Job at Commodity Futures Trading Commission
IT Specialist (AI Architect)
- Employer
- Commodity Futures Trading Commission (U.S. Federal Government)
- Location
- Washington, District of Columbia
- Workplace
- Not supplied
- Employment
- full-time
- Department
- Commodity Futures Trading Commission
- Team
- Other Agencies and Independent Organizations
- Salary
- $152,377 to $264,489 per year, as the employer lists it
- Published
- First listed on USASI
This posting comes from USAJOBS.gov, the U.S. federal government’s official employment site. The hiring agency is Commodity Futures Trading Commission. USASI checks USAJOBS and removes this page once the announcement closes. The description below is the agency’s text as published; USASI does not edit it, does not recruit, and does not take applications. How jobs are collected.
Job description
The Division of Administration (DA or Division) directs the innovative internal management of the Commodity Futures Trading Commission's (CFTC or Commission) business, human resources, financial, technological, security, and strategic operational resources. The Division's role is to effectively and efficiently ensure the fulfillment of the Commission's mission through continued success in continuity of operations.
Duties
As the Artificial Intelligence (AI) Architect, you will design, build, and sustain secure, scalable, and compliant AI capabilities using Microsoft technologies as the primary platform (e.g., Azure AI Foundry and Copilot Studio), with the integration of other approved cloud services (e.g., AWS Bedrock) when mission needs require. At the full performance level you will: Design secure, scalable enterprise AI architectures and solutions using approved cloud platforms; Develop and deploy AI agents, including orchestration workflows, tool-enabled agents, and integration with enterprise APIs; Implement RAG solutions, vector databases, and semantic search to support knowledge retrieval and advanced AI capabilities; Integrate AI services with enterprise applications, identity management, telemetry, monitoring, and logging; Design, implement, and govern Model Context Protocol (MCP) architectures and enterprise MCP servers to securely broker access data sources, databases, and core APIs to orchestrated AI agents; Maintain and optimize AI agents and workflows, monitoring performance, accuracy, cost, and operational reliability; Ensure AI governance, safety guardrails, documentation, and federal compliance, while advising leadership; Implement AI safety, content filtering, and guardrails.
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