1+ years of hands-on experience building and deploying GenAI/LLM-powered solutions in client or production environments + 1+ years of experience with one of the following Frontier GenAI Platforms: Anthropic, Google or Open AI, including hands on experience with one of the following key platforms/products; Claude API, Claude for Enterprise, tool use, extended thinking, Claude Code, Gemini API, Vertex AI Agent Builder, Grounding, Google Workspace integration, GPT-4o, Assistants API, Responses API, OpenAI Agents SDK + 1+ years of experience leading project workstreams/engagements and translating business problems into AI solutions + 1+ years of experience building reliable, maintainable, and well-documented code + Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve + Limited immigration sponsorship may be available Preferred qualifications + Experience with cloud environments (AWS, Azure, and/or Google Cloud) and common platform services (storage, compute, IAM, networking) + Demonstrated ability to work directly alongside client technical teams and program stakeholders in fast-paced, ambiguous delivery environments + Data engineering experience with Spark, Airflow/dbt, streaming, data modeling or ML/data science background feature engineering, experimentation or model evaluation + Experience with MLOps/LLMOps practices: evaluation frameworks, model monitoring, and prompt management + Experience integrating LLM solutions with enterprise systems via APIs, microservices, or event-driven architectures + Experience operating within hybrid onshore/offshore teams + Familiarity with security, privacy, and compliance considerations The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. Client Engagement + Serve as the senior client-facing presence, building trusted advisor relationships as the senior engineering partner for client product, data, and platform leaders + Lead executive-level discovery, define success metrics (quality, latency, cost, adoption, risk) and a phased plan from prototype to production and scaling + Navigate organizational complexity and influence to align executive sponsors, IT leadership, and business owners around a shared vision + Represent Deloitte's FDE capability in client pursuits, executive briefings, and platform partner engagements-contributing to pipeline development and deal shaping.