Senior Forward Deployed Engineer, Snowflake

At Deloitte, Forward Deployed Engineers (FDE) don't just build AI solutions, they help clients turn AI ambition into enterprise-scale impact, pairing leading class engineering with pod-based delivery and vertical expertise. If you thrive at the intersection of product, engineering, problem-solving, and client impact, this role puts you at the forefront of AI transformations. Recruiting for this role ends on 10/30/2026. Work you'll do As a Senior Snowflake FDE, you will work side by side with senior functional and technical client team members to rapidly prototype and deliver high-impact GenAI-enabled solutions. This requires a highly motivated practitioner who moves with speed and precision, building working software, engaging confidently with senior stakeholders and engineers to bring measurable business impact from day one. Additional responsibilities include: Client Engagement • Embed with clients to identify business needs and translate high-value GenAI use cases into solutions. • Partner with leaders, product owners, architects, and engineers to align priorities and delivery. • Lead working sessions to shape solutions and drive client outcomes. • Prototype and deliver working AI solutions using industry expertise and emerging capabilities. • Contribute independently within an FDE pod while mentoring newer team members. • Coach client teams and end users on platform capabilities and AI enablement, while building trusted relationships, managing expectations, and supporting long-term engagement success. • Drive end-to-end sales and delivery support by developing demos/POCs, contributing to proposals and orals, articulating business value, and documenting solutions for smooth client handoff and knowledge transfer. • Strengthen team and organizational impact by mentoring other FDEs through design/code reviews and feedback, while contributing reusable components to intellectual capital. Solution Engineering • Build AI-enabled solutions, agentic platforms, and workflows across enterprise AI platforms. • Develop scalable AI engineering patterns, tool-use approaches, and human-in-the-loop controls. • Apply architecture decisions that balance quality, safety, latency, cost, and model risk. • Deliver production-quality code using strong practices in testing, CI/CD, logging, versioning, and documentation. • Design extensible functionality, support sprint sizing, and align solutions with senior team members. • Contribute reusable assets including code, prompt libraries, runbooks, and reference implementations. The team 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. Required Qualifications • Bachelor's degree (or equivalent) in Computer Science, Data Science or Engineering. • 5+ years of experience in software engineering, data engineering, data science, or analytics engineering. • 1+ years of hands-on experience building and deploying GenAI/LLM-powered solutions in client or production environments • 1+ years of experience with Snowflake including hands-on experience with one of the following key platforms; Cortex AI, Cortex LLM Functions, Cortex Agents, Arctic Embed • 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 • Exp