Cogent Infotech is hiring a Senior AI Engineer for a hybrid role in Fairfax, VA.

Lead engineering for an agentic AI derivation and deployment platform, including:
- Curation of agent workflows
- Agent specification generation
- Automated provisioning in Azure Foundry
Define and implement enterprise patterns for AI agent lifecycle management, including:
- Security controls
- Policy enforcement
- Operational observability
Lead model evaluation and recommendation efforts with security and governance teams, performing trade-off analysis across:
- Capability
- Risk
- Cost
Contribute to AI credit management capabilities, including:
- Forecasting
- Allocation strategies
- Usage analytics
- Executive-level reporting
Build and govern automation frameworks for:
- Usage reporting
- Model controls
- Policy checks
- Operational remediation
Serve as a technical resource for enterprise AI cloud platforms and tools, including:
- GitHub
- Azure Foundry
- Codex
Guide integration strategy for AI experiences across:
- APIs
- Workflows
- Microsoft 365 Copilot
- SharePoint Online
- Teams
- Related enterprise tools
Mentor junior engineers, set engineering standards, and drive delivery excellence for AI and automation initiatives
Partner with platform teams on Azure Foundry infrastructure posture, security hardening, and compliance adherence
Evaluate emerging AI tools and create adoption guidance, architecture guardrails, and implementation roadmaps

Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field; advanced degree preferred but not required
5+ years of experience in software engineering, cloud engineering, or automation platforms, including 2+ years delivering AI/ML-enabled solutions
Experience as a full stack developer with a focus on AI
Proven ability to design and deploy production-grade cloud solutions on Azure
Strong proficiency in Python, PowerShell, and SQL; ability to build robust API-driven automation systems
Working knowledge of:
- Azure ML
- Azure Functions
- Cognitive Services
- Azure Foundry Agent Services
- Azure Automation Accounts (Runbooks)
Demonstrated expertise with RESTful APIs, service integration, and secure authentication and authorization patterns
Experience establishing technical governance, architecture standards, and secure-by-design practices in enterprise settings
Experience with cost optimization, usage analytics, budgeting, or FinOps-style engineering for cloud and AI services
Excellent stakeholder communication skills, including translating complex technical topics for security, finance, and business audiences
Demonstrated leadership mentoring engineers, driving architecture decisions, and delivering cross-functional programs

Hands-on experience with Azure Foundry and enterprise agent/LLM orchestration patterns
Experience implementing policy as code, compliance checks, and governance automation for AI platforms
Familiarity with GitHub Enterprise Cloud administration, billing governance, and AI policy management
Experience integrating with Microsoft 365 services, including SharePoint Online, Teams, and Graph APIs, plus Copilot-adjacent tooling
Experience with Dataverse via REST APIs and enterprise data platform integrations
Exposure to Copilot Studio administration or enterprise advisory support
Experience building reusable AI platform components, internal developer platforms, or factory-style delivery models
Relevant certifications such as Azure Solutions Architect, Azure AI Engineer, Security, or DevOps are a plus

Location: Fairfax, VA (hybrid) | Salary: USD 113,000 - 223,000 per year

Senior AI Engineer

Job Description