AI Architect - DC/VA - Onsite

Required Skills & Experience

• 8–12 years of experience in AI/ML architecture, orchestration, or ITSM automation.


• Prior work in regulated enterprise environments with compliance-heavy workflows.


• Exposure to AI governance frameworks and enterprise adoption strategies.


• Agentic Platforms: Proven expertise with Workato, AWS Bedrock Agents, Claude Agentic Orchestration, Digitalnet.ai, Serval, Atomic Work, Harmony.ai, and Leena.ai.


• Enterprise Architecture: Strong background in hybrid cloud (Azure AWS), API integration, and orchestration frameworks.


• Governance & Compliance: Experience with AI governance platforms (Credo.AI or equivalent), IAM/RBAC, audit logging, and regulatory alignment.


• Data Architecture: Skilled in data wrangling, feature engineering, and pipeline design for AI/ML workflows.


• ITSM Knowledge: Deep understanding of incident management, service requests, and change management automation.


• Leadership: Ability to lead cross-functional teams, mentor developers, and engage with vendors and stakeholders.


• Soft Skills: Strong communication, documentation, and presentation skills for executive and technical audiences.

Key Responsibilities

• Architecture & Strategy
  
  
  • Define enterprise architecture for agentic AI orchestration and ITSM automation.
  
  
  • Design integration blueprints across hybrid cloud environments (Azure AWS).
  
  
  • Establish scalability, security, and compliance frameworks for agentic workflows.


• Platform Evaluation & Selection
  
  
  
  • Lead comparative assessments of Workato, AWS, Claude, Digitalnet.ai, Serval, Atomic Work, Harmony.ai, and Leena.ai.
  
  
  • Document pros/cons, risks, and vendor maturity for leadership decision-making.


• Governance & Compliance
  
  
  
  • Implement governance controls using Credo.AI (policy enforcement, explainability, audit readiness).
  
  
  • Ensure IAM/RBAC alignment across orchestration and ITSM platforms.


• Data Architecture
  
  
  
  • Oversee data wrangling, preparation, and integration
  
  
  • Define data pipelines for anomaly detection, compliance validation, and ITSM automation.


• Leadership
  
  
  
  • Guide AI Developers in building and testing sandbox environments.
  
  
  • Validate vendor claims against real-world performance and enterprise requirements.


• Stakeholder Engagement
  
  
  
  • Liaise with business units, ITSM teams, and compliance officers to align technical solutions with operational needs.
  
  
  • Present architecture diagrams, phased roadmaps, and executive-ready reports.