Join our AI & Engineering team in transforming technology platforms, driving innovation, and helping make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and re-engineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.
AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.
Recruiting for this role ends on 4/30/2026
Role summary
We're seeking a GenAI practitioner who can embed with client teams and use Claude / Codex / Gemini using various IDEs to solve real business problems-rapidly prototyping solutions, writing production-quality code, and enabling client and Deloitte teams to adopt GenAI safely and effectively. You'll operate at the intersection of AI engineering, data engineering/data science, and delivery, translating ambiguous needs into working software and measurable outcomes. Work you'll do
- Client Delivery (Forward-Deployed)
- Embed with client teams to identify high-value use cases and translate them into executable GenAI solutions
- Assist with 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
- GenAI Solution Development (Claude / Codex / Gemini)
- 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.
- Engineering & Data Foundations
- 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
- Enablement & Change Adoption
- 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
The team
Our AI & Data practice offers comprehensive solutions for designing, developing, and operating advanced Data and AI platforms, products, insights, and services. We help clients innovate, enhance, and manage their data, AI, and analytics capabilities, ensuring they can grow and scale effectively. Qualifications Required:
- At least 2 years of relevant professional consulting or industry role experience in data engineering, data science, analytics engineering, or software engineering (experience level flexible based on role leveling)
- 1+ years hands-on experience building with generative AI and LLMs; to include experience leveraging Claude, Codex and/or Gemini to deliver working solutions (ie: prompt patterns, workflows, evaluation, governance
- 2+ year's hands-on Python and SQL experience; including experience building reliable, maintainable code
- Bachelor's degree in Computer Science, Data Science, Engineering, or related field
- Ability to travel up to 50% on average, based on the work you do and the clients and industries/sectors you serve
- Limited immigration sponsorship may be available
Preferred:
- Snowflake including hands-on experience with one of the following key platforms: Cortex AI, Cortex LLM Functions, Cortex Agents, Arctic Embed
- Databricks including hands-on experience with one of the following key platform technologies: DBRX, MLflow, Vector Search, Databricks AI Gateway
- Experience leading project workstreams/engagements and translating business problems into AI solutions
- Experience with cloud environments (AWS, Azure, and/or Google Cloud) and common platform services (storage, compute, IAM, networking)
- Data engineering experience with: Spark, Airflow/dbt, streaming, data mod