GenAI Engineer

Job Title: GenAI Engineer Location: 100% Remote Roles And Responsibilities Enhance AI policies using H2O Driverless AI (AutoML) to generate 1,200+ compliance features, aligning with OCC guidelines (e.g., Treasury Directive 85-10) Conduct AI/ML risk assessments, security evaluations, and regulatory compliance reviews. Engage with OCC stakeholders to ensure AI-driven processes align with financial oversight objectives. Implement AI workflows with Azure OpenAI, Databricks, and Kubernetes, integrating with legacy systems (Java/.NET) via MLOps pipelines (Git, Jenkins) Optimize and fine-tune generative AI models for financial regulatory applications. Monitor and resolve AI issues with Dynatrace/AppDynamics, targeting <500ms latency and 99.95% uptime across 135+ applications. Evaluate existing AI tools, decommission outdated models, and recommend new AI solutions. Ensure secure, compliant, and efficient AI deployments that align with OCC's financial regulations. Fine-tune LLMs (e.g., GPT-4o, LLaMA) for financial risk analysis and fraud detection, achieving > 80% response relevancy via Azure ML and RLHF. Build and optimize Text-to-Text and Image-to-Text models with H2O Document AI (OCR/NLP) and TensorFlow, processing 5,000+ regulatory documents. Continuously evaluate and enhance AI-generated responses for accuracy, efficiency, and compliance. Develop and maintain technical documentation, AI operational handbooks, and best practices. Conduct training sessions for OCC staff on AI capabilities, security, and optimization techniques Provide regular updates on AI system performance, security risks, and compliance changes. Collaborate with OCC's data scientists, engineers, and compliance officers to refine AI usage Preferred Qualifications: • 7+ years in AI/ML, ideally with federal financial applications (e.g., OCC, Treasury). • Certifications: Microsoft Certified: Azure AI Engineer Associate or PMP. Familiarity with tools: • Expert in Python, TensorFlow, PyTorch, and prompt engineering tools (LangChain, Hugging Face). • Proficient with Azure OpenAI, Microsoft ML Studio, Databricks, Kubernetes, and Azure AI Services. • Strong in SQL, Git, and MLflow for data handling and pipeline management. Required Skills/Experience: • 5+ years in AI/ML development; experience in GPT-4, LangChain • Strong programming skills in Python and experience with AI/ML frameworks such as TensorFlow, PyTorch, and LangChain, Hugging Face, OpenAI API • TensorFlow Developer Certificate • AWS Certified Machine Learning Specialty • Strong knowledge of prompt engineering, NLP, LLM fine-tuning, and model optimization techniques. Experience with multi-modal AI and integrating models via MLOps pipelines. Required Education: • Bachelor's or master's degree in computer science, Data Science, or related field • TensorFlow Developer Certificate and AWS Certified Machine Learning Specialty.