Lead Applied AI Engineer

Role: Lead Applied AI Engineer Location: New York, NY / Louisville, KY Salary Range: $120,000 - $150,000/Year Job Description We are seeking an accomplished Lead Applied AI Engineer to architect and deliver advanced AI systems that seamlessly integrate Generative AI capabilities, AI agents, and modern enterprise platforms. This role is responsible for designing, building, deploying, and scaling production-grade AI solutions that support large-scale business operations while maintaining high standards of security, reliability, governance, and responsible AI practices. The Lead Applied AI Engineer will define technical standards, lead enterprise AI adEligible to workion, establish engineering best practices, and mentor engineering teams. This position operates at the intersection of AI innovation, enterprise architecture, platform engineering, and responsible AI governance. Key Responsibilities AI Solution Architecture Architect comprehensive end-to-end AI systems including: Advanced RAG (Retrieval-Augmented Generation) pipelines Multi-stage retrieval and re-ranking architectures Agent orchestration frameworks coordinating multiple specialized agents Multi-model AI integrations leveraging model-specific strengths Design solutions with modularity, extensibility, scalability, and operational excellence to support evolving business requirements. AI Engineering Standards & Eligible to workimization Define enterprise standards for: Prompt engineering Prompt templates and versioning Testing methodologies Evaluation frameworks Establish performance Eligible to workimization strategies covering: Model selection criteria Caching patterns Resource utilization Cost Eligible to workimization Production Deployment & Reliability Lead deployment of AI solutions into production environments with: Comprehensive observability Logging and tracing Reliability engineering practices Graceful degradation mechanisms Circuit breaker implementation Real-time monitoring dashboards Automated alerting Incident response procedures Ensure AI services meet stringent service-level objectives and enterprise reliability expectations. Data & Retrieval Architecture Design scalable data ingestion frameworks that process: Structured data sources Unstructured documents Real-time event streams Develop: Vector database architectures Hybrid search capabilities Data preprocessing pipelines Data quality monitoring frameworks Ensure high-quality inputs for AI systems through cleansing, enrichment, and governance processes. AI Evaluation & Continuous Improvement Establish quantitative evaluation frameworks for AI systems. Implement: A/B testing capabilities Performance benchmarking User feedback analysis Telemetry-based Eligible to workimization Drive continuous improvements across: Prompts Retrieval strategies Agent workflows Model configurations Skills: Artificial Intelligence Disclaimer: Diverse Lynx LLC is an Equal Opportunity Employer. All applicants and employees are evaluated without discrimination, based solely on their qualifications, ability, competence and performance. This email and its attachments may contain confidential or proprietary information and is intended only for the recipient(s). If you received this message in error, please disregard it and notify the sender. If you no longer wish to receive our communications, you may unsubscribe at any time. Security Notice : Our official website is We do not operate or authorize any other websites representing Diverse Lynx LLC. Diverse Lynx