About this opportunity
GTN Solutions lists this Senior AI Engineer opportunity in washington, District of Columbia. Review the employer’s description below for duties, qualifications and application requirements.
Job description
Senior AI Platform Engineer
Remote (Must be based in EST or CST) + quarterly travel to HQ
This position is responsible for turning emerging AI capabilities into dependable business solutions. You will build AI-powered applications and agents, connect them to enterprise data and systems, establish the infrastructure and controls required for production use, and continuously improve their reliability and effectiveness.
The role combines software engineering, AI application development, cloud engineering, integration, automation, and production operations. You will work closely with business leaders, technology professionals, and external technology partners to identify opportunities, develop solutions, and move successful concepts into sustainable production environments.
Agent Engineering and Orchestration
Design, build, test, deploy, and maintain AI agents end to end, including retrieval design, context assembly, tool and function definitions, orchestration logic, and structured handoffs when human judgment is required.
Engineer the business context layer that grounds agents, including source connectors, indexing strategy, metadata, permission propagation, data freshness, and reconciliation.
Build evaluation harnesses using test datasets, accuracy and grounding metrics, measured baselines, and regression suites to detect quality drift before and after deployment.
Design guardrails and failure behavior, including confidence thresholds, refusal paths, human review checkpoints, and safe fallback processes when an agent is operating outside reliable boundaries.
Train users on AI capabilities and Microsoft Copilot usage, and facilitate recurring learning sessions that support responsible adoption across business functions.
Agentic Workspace and Enterprise Automation
Automate high-volume, rules-based processes such as document intake and extraction, routing, approvals, and data reconciliation using code, APIs, Model Context Protocols (MCPs), and event-driven services.
Build Microsoft 365 automation, including Microsoft Copilot and Copilot Studio extensibility, Microsoft Graph API integrations, SharePoint and Teams solutions, and Power Platform solutions where appropriate, with custom services where required.
Replace manual handoffs with optimized, observable, and idempotent pipelines that can run safely without duplicating work.
Education and Experience Requirements:
Bachelor’s degree in Computer Science, Software Engineering, Information Systems, Data Engineering, or a related field preferred; equivalent relevant experience will be considered.
Seven (7) or more years of experience building and operating production software or automation systems, including at least three (3) years of direct accountability for diagnosing and fully resolving production failures.
Extensive experience with Microsoft 365 Copilot, Copilot Studio, Azure AI Foundry , or comparable enterprise agent platforms.
Experience working across Microsoft Azure and Amazon Web Services in multi-cloud environments.
Professional-level coding proficiency in Python or an equivalent language used regularly to create tested, peer-reviewed, version-controlled, and deployable code.
Demonstrated end-to-end ownership of a live system, including source control, automated build and release, environment promotion, rollback, monitoring, and incident response.
Hands-on integration engineering experience with REST APIs, MCPs, webhooks, authentication, rate limits, retry logic, and direct troubleshooting of integration traffic.
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.