Senior Forward Deployed Engineer, Palantir

About the role

Deloitte seeks forward-deployed engineers (FDE) who can help clients transform AI ambitions into impactful enterprise solutions. This role combines product, engineering, problem-solving, and client impact.

Responsibilities

• Embed with clients to understand business needs and develop high-value GenAI solutions.
• Partner with leaders, product owners, architects, and engineers to align priorities and deliver solutions.
• Lead working sessions to shape solutions and drive client outcomes.
• 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 and strengthen team and organizational impact.

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 Palantir, including hands-on experience with Foundry, AIP, or Maven.
• 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% based on the nature of the work and clients served.

Preferred Qualifications

• Experience with cloud environments (AWS, Azure, and/or Google Cloud).
• Data engineering experience with Spark, Airflow/dbt, streaming, data modeling, or ML/data science background.
• 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.