AI Solutions Architect
Employment Type: Contract (12+ months could convert to permanent)
Location: Remote, USA
This position does not support third-party submissions, subcontracting, or Corp-to-Corp (C2C) arrangements.
We're looking for an AI Solutions Architect to embed with enterprise customers and turn complex AI opportunities into production-ready solutions. You'll own the full lifecycle, from discovering business and data challenges and rapidly proving value to architecting, deploying, and optimizing enterprise AI applications.
Qualifications/Requirements
• Certified on the Palantir platform
• 6+ years in software, data engineering, or AI/ML
• 4+ years in customer-facing or field roles
• Proven success delivering enterprise-scale AI/ML solutions to production
• Strong full-stack expertise with Python, Node.js/Go, React/Vue, and SQL/NoSQL
• Hands-on experience with LLMs, RAG, vector databases, data pipelines, dashboards, and agentic AI
• Strong DevOps and cloud-native skills, including Docker, Kubernetes, CI/CD, and GPU infrastructure
• Experience integrating AI with enterprise systems, data warehouses, data lakes, and streaming architectures
• Ability to turn ambiguous customer needs into practical engineering solutions under tight deadlines
• Experience with Palantir Foundry/AIP or comparable enterprise AI platforms, including ontology modeling and knowledge graphs
• Experience with LLM/SLM fine-tuning, model evaluation, multi-agent systems, and autonomous workflows
• Experience with GPU/private cloud environments and enterprise AI infrastructure
• Background in technology consulting, AI startups, Forward Deployed, or Solutions Engineering roles
Responsibilities
• Partner directly with customers to identify high-value AI opportunities and translate business challenges into technical solutions.
• Own the full solution lifecycle from discovery and rapid prototyping through architecture, development, deployment, and optimization
• Build production-grade AI applications, including RAG, agentic workflows, knowledge graphs, and real-time decision solutions
• Develop scalable data pipelines and integrate AI solutions with enterprise applications, data platforms, and infrastructure
• Bring full-stack, DevOps, and AI/ML expertise to rapidly deliver production-ready solutions
• Build observability, monitoring, and governance into enterprise AI applications
• Develop reusable architectures, accelerators, and best practices to scale future engagements
• Mentor customer and engineering teams while sharing field insights with product and platform engineering
• Partner with sales and customer success to identify and develop additional high-value AI opportunities
Genius Road, LLC is proud to be a Certified Women's Business Enterprise, an Equal Opportunity Employer, and values diversity. All employment decisions are made on the basis of qualifications, merit, and business need.