Senior Forward Deployed Engineer (Data Migration, Cloud Architecture, Python/SQL)

A global technology organization delivering Private Cloud, Data, and AI enterprise solutions is seeking a Senior Forward Deployed Engineer to partner directly with strategic enterprise customers across the United States. This role sits at the intersection of engineering, strategy, and customer engagement—embedding on-site with clients to architect, build, and deploy production-grade AI systems that solve high-impact business challenges.

As a senior individual contributor reporting to the VP of Data & AI, you will own the complete solution lifecycle—from discovery and rapid prototyping to production deployment and continuous optimization. You will serve as the technical bridge between advanced AI platform capabilities and complex enterprise environments, building scalable agentic workflows, RAG pipelines, knowledge graphs, and real-time decision systems integrated with ERP, CRM, and data platforms. 

This role is remote (US-based) with up to 25% travel for customer engagements.

Required Skills

• BS/MS/PhD in Computer Science, Engineering, Data Science, Mathematics, Physics, or related field
• 10+ years of experience in software engineering, data engineering, or AI/ML delivery
• 4+ years in customer-facing, consulting, or forward-deployed roles
• Proven track record building and deploying enterprise-scale AI/ML applications in production
• Deep proficiency in Python (required) plus Node.js or Go
• Strong full-stack capabilities (React or Vue) and experience with SQL/NoSQL databases
• Hands-on expertise with LLMs, prompt engineering, RAG pipelines (LlamaIndex, Haystack), vector databases (Pinecone, Weaviate, AstraDB), and agent orchestration frameworks (LangChain, LangGraph, CrewAI)
• Experience developing and fine-tuning LLM/SLM solutions
• Strong DevOps foundation: Docker, Kubernetes, CI/CD pipelines, GPU infrastructure, cloud-native deployment patterns
• Experience integrating AI solutions with heterogeneous enterprise systems (ERP, CRM, data warehouses, data lakes, streaming architectures)
• Ability to architect scalable ETL/ELT pipelines across structured and unstructured data sources
• Experience with observability, monitoring, telemetry, and governance for AI systems in production
• Strong executive communication skills; comfortable presenting to C-suite and facilitating technical workshops
• Ability to translate ambiguous business challenges into structured engineering roadmaps
• Willingness to travel up to 25%

Bonus Skills

• Experience with enterprise AI platforms such as Palantir Foundry, AIP, Uniphore BAIC, or similar
• Knowledge of ontology modeling, knowledge graphs, and semantic data management
• Experience building multi-agent AI systems with autonomous workflow orchestration
• Familiarity with SLM fine-tuning, model distillation, RLHF, and AI evaluation frameworks
• Experience with GPU infrastructure (e.g., NVIDIA H100/B200, InfiniBand) and private cloud platforms (OpenStack, VMware)
• AI/ML, Foundry, or cloud certifications
• Prior experience in technology consulting, AI startups, or enterprise solutions engineering
• Domain expertise in financial services, healthcare, supply chain, defense, energy, or manufacturing