Deloitte is a leading firm in AI & Engineering, focused on transforming technology platforms and driving innovation for clients. The GenAI Solution Engineer will work closely with client teams to develop and implement generative AI solutions using Claude, Codex, and Gemini, while ensuring effective adoption and integration into business operations.
Responsibilities:
- Embed with client teams to identify high-value use cases and translate them into executable GenAI solutions
- Lead rapid discovery, prototyping, iteration, and deployment-moving from concept to production with strong engineering discipline
- Partner with business and technical stakeholders to define success metrics, constraints, and rollout plans
- Build LLM-enabled applications such as copilots, assistants, workflow automations, and knowledge search experiences
- Develop and maintain prompts, tool-use patterns, and agentic workflows with appropriate human-in-the-loop controls
- Implement retrieval-augmented generation (RAG) and evaluation approaches (quality, hallucination risk, safety, latency, cost)
- Establish usage patterns, templates, and guardrails that help teams scale adoption
- Write and ship code that integrates Claude / Codex / Gemini via APIs into client systems, workflows, and data platforms
- Build or enhance data pipelines and features that power Claude / Codex / Gemini use cases (e.g., document ingestion, metadata, embeddings, search)
- Apply strong practices in testing, logging/monitoring, versioning, and CI/CD to support production-grade releases
- Coach client and project teams on how to use Claude / Codex / Gemini effectively (prompt patterns, workflows, evaluation, governance)
- Create reusable assets (playbooks, reference architectures, example repos, demo flows) to accelerate future delivery
- Communicate complex technical concepts clearly to non-technical audiences through concise storytelling and visuals