Lead AI Engineer

What You Drive at DTNA

1. AI Application Development & Delivery

• Design, build, test, deploy, and maintain AI-enabled applications within Palantir Foundry and associated AI platforms.
• Collaborate with business stakeholders to identify, evaluate, and prioritize use cases.
• Develop solutions using LLMs, AI agents, machine learning techniques, and workflow automation technologies.
• Participate in rapid, iterative development cycles to deliver business value quickly.
• Engineer scalable and reusable solutions with global deployment potential.

2. Ontology, Data & Integration Architecture

• Define and consult on ontology design, object models, and schema architecture.
• Identify, ingest, clean, transform, and integrate enterprise and external data sources.
• Develop robust data pipelines and connectivity frameworks.
• Design data architectures that maximize interoperability, discoverability, and future use-case expansion.
• Collaborate with IT on security, permissions, governance, and system integration requirements.

3. Platform Engineering

• Design and support infrastructure architecture required for AI and data applications.
• Develop APIs, integrations, and platform connectivity solutions.
• Support engineering standards, scalability, performance optimization, and deployment practices.
• Evaluate and incorporate emerging AI technologies and tools into enterprise solutions.

4. Platform Operations & Support

• Own operational support for deployed AI applications.
• Monitor application performance, reliability, and adoption metrics.
• Accept escalations for technical incidents and troubleshoot root causes.
• Coordinate with IT Service Management and platform support teams to resolve issues.
• Ensure operational excellence and continuous platform improvement.

5. Continuous Improvement & Innovation

• Apply Lean principles and value-stream thinking to identify process inefficiencies.
• Reimagine business processes through automation, AI agents, predictive analytics, and intelligent workflows.
• Evaluate emerging AI capabilities and determine practical business applications.
• Drive innovation by continuously exploring advancements in generative AI, machine learning, and automation technologies.

6. Community Development & Adoption

• Promote AI literacy and digital transformation across Procurement and Supply teams.
• Deliver training, demonstrations, workshops, and knowledge-sharing sessions.
• Mentor super users, champions, and citizen developers.
• Support change management and adoption efforts for newly deployed solutions.
• Foster collaboration with the Palantir ecosystem and broader AI community.

7. Governance & Strategic Alignment

• Contribute technical expertise to governance reviews and architectural decisions.
• Support evaluation and prioritization of approved and backlog use cases.
• Ensure compliance with enterprise standards, security requirements, and AI governance frameworks.
• Provide technical assessments, effort estimates, and implementation recommendations to leadership and steering committees.

Knowledge You Should Bring

· Bachelor’s degree in Computer Science, Software Engineering, Data Science, Mathematics, Engineering, Physics, Supply Chain, or a related field, and 5-y years of relevant experience, is required.

· At least 1 year of group leader, project lead or mentoring experience required

· 2+ years of experience in one or more of the following: AI Engineering, Data Engineering, Software Development, Supply Chain Management, Procurement, Logistics, Advanced Analytics.

· Strong programming skills in languages such as: Python, Java, C++, TypeScript/JavaScript, SQL.

· Experience building and deploying AI, machine learning or LLM-based solutions.

· Understanding of prompt engineering, Retrieval Augmented Generation (RAG), AI Agents, Model Evaluation, Machine Learning Fundamentals, Data Pipelines, API Development, Cloud and Platform Architectures.

· Strong analytical and problem-solving capabilities.

· Ability to translate business needs into technical solutions.

· Excellent communication and stakeholder engagement skills.

· Comfortable working in a fast-paced, highly iterative environment.

· Ability to collaborate effectively with both technical and non-technical teams.

· Experience applying Lean methodologies and continuous improvement principles.

· An attached resume is required.

Exceptional Candidates Might Have

· Advanced degree preferred but not required.

· Experience with Palantir Foundry or similar enterprise data and AI platforms preferred

· Working knowledge of one of more of the following: supply chain, material planning, logistics, procurement