Lead Applied AI Engineer

Job Summary

Architect, build, deploy, and scale advanced enterprise AI solutions. Integrate:Generative AIAI agentsModern enterprise platformsDeliver production-grade AI systems supporting large-scale business operations. Ensure high standards for:SecurityReliabilityGovernanceResponsible AIScalabilityDefine enterprise AI engineering standards and best practices. Lead enterprise AI adoption. Mentor engineering teams. Work across:AI innovationEnterprise architecturePlatform engineeringResponsible AI governance

Primary Skills

• Generative AI Expertise
• Deep experience designing and deploying production-grade Generative AI solutions
• Strong experience with:Advanced RAG architecturesMulti-hop retrievalReasoning systemsAgent orchestration frameworksConversational AI platforms
• Technical Skills
• Python
• FastAPI
• React
• Distributed systems
• Vector databases
• Embedding models
• LLM APIs
• Agent orchestration frameworks
• Cloud-native architectures
• AI platform engineering
• Production AI deployment
• AI Engineering Best Practices
• Establish enterprise standards for:Prompt engineeringVersion controlTestingAI evaluationModel observabilityCost trackingPerformance trackingBenchmarkingData-driven optimization
• Responsible AI & Governance
• Strong understanding of:Responsible AIModel governanceRisk managementModel validationChange managementProduction monitoringDeployment practices in regulated environments

Required Qualifications

• 7+ years of software engineering experience with strong AI/ML focus
• Proven experience building and operating distributed systems at scale
• Demonstrated success delivering AI-driven business outcomes
• Experience leading large and complex technical initiatives
• Bachelor's degree in:Computer ScienceEngineeringData ScienceRelated discipline
• Equivalent practical experience may be considered

Technical Skills

• Generative AIAgentic AIRAG ArchitectureAI AgentsMulti-Agent SystemsPythonFastAPIVector DatabasesLLM IntegrationAI Platform EngineeringProduction AI DeploymentAI Evaluation FrameworksPrompt EngineeringObservability & MonitoringEnterprise Architecture

Preferred Qualifications

• Technical leadership across organizational boundaries
• Strong mentoring and coaching skills
• Ability to collaborate with:Product ManagementData ScienceEngineeringSecurityComplianceArchitectureBusiness stakeholders
• Experience in regulated industries preferred, including:HealthcareLife SciencesInsurance

Keywords

• AI Engineer
• Applied AI Engineer
• Lead AI Engineer
• Generative AI
• Agentic AI
• AI Agents
• RAG
• LLM
• LLM Integration
• Multi-Agent Systems
• Python
• FastAPI
• React
• Vector Databases
• Embedding Models
• Agent Orchestration Frameworks
• Cloud Native
• AI Platform Engineering
• Production AI Deployment
• AI Evaluation
• Prompt Engineering
• Observability & Monitoring
• Enterprise Architecture
• Responsible AI
• Model Governance
• Risk Management
• Model Validation
• Change Management
• Production Monitoring
• Deployment Practices
• Regulated Environments