Enterprise AI Lead
$150,000–$190,000 year
On-siteTysons, Virginia, United States
Job Summary
Design and build enterprise AI/LLM platforms, including model access layers, orchestration, prompt management, and evaluation capabilities. Develop and deploy AI agents and orchestration frameworks to automate workflows, while architecting RAG pipelines and secure data integration patterns. Build and operate MLOps pipelines supporting model deployment, monitoring, and lifecycle management, alongside production-grade AI-enabled applications integrated into real operational workflows. Define AI strategy and governance with enforceable standards, establishing model assurance, risk management practices, and guardrails. Lead rapid prototyping to turn emerging capabilities into deployable solutions and evolve an AI enablement platform with reusable services and implementation playbooks. Enable internal teams through these platforms and contribute to enterprise BI and analytics capabilities.
Required Qualifications
- Strong experience building and operating platforms or infrastructure systems, with a shift into AI/ML or data platforms
- Hands-on experience developing and deploying AI/LLM-based systems in production
- Experience with LLMs, RAG architectures, embeddings, and agent-based systems
- Experience building or operating AI/LLM platforms, internal developer platforms, or shared services
- Strong experience with data engineering and pipeline development
- Experience with MLOps practices, including model lifecycle management, deployment, and monitoring
- Proficiency in backend development (Python, Node.js, or similar) and API design
- Experience working in cloud environments (AWS, Azure, or GCP) with distributed systems
- Strong understanding of system design, scalability, and operational reliability
- Familiarity with secure or regulated environments and data protection requirements
- Ability to operate both hands-on as a builder and strategically as a technical leader
- Applicants must meet eligibility requirements for a U.S. Government security clearance
- Only US Citizens are eligible for a security clearance
- For this position, LMI will only consider applicants with security clearances or applicants who are eligible for security clearances
Desired Qualifications
- Background in platform engineering, DevSecOps, or infrastructure engineering
- Experience designing multi-tenant AI platforms or enterprise AI services
- Familiarity with agent orchestration frameworks such as LangChain, LlamaIndex, Semantic Kernel, or similar
- Experience with vector databases and semantic search systems
- Experience implementing AI governance, guardrails, and model assurance practices
- Experience integrating AI into enterprise applications, workflows, or operational systems
- Experience supporting analytics platforms, data warehouses, or enterprise BI systems
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