A week in the life of an AI Technical Lead or Engineer might look like:
- Engineering end-to-end projects and developing sprint deliverables in generative and agentic AI, developing innovative solutions using existing digital platforms and foundation models from concept to deployment, in a fast-paced dynamic environment.
- Collaborating with cross-functional Deloitte teams to identify technical requirements and architecting and deploying AI solutions in complex environments that meet those requirements.
- Stand up robust LLMOps: automated evals, tracing/observability, offline/online testing, prompt versioning, safety red‑teaming, and cost/latency optimisation.
- Productionise models and pipelines using containerisation, CI/CD, infrastructure as code, and cloud‑native services; embed security, privacy, and responsible AI controls through the SDLC.
- Implement retrieval strategies (chunking, hybrid search, metadata filters), grounding, and feedback loops to improve reliability and factuality.
- Partner with engagement leads to scope, estimate, and deliver work packages; contribute to accelerators, reference architectures, and reusable components.
- Maintaining a high level of continuous learning in the latest tools and processes available in market, particularly with regards to engineering and delivery of generative and agentic AI technologies.
- Supporting your Deloitte colleagues to make an impact that matters to your community and clients, notably providing technical guidance to junior team members.