Process Analyst and AI Automation Engineer

ISITE TECHNOLOGIES is seeking a Process Analyst and AI Automation Engineer to enhance project execution outcomes through AI integration. This role involves working closely with the Project Management team to identify and implement AI solutions that streamline workflows and improve productivity in project delivery contexts.

Responsibilities:

• Embed with Project Managers and Project Directors to understand day-to-day coordination pain points across engineering, procurement, logistics, construction, and closeout workflows
• Map the current project management environment and identify where manual handoffs, data silos, status-chasing, and repetitive coordination tasks create drag on team productivity
• Identify and prioritize the highest-value AI and automation opportunities based on business value, user pain, technical feasibility, and adoption likelihood
• Design, configure, pilot, and refine AI-assisted workflows for project coordination use cases such as:
• Document comment triage and routing
• Meeting follow-up and action item capture
• Cross-system status synthesis
• Risk and issue flagging
• Overdue action tracking
• Coordination handoff support across functions
• Serve as an embedded AI pilot user and design partner, testing new tools and capabilities against real project-delivery workflows before wider rollout
• Define and execute lightweight pilots and user acceptance criteria for AI-enabled workflows, including usefulness, reliability, consistency, workflow fit, and operational risk
• Capture structured feedback on AI behavior, including failure modes, trust barriers, edge cases, usability issues, and opportunities for improvement
• Partner with digital, product, and business teams to refine prompts, workflow logic, interfaces, and governance based on end-user testing
• Document workflows and pilots clearly, including user intent, configuration logic, triggers, exception handling, escalation paths, assumptions, and limitations

Requirements:

• 5-12 years of experience
• Domain experience in Infrastructure (Oil & Gas, aviation, construction etc)
• Strong understanding of project-delivery workflows
• Comfort with AI and workflow automation tools
• Practical judgment about business value and risk
• Ability to help teams adopt new ways of working