Ai engineer

Responsibilities AI Tools evaluation – Explore the capabilities of new Generative AI tools and build AI‑driven tools and workflows using platforms such as Copilot Studio, Ui Path and other automation frameworks. Integration & Enablement – Connect AI agents with enterprise systems (e.g., Share Point, M365), external APIs, and knowledge bases to ensure seamless interoperability. Process Automation – Identify repetitive tasks and design intelligent automation solutions to improve efficiency. Collaboration & Training – Partner with cross‑functional teams to enable AI literacy, create best‑practice documentation, and support internal training sessions. Governance & Compliance – Collaborate with cybersecurity teams to enforce data protection, threat modeling and ensure all AI solutions adhere to security, ethical, and compliance standards. Security & Identity Integration – Ensure secure agent interactions using encryption, authentication, and authorization mechanisms. Continuous Improvement ...