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Lead AI Engineer

SoTalent · Springfield, MA

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Lead AI Engineer📍 Location: Springfield, MA, US🏢 Industry: Financial services💼 Work Setting: HybridAre you passionate about building enterprise-scale AI systems, advancing Generative AI capabilities, and transforming cutting-edge research into real business impact?We are seeking an experienced Lead AI Engineer to drive the design, development, deployment, and scaling of advanced AI solutions across the enterprise. This role combines AI architecture, machine learning engineering, applied research, software engineering, and technical leadership to deliver innovative solutions powered by Large Language Models (LLMs), Agentic AI, machine learning, and probabilistic modeling.The ideal candidate is a hands-on technical leader who can architect production-grade AI systems, influence enterprise AI strategy, mentor engineers and data scientists, and translate complex AI innovations into measurable business outcomes.Key ResponsibilitiesAI Architecture & Solution DeliveryLead the end-to-end design, development, deployment, and operation of enterprise AI solutions.Architect scalable AI applications utilizing:Generative AILarge Language Models (LLMs)Agentic AI SystemsMachine Learning ModelsProbabilistic Modeling TechniquesDefine technical architecture, integration patterns, and deployment strategies.Ensure solutions meet requirements for:ReliabilityScalabilitySecurityMaintainabilityPerformanceGenerative AI & Agentic AI EngineeringDesign and implement advanced AI systems powered by foundation models and agent frameworks.Build intelligent workflows that leverage:Multi-Agent ArchitecturesAutonomous ReasoningTool Invocation FrameworksRetrieval-Augmented Generation (RAG)Workflow AutomationDevelop standards for prompt engineering, evaluation, orchestration, and model governance.Establish best practices for responsible and secure AI deployments.AI Experimentation & EvaluationDesign rigorous evaluation frameworks for AI and machine learning systems.Perform:BenchmarkingModel ComparisonsA/B TestingQuantitative Performance AnalysisLLM EvaluationAssess model quality, accuracy, safety, and business impact.Drive data-driven technical decisions through scientific experimentation.Applied Research & InnovationMonitor emerging developments in:Generative AIFoundation ModelsAgentic SystemsMachine LearningNatural Language ProcessingEvaluate new technologies and determine applicability to business challenges.Translate research breakthroughs into practical enterprise solutions.Establish innovation practices and AI engineering standards across the team.Rapid Prototyping & ProductizationCreate proof-of-concepts and prototypes to validate AI opportunities.Quickly evaluate feasibility, business value, and technical viability.Transition successful experiments into production-ready applications.Deliver AI-powered products such as:Intelligent AssistantsChatbotsKnowledge PlatformsDecision-Support SystemsAutomated WorkflowsAnalytics ApplicationsAI Engineering & Platform IntegrationPartner with engineering teams to operationalize AI solutions.Build APIs, services, pipelines, and integration frameworks.Ensure AI systems integrate seamlessly with enterprise applications and platforms.Support model deployment, monitoring, versioning, and lifecycle management.Promote software engineering best practices throughout AI development.Leadership & Strategic InfluenceServe as a trusted advisor to senior leadership on AI strategy and opportunities.Align AI initiatives with organizational priorities and business objectives.Present complex technical concepts to executive audiences in an actionable manner.Influence architecture decisions and enterprise technology roadmaps.Advocate for responsible AI development and governance.Mentorship & Team DevelopmentCoach and mentor AI engineers, data scientists, and technical team members.Foster a culture of:Technical ExcellenceScientific RigorInnovationKnowledge SharingContinuous LearningParticipate in hiring and talent development efforts.Raise engineering standards across the AI organization.QualificationsRequired Experience7+ years of experience in:Artificial IntelligenceMachine LearningData ScienceAI EngineeringProven record designing and deploying enterprise-scale AI solutions.Experience leading AI initiatives from concept through production deployment.Strong background delivering measurable business outcomes through AI.Required Technical ExpertiseArtificial Intelligence & Machine LearningGenerative AILarge Language Models (LLMs)Agentic AIMachine LearningNatural Language Processing (NLP)Probabilistic ModelingStatistical AnalysisModel Evaluation & BenchmarkingSoftware EngineeringPythonProduction Software DevelopmentAPI DevelopmentDistributed SystemsSystem DesignTest AutomationVersion ControlInfrastructure & DeploymentDockerKubernetesModel Serving PlatformsAI Deployment FrameworksObservability & MonitoringCloud-Native ArchitecturesEducationMaster's Degree or Ph.D. in:Computer ScienceStatisticsApplied MathematicsElectrical EngineeringPhysicsArtificial IntelligenceRelated Quantitative DisciplinePreferred QualificationsAgentic AI & Emerging TechnologiesExperience with:AWS Bedrock AgentCoreAWS StrandsAzure AI EcosystemMCP ProtocolAgent-to-Agent (A2A) FrameworksEnterprise AI & GovernanceExperience deploying AI solutions within regulated industries.Understanding of:Compliance RequirementsPrivacy RegulationsResponsible AI FrameworksModel GovernanceAdvanced AnalyticsCausal InferenceBayesian StatisticsOptimization MethodsAdvanced Machine LearningDecision SciencesData Platforms & Search TechnologiesSQLDatabase DesignVector DatabasesSemantic SearchRAG ArchitecturesCloud Data PlatformsResearch & Technical LeadershipPublished ResearchOpen Source ContributionsIndustry Thought LeadershipScientific InnovationCore CompetenciesAI Engineering LeadershipLarge Language Models (LLMs)Generative AIAgentic AIApplied Machine LearningNatural Language ProcessingAI ArchitectureProduction AI SystemsRetrieval-Augmented Generation (RAG)AI Evaluation & BenchmarkingCloud AI PlatformsSoftware EngineeringExperiment DesignTechnical LeadershipExecutive CommunicationAI GovernanceTeam Mentorship