Senior AI/Automation Specialist to support cybersecurity projects with client in the public sector

Onsite 2 days/week - Tues/Wed MANDATORY - the schedule will alternate between two days onsite, then three days, and back to two days, and so on.

Hours: 35/Week

• Design, build, and maintain AI agents, automation workflows, and reporting solutions under defined guidance
• Develop and support automations using Power Automate, SharePoint workflows, and other low‑code tools
• Configure and deploy AI agents to support business processes, including prompting, orchestration, and integrations
• Build dashboards and analytics in Power BI; write SQL queries to support reporting and automation triggers
• Support assessment and rationalization of existing AI, automation, and analytics tools against defined standards
• Collaborate with business, IT, data, and security teams to implement approved AI and automation use cases
• Apply established AI security, governance, and responsible AI standards within solutions
• Troubleshoot, enhance, or remediate underperforming AI and automation solutions
• Create and maintain technical documentation, workflows, and knowledge transfer materials
• Provide targeted execution support on AI strategy, governance, or readiness initiatives as assigned

• Strong hands‑on experience with Power Automate, Power BI, and SharePoint automation
• Experience developing and deploying AI agents or intelligent automation solutions
• Solid SQL skills for data analysis, reporting, and automation support
• Experience working with AI/automation tooling, orchestration frameworks, or small language models
• Familiarity with AI security, governance, and compliance requirements
• Experience evaluating tools or solutions against defined standards or architectures
• Strong problem‑solving and troubleshooting skills
• Experience working with both business and technical stakeholders
• Ability to execute effectively while supporting broader strategic objectives

• Experience in public‑sector, regulated, or large enterprise environments
• Experience with low‑code / no‑code platforms beyond the Microsoft stack
• Background in data engineering or automated data pipelines
• Experience supporting or enhancing vendor‑ or consultant‑delivered solutions
• Familiarity with responsible AI principles and model lifecycle stages
• Experience contributing to AI pilots, proofs of concept, or quick‑win automations