Cloud. Databricks experience is good to have. • Designing and Building Gen AI Applications using RAG, Agents, Agentic AI and Monitoring Tools (Lang Smith) • Building multi-step reasoning agents using frameworks like LangChain, Langraph, AutoGen, or CrewAI. • Experience with LLMs (e.g., Open AI, GPT, LLaMA, Claude) and fine-tuning techniques. • Applied experience with Docker and Containerization. • Applied experience working with Vector Databases. • Python FAST API framework for solution deployment & SQL skills. • Azure app services, Azure MySQL, Azure container service experience • Exposure and understanding of Terraform and ARM templates. • Applied experience with Git, GitHub, or GitLab and CI/CD Responsibilities: - • Architect Gen AI solution integration to validate, monitor, and operationalize with existing or 3rd party applications (using LangChain/LangGraph/LangSmith components). • Build pipelines to execute multiple concurrent integration of Gen AI solution deployed via API endpoints. • Lead teams of aligned AI engineers for solution integration operationalization and execution • Support the team in infrastructure and productionization for AI/GenAI integration and operating deployed models on Azure cloud. • Communicate functional outlines, timelines, and risk factors in simple but effective terms to leadership. • Mentor teammates on their growth path with the view of skillsets needed by the program and contribute to the pipeline of external talent by being active in the community.