Senior AI Engineer

Cogent Infotech Pvt. Ltd.; Fairfax (VA); Ibrido; USD 113.000 - 223.000; Tempo pieno

Descrizione del lavoro

Cogent Infotech is seeking a Senior AI Engineer for a hybrid role in Fairfax, VA. The role will lead engineering for an agentic AI derivation and deployment platform, including curation of agent workflows and automated provisioning in Azure Foundry.

You will define enterprise patterns for AI lifecycle management, oversee security controls and policy enforcement, and collaborate with governance teams on model evaluation, cost, and risk trade-offs while guiding adoption of AI tools and platform

Competenze

• Bachelor's degree in Computer Science, Engineering, or related field.
• 5+ years software/cloud engineering experience.
• 2+ years delivering AI/ML-enabled solutions.
• Experience as full stack developer with focus on AI.
• Production-grade cloud solutions on Azure.

Mansioni

• Lead engineering for an agentic AI derivation and deployment platform.
• Curation of agent workflows and provisioning in Azure Foundry.
• Define enterprise patterns for AI lifecycle management.
• Security controls and policy enforcement.
• Operational observability.
• Model evaluation and recommendation with governance.
• AI credit management: forecasting and usage analytics.
• Build and govern automation frameworks.
• Integration strategy for APIs, Microsoft 365 Copilot, SharePoint, Teams.
• Mentor engineers and drive delivery excellence.
• Azure Foundry infrastructure posture and security hardening.
• Evaluate emerging AI tools and create adoption roadmaps.

Conoscenze

Cloud engineering

AI/ML solutions

Full stack development

Python

PowerShell

SQL

RESTful APIs

Security governance

Leadership mentoring

Azure Foundry

Formazione

Bachelor’s degree in CS/Engineering or related field

Strumenti

GitHub

Codex

Azure Foundry

Descrizione del lavoro

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

Responsibilities

• 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

Requirements

• 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

Technologies

• Python
• PowerShell
• SQL
• Azure
• Azure ML
• Azure Functions
• Cognitive Services
• Azure Foundry
• Azure Foundry Agent Services
• Azure Automation Accounts (Runbooks)
• RESTful APIs
• GitHub
• Codex
• Microsoft 365 Copilot
• SharePoint Online
• Teams
• Microsoft 365
• Graph APIs
• Dataverse
• Copilot Studio

Desired Qualifications

• 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