Forward Deployed Engineer

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Company Overview

A leading global professional services organization helps enterprises accelerate digital transformation through advanced engineering, data, cloud, and artificial intelligence solutions. By combining deep industry expertise with cutting-edge technology capabilities, the organization delivers innovative solutions that modernize operations, enhance decision-making, and create measurable business value for clients across industries.

The organization is seeking a Forward Deployed Engineer – Palantir to work closely with client teams to rapidly prototype and deliver high-impact Generative AI solutions. This role combines software engineering, AI implementation, client engagement, and solution architecture to help organizations transform AI initiatives into scalable business outcomes.

The ideal candidate thrives at the intersection of product development, engineering, problem-solving, and client collaboration. This position requires building production-ready AI solutions, engaging with stakeholders, and driving measurable impact through enterprise-scale AI transformation initiatives.

Key Responsibilities

Client Engagement

• Collaborate directly with clients to identify business challenges and translate high-value Generative AI use cases into practical solutions.
• Partner with business leaders, product owners, architects, and engineers to align priorities and delivery objectives.
• Lead workshops and working sessions to shape solution strategies and achieve client outcomes.
• Prototype and deploy AI-powered solutions using industry expertise and emerging technologies.
• Contribute independently within cross-functional delivery teams while supporting and mentoring junior team members.

Solution Engineering

• Build AI-enabled applications, agentic platforms, and intelligent workflows across enterprise AI environments.
• Develop scalable AI engineering patterns, tool integration approaches, and human-in-the-loop governance controls.
• Make architectural decisions that balance quality, security, latency, cost efficiency, and model risk.
• Deliver production-quality code using best practices in testing, CI/CD, logging, version control, and documentation.
• Design extensible solution components and support sprint planning and effort estimation.
• Develop reusable assets such as code libraries, prompt repositories, runbooks, and reference implementations.

Required Qualifications

• Bachelor’s degree or equivalent in Computer Science, Data Science, Engineering, or a related field.
• 3+ years of experience in software engineering, data engineering, data science, or analytics engineering.
• 1+ years of hands-on experience building and deploying Generative AI or LLM-powered solutions in production or client environments.
• 1+ years of experience working with Palantir platforms, including Foundry, AIP, Maven, or related products.
• 1+ years of experience leading project workstreams and translating business requirements into AI-driven solutions.
• 1+ years of experience developing reliable, maintainable, and well-documented software.
• Ability to travel up to 50% based on project and client requirements.
• Eligibility to work in the required location; limited immigration sponsorship may be available.

Preferred Qualifications

• Experience with cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform.
• Proven ability to work directly alongside client technical teams and program stakeholders in fast-paced, evolving environments.
• Experience in data engineering technologies such as Spark, Airflow, dbt, streaming platforms, data modeling, or machine learning workflows.
• Familiarity with MLOps and LLMOps practices, including model monitoring, evaluation frameworks, and prompt management.
• Experience integrating LLM-powered solutions with enterprise applications through APIs, microservices, or event-driven architectures.
• Experience collaborating within hybrid onshore and offshore delivery teams.
• Knowledge of security, privacy, governance, and compliance requirements related to enterprise AI deployments.

Disclaimer

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