AI Engineer

• Leverage artificial intelligence technologies, including custom GPT and virtual assistants, to modernize and streamline Department processes
• Stay current with Department AI initiatives including StateChat, Northstar, Copilot, ORION, and AIRE
• Research and evaluate new technologies for innovation and process enhancement
• Define technical requirements, prioritize use cases, and deploy solutions across bureaus and departments
• Apply evolving Microsoft 365 and SharePoint capabilities and best practices
• Ensure development and deployment comply with security, privacy, and responsible AI principles
• Manage the health, configuration, security, and modernization of SharePoint farms, sites, and service applications
• Serve as Tier 3 technical lead for troubleshooting, development, and SharePoint migration projects
• Design, test, and deploy SharePoint infrastructure solutions
• Support information flow and documentation operations
• Develop and implement SharePoint governance plans, site provisioning processes, and data retention policies
• Introduce features using Power Apps and Power Automate workflows
• Execute the full lifecycle development of customizable SharePoint agents, including research, design, testing, deployment, and continuous improvement
• Define chatbot scope, target users, and success metrics
• Collaborate with stakeholders to determine requirements and priorities
• Organize SharePoint content sources for reliable AI responses
• Customize agent tone, response style, and conversation parameters
• Train agents with sample queries and conduct user acceptance testing
• Establish governance protocols for agent management, content updates, and responsible AI practices
• Integrate authentication and permissions controls
• Create user documentation, quick guides, FAQs, and training materials
• Conduct user training sessions
• Analyze feedback and usage data to refine agent performance and deploy updates
• Perform other duties as assigned

SharePoint AI Developer

• Build and deploy agentic AI systems capable of autonomous decision-making, tool use, and multi-step task execution
• Implement end-to-end AI/ML and GenAI projects from business needs and data preparation through model development, deployment, and monitoring
• Develop LLM-based features including retrieval-augmented generation with citations, text summarization, and embedding pipelines
• Design and optimize prompts for LLMs
• Use LLMs such as Claude, GPT, Gemini, and Llama through APIs or cloud AI platforms
• Evaluate and test GenAI features through test sets, grounding and citation checks, LLM-as-judge scoring, and production quality monitoring
• Design, develop, and optimize machine learning models using Python
• Deploy and manage solutions in distributed and cloud environments
• Collaborate with cross-functional teams to guide business decisions

• Lead the development and implementation of innovative data-driven solutions to optimize business performance
• Guide teams in leveraging advanced analytics techniques to provide strategic insights for clients
• Utilize data architecture development and data pipeline management to enhance data quality and accessibility
• Build and maintain stakeholder relationships to identify and address data challenges in banking and capital markets
• Develop and oversee deployment of scalable data visualization and analytics solutions
• Promote continuous process improvement and embrace change to enhance competitive advantage
• Validate outcomes with clients and act on feedback to refine strategies and solutions
• Direct teams through complex and uncertain situations, demonstrating composure and sound judgment
• Initiate open and honest coaching conversations to develop high-performing, diverse, and inclusive teams
• Apply systems thinking to identify underlying problems and opportunities within financial crimes and sanctions contexts

AI Engineer jobs in District of Columbia

SharePoint AI Developer

AI Engineer

Senior Manager – AML and Sanctions, AI Engineer