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AI Solutions Architect #3352

  • Remote, USA
  • Information Technology

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.