Agentic AI Developer - Senior Consultant

At Deloitte, our Purpose is to make an impact that matters for our clients, our people, and society. This is the lens for which our global strategy is set. It unites Deloitte professionals across geographies, businesses, and skills. It makes us better at what we do and how we do it. It enables us to deliver on our promises to stakeholders, while creating the lasting impact we seek.

Harnessing the talent of 450,000+ people located across more than 150 countries and territories, our size and scale puts us in a unique position to help change the world for the better—by bringing together the services we provide, the societal investments we make, and the collaborations we advance through our ecosystems.

Deloitte offers career opportunities across Internal Client Services, Audit & Assurance (A&A), Tax & Legal (T&L) and our Consulting services business, which is made up of Strategy, Risk & Transactions Advisory (SR&T) and Technology & Transformation (T&T). 

About the Division

Deloitte’s Regulatory Technology & Data (RTD) offering enables organisations to manage compliance and financial risk with confidence. Our domain-led approach combines regulatory expertise and cutting-edge technology to streamline processes, optimise reporting, and unlock competitive advantage in a complex regulatory landscape.

We offer comprehensive solutions for regulatory analytics, data governance, and risk management, supported by strategic alliances with leading technology partners. Deloitte’s proven track record in transforming compliance programs delivers measurable cost savings and enhanced risk management, helping businesses stay ahead in a rapidly changing environment.

Our professionals need to have the acumen to handle complex situations and multiple responsibilities simultaneously, balancing long term engagements with the urgency of immediate operational demands. We are committed to establishing and empowering the firm by establishing an environment of continuous learning and enriching career opportunities.

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.

Required

• Bachelor’s degree in Computer Science, Engineering, Mathematics, Statistics, Data Science or Physics.
• Minimum 3 years of relevant professional experience in software engineering, AI, or advanced data systems.
• Demonstrable interest in Generative AI and Agentic AI, evidenced through:
  • Courses or certifications
  • Practical projects or implementations
  • Research, reading, or published materials

Advantageous

• Experience in financial risk, regulatory risk, or compliance-driven environments.
• Exposure to regulatory, audit‑driven, or high‑governance technology contexts.
• AI, Generative AI, or cloud architecture certifications.

What We’re Really Looking For

• Engineers who understand that Agentic AI is not just prompt engineering, but systems design.
• Builders who are comfortable working in regulated, audit-sensitive environments.
• Professionals who can balance innovation with control, autonomy with accountability.
• Individuals motivated to move agentic concepts into production‑grade, defensible solutions.

Note: The list of tasks / duties and responsibilities contained in this document is not necessarily exhaustive.  Deloitte may ask the employee to carry out additional duties or responsibilities, which may fall reasonably within the ambit of the role profile, depending on operational requirements.

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• Upfront Payment Requests: Deloitte will never ask for any upfront payment for background checks, job training, or supplies.
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