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, focusing on rapid prototyping and delivering high-impact GenAI-enabled solutions.

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 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 and end users on platform capabilities and AI enablement.
• 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.
• Contribute to team impact by mentoring other FDEs through design/code reviews and feedback, while contributing reusable components to intellectual capital.
• Build AI-enabled solutions, agentic platforms, and workflows across enterprise AI platforms.
• 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

• 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 one of the following key platforms: Foundry, AIP, 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 work you do and the clients and industries/sectors you serve.

Preferred Qualifications

• 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 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.