Forward Deployed Engineer- Snowflake

Deloitte • Tampa, FL

155d • $134,500 - $265,100

About The Position

Deloitte is hiring a Forward Deployed Engineer specializing in Snowflake to help clients turn AI ambitions into enterprise-scale impact. The role combines engineering, product thinking, problem-solving, and client delivery. The engineer works alongside senior client stakeholders to rapidly prototype and deliver high-impact generative AI solutions, producing working software and measurable business outcomes.

The position is part of Deloitte’s AI & Engineering team, which builds, deploys, and operates integrated sector solutions across software, data, AI, networks, and hybrid cloud infrastructure. The team modernizes technology and data platforms and tailors delivery models to client requirements. The role requires an average of 50% travel. Recruiting for this role ends on October 30, 2026.

Requirements

• Bachelor's degree or equivalent in Computer Science, Data Science, or Engineering.
• At least 3 years of experience in software engineering, data engineering, data science, or analytics engineering.
• At least 1 year of hands-on experience building and deploying GenAI/LLM-powered solutions in client or production environments.
• At least 1 year of Snowflake experience, including hands-on experience with at least one of Cortex AI, Cortex LLM Functions, Cortex Agents, or Arctic Embed.
• At least 1 year of experience leading project workstreams or engagements and translating business problems into AI solutions.
• At least 1 year of experience building reliable, maintainable, and well-documented code.
• Ability to travel an average of 50%, based on the work performed and the clients and industries served.

Nice To Haves

• Experience with cloud environments such as AWS, Azure, or Google Cloud and common platform services including storage, compute, IAM, and networking.
• 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, or data modeling, or an ML/data science background in feature engineering, experimentation, or model evaluation.
• Experience with MLOps/LLMOps practices such as evaluation frameworks, model monitoring, and prompt management.
• Experience integrating LLM solutions with enterprise systems through APIs, microservices, or event-driven architectures.
• Experience working in hybrid onshore/offshore teams.
• Familiarity with security, privacy, and compliance considerations.

Responsibilities

• Embed with clients to identify business needs and translate high-value generative AI use cases into solutions.
• Partner with client 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 a Forward Deployed Engineer pod and mentor newer team members.
• 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.
• Make 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.

Benefits

• Broad range of employee benefits.
• Opportunities to build new skills, take on leadership opportunities, and grow through mentorship and formal development programs.
• May be eligible to participate in a discretionary annual incentive program, subject to program rules and applicable factors.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level