Urgent C2C Requirement :: Forward Deployed Engineer :: Remote

Contract

AI Engineer jobs

Forward Deployed Engineer (AI)
Location: Remote
Exp: 12+ years
Duration: 6+ Months
 C2C 
 
 
 Skill : Python, ML/AI, LLM, frontend experience (React or Vue)
 
Role
 
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 in 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

To apply for this job email your details to navneet@fasthireinc.com

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