Description

Top Must-Haves:

• Senior or Principal level
• Palantir certification
• Palantir Echo
• Deep full-stack proficiency: Python
• Proven track record in building and deploying AI/ML applications in production at enterprise scale
• 4+ years in customer facing or field roles
• Data Engineering Skills

Required Qualifications

• Professional certification on an enterprise AI, analytics, or data platform.
• 6+ years of experience in software engineering, data engineering, machine learning, artificial intelligence, or related technical disciplines.
• 4+ years working directly with customers in consulting, field engineering, solutions engineering, or similar client-facing roles.
• Demonstrated success deploying production-grade AI/ML solutions within enterprise environments.
• Strong Python development experience.
• Experience with modern web application development technologies and APIs.
• Hands-on experience with:
• Large Language Models (LLMs)
• Prompt engineering
• Retrieval-augmented generation (RAG)
• Vector databases
• Data pipelines
• Agentic AI frameworks
• AI application development
• Experience designing and deploying cloud-native solutions.
• Strong DevOps and infrastructure automation experience including containerization, orchestration, and CI/CD.
• Experience integrating enterprise applications, data warehouses, data lakes, and operational systems.
• Ability to translate complex business requirements into scalable technical solutions.
• Excellent communication and presentation skills with both technical and executive stakeholders

Key Skills

Education

Any Graduate