Forward Deployed Engineer, Microsoft AI & Data

About the Role

Forward Deployed Engineers (FDE) at Deloitte help clients turn AI ambition into enterprise-scale impact, pairing leading-class engineering with pod-based delivery and vertical expertise. This role is at the forefront of AI transformations, for individuals who thrive at the intersection of product, engineering, problem-solving, and client impact.

Key Responsibilities

• 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.
• 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.

Requirements & Tech Stack

• Microsoft AI&Data experience, including hands-on experience with Azure AI Foundry.
• GenAI/LLM powered solutions.
• AI platforms.
• Testing.
• CI/CD.
• Logging.
• Versioning.
• Documentation.
• Computer Science, Data Science, or Engineering degree (or equivalent).
• Cloud environments: AWS, Azure, and/or Google Cloud.
• Data engineering: Spark, Airflow/dbt, streaming, data modeling.
• ML/data science: feature engineering, experimentation, model evaluation.
• MLOps/LLMOps practices: evaluation frameworks, model monitoring, prompt management.
• 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.

Qualifications

• 3+ 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 Microsoft AI&Data including hands-on experience with Azure AI Foundry.
• 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.

Recruiting for this role ends on 10/30/2026.