Agentic AI Developer - Senior Consultant at Deloitte6

We are seeking a passionate and technically strong Agentic AI Engineer to join our Regulatory Technology & Data (RTD) offering. This role focuses on designing, building, and operationalising agent-based AI systems that support regulatory, risk, and data-intensive use cases - augmenting human decision-making while meeting enterprise-grade standards for safety, governance, and reliability. You will work at the intersection of Generative AI, autonomous agents, cloud platforms, and regulated environments, contributing to production-grade systems rather than research prototypes. Key Responsibilities Agentic System Design & Engineering: • Design and implement agent-based architectures, defining how agents: • Gather and reason over context • Plan and make decisions • Coordinate with other agents • Interact safely with tools, APIs, and enterprise systems • Build and maintain robust agent runtime environments that support cognition, orchestration, and execution at scale. • Implement reasoning and control frameworks (e.g. planning, reflection loops, evaluation pipelines) to enable safe, traceable, and reliable agent behaviour.Platforms, Frameworks & Protocols • Develop using modern Agentic AI frameworks and orchestration tools, such as: • LangGraph • Langflow • N8N • LangChain • Apply knowledge of agent communication and orchestration protocols (e.g. MCP, ACP, A2A, ANP) where appropriate.Security, Governance & Observability • Design and implement security, observability, and governance controls aligned to regulated or high‑risk environments. • Establish guardrails to ensure alignment, safety, and reliability for semi‑autonomous or autonomous operations. • Monitor, evaluate, debug, and continuously improve agent performance using telemetry, evaluation signals, and feedback loops.Human-AI Collaboration • Design human‑in‑the‑loop and human‑on‑the‑loop workflows that ensure AI augments business capability, whilst minimising operational or regulatory risk. • Optimise user interactions and hand‑offs between operational teams and agentic systems.Technical Requirements Core Skills: • Strong programming capability with Python (required). • Experience building, testing, and deploying LLM‑based or agentic systems in real-world environments. • Solid understanding of software architecture, APIs, and distributed systems.Platforms & Engineering Stack (Strongly Preferred): • Experience with some or all of the following: • Python, ASP.NET Core, Entity Framework • Angular or React • PostgreSQL or similar relational databases • MongoDB or similar document databases • Git • Experience with virtualisation and containerisation platforms, e.g Docker, Kubernetes.Cloud & AI (Advantageous): • Azure AI Foundry / Amazon Bedrock Experience • General cloud experience with AWS, Azure and/or GCP. • Cloud architecture and/or AI-related certifications are advantageous.