Agentic Engineer (Entry level)

An Agentic Engineer designs builds and manages systems where AI agents can perceive reason act and learn autonomously to achieve goals. An Agentic Engineer:

• Develops architectures that define how agents gather context make decisions coordinate with other agents and interact with external tools or APIs.
• Designs and build robust runtime environments for agents which form the foundation for the cognition process.
• Designs and implements appropriate security observability and governance measures to supplement the runtime environment.
• Implements reasoning and control frameworks (e.g. planning reflection loops evaluation pipelines) that allow agents to operate safely and intelligently.
• Optimises humanAI workflows ensuring agents augment human capability rather than create friction or risk.
• Monitors debugs and improve agent behaviour using telemetry and evaluation signals to refine performance over time.
• Ensures safety reliability and alignment establishing guardrails and governance for autonomous operations.

Qualifications :

Role profile

An Agentic Engineer designs builds and manages systems where AI agents can perceive reason act and learn autonomously to achieve goals. An Agentic Engineer:

• Develops architectures that define how agents gather context make decisions coordinate with other agents and interact with external tools or APIs.
• Designs and build robust runtime environments for agents which form the foundation for the cognition process.
• Designs and implements appropriate security observability and governance measures to supplement the runtime environment.
• Implements reasoning and control frameworks (e.g. planning reflection loops evaluation pipelines) that allow agents to operate safely and intelligently.
• Optimises humanAI workflows ensuring agents augment human capability rather than create friction or risk.
• Monitors debugs and improve agent behaviour using telemetry and evaluation signals to refine performance over time.
• Ensures safety reliability and alignment establishing guardrails and governance for autonomous operations.

Required Qualifications and Experience

This is an entry-level position and work experience is not a pre-requisite. The following requirements do however apply:

• A bachelors degree. Based on the information presented in Agentic Engineering in the Deloitte context a wide variety of degrees will be considered.
• A demonstrable interest in Generative AI and Agentic AI. This interest can be demonstrated through a wide variety of means examples of which include courses completed certifications obtained projects completed articles written books and research papers read etc.
• Building AI systems requires programming and proficiency in Python is required.
• Knowledge- and experience of relevant protocols (e.g. MCP ACP A2A ANP etc.) and platforms/frameworks (e.g. LangChain LangGraph LlamaIndex CrewAI AutoGen etc.) is beneficial.
• Previous experience with- and certifications in AWS Azure and GCP is also beneficial. AI and Generative AI certifications are particularly valuable.

• Important behavioural traits

  General:

• Excellent English communication skills both written and verbal.
• Effective interpersonal and relationship-building skills.
• Adaptable managing change and ambiguity with ease.
• Effective problem-solving ability.

• Role specific:

• Systems thinking. You view problems as interconnected systems rather than isolated components.
• Bias for experimentation and iteration. You like to prototype observe gather data and refine.
• Reflective and meta-cognitive thinking. You enjoy practicing second-order and meta-level reasoning.
• Clarity in instruction and decomposition. You are exceptional at breaking down tasks specifying steps defining boundaries and writing instructions that are unambiguous but flexible.
• Curiosity and cross-disciplinary learning. You enjoy learning in- and connecting many domains e.g. AI and ML distributed systems human factors psychology workflow design product thinking etc.
• Ambiguity and emergent behaviour. You are comfortable navigating uncertainty and shaping it into predictable performance.
• Builder mentality. You enjoy building testing and improving working systems.

Additional Information :

Agentic Engineering in the Deloitte context

Agentic Engineering is the discipline of designing building and operating AI systems that can take autonomous goal-directed actions rather than simply respond to prompts. It combines software engineering orchestration frameworks reasoning models tools memory and environment design to create AI agents that can plan decide execute tasks observe outcomes and iteratively improve their behaviour.

Our Agentic Engineering practice combines a diverse range of technology capabilities and domain expertise including functional and sector specific subject matter knowledge and experience. Our approach to building Agentic systems is to deliver tangible business value and the constitution of our practice enables this.

This background is important in how we think about the role of an Agentic Engineer in our context. Our Agentic Engineers come from diverse backgrounds some come from technology and engineering related backgrounds while others have a grounding in functional domains (e.g. Finance Actuarial Science Risk Supply Chain Human Capital etc.) or sectors (e.g. Banking Insurance Mining Telecommunications Retail etc.). While our Agentic Engineers come from diverse backgrounds what they all share is a strong technology orientation and a belief that Agentic AI will transform the world.

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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At Deloitte we want everyone to feel they can be themselves and to thrive at workin every country in everything we do every day. We aim to create a workplace where everyone is treated fairly and with respect including reasonable accommodation for persons with disabilities.

We are committed to employment equity and building a diverse and inclusive workplace across the African continent. Our recruitment processes are aligned with our Employment Equity Plan and the principles of the Employment Equity Act. Preference may be given to candidates from designated groups.

We actively support the inclusion of people with disabilities and embrace neurodiversity in the workplace. We recognise and value the unique strengths that neurodivergent individuals bring and we are committed to creating an environment where everyone can thrive.

If you require reasonable accommodations in relation to your disability and neurodiverse needs during the recruitment process please let us know. We are happy to make adjustments to suit your individual needs.

Remote Work :

No

Employment Type :

Full-time