Senior Forward Deployed Engineer, Microsoft AI&Data

About the role

Deloitte seeks to recruit a Senior Microsoft AI&Data Forward Deployed Engineer (FDE) to join its team. This role involves helping clients transform AI ambitions into impactful enterprise-scale solutions, blending advanced engineering skills with pod-based delivery and specialized expertise.

Responsibilities

• Embed with clients to understand business needs and develop high-value GenAI use cases.
• Partner with leaders, product owners, architects, and engineers to align priorities and ensure successful delivery.
• Lead working sessions to define and deliver AI solutions.
• Prototype and deliver working AI solutions using industry expertise and emerging capabilities.
• Mentor newer team members and coach client teams on platform capabilities and AI enablement.
• Drive end-to-end sales and delivery support by developing demos/POCs, contributing to proposals, and articulating business value.
• Contribute reusable components to intellectual capital through design/code reviews and feedback.

Requirements

• 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 Microsoft AI&Data, including hands-on experience with Azure AI Foundry.
• 1+ years of experience leading project workstreams and translating business problems into AI solutions.
• 1+ years of experience building reliable, maintainable, and well-documented code.
• Ability to travel 50% based on work requirements and client needs.

Qualifications

• Limited immigration sponsorship may be available.
• 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.
• 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.
• Familiarity with security, privacy, and compliance considerations.

Benefits

The team 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 designed to transform mission-critical operations and enable clients to stay ahead with the latest advancements.

Pay

A reasonable estimate of the current range is $155,600 to $306,800.

Schedule

Flexible schedule to accommodate client engagements and project demands.