{"schemaVersion":"jobsearcher.job.v1","id":"2e05d32fb880e0d843a812ff","url":"https://jobsearcher.com/jobs/2e05d32fb880e0d843a812ff","canonicalUrl":"https://jobsearcher.com/jobs/2e05d32fb880e0d843a812ff","title":"Lead AI Engineer","description":"Key ResponsibilitiesWe are seeking an experienced Lead AI Engineer to lead strategic AI initiatives at a customer location. This role combines deep technical expertise in Generative AI, Agentic AI, Machine Learning, and AI Platform Engineering with the ability to engage senior stakeholders, define AI roadmaps, architect enterprise solutions, and lead delivery teams.The successful candidate will act as the primary AI technical lead, driving the design, development, deployment, and operationalization of business-critical AI solutions while ensuring alignment with customer objectives and enterprise standards.Required QualificationsMinimum 8+ years of experience in machine learning engineering and AI development, including 2+ years in a technical lead or team lead capacityProven track record of leading ML/AI projects end-to-end and mentoring engineersDemonstrated experience in client-facing or consulting roles, including managing senior stakeholders and serving as a technical advisorStrong stakeholder-management skills: gathering and clarifying requirements, setting expectations, managing scope, and building long-term trust with customersExcellent verbal and written communication, with the ability to present complex technical concepts and trade-offs to non-technical and executive audiencesDeep expertise in machine learning algorithms and techniques: supervised/unsupervised learning, deep learning, reinforcement learning, etc.Solid experience in natural language processing (NLP): language models, text generation, sentiment analysis, etc.Proven understanding of generative AI concepts: text/image/audio synthesis, diffusion models, transformers, etc.Expertise in Agentic AI and building production-grade real-world applications using itHands-on experience with Agentic AI frameworks such as LangGraph, ADK, Autogen, etc.Hands-on experience developing and deploying generative AI applications (text generation, conversational AI, image synthesis, etc.)Strong experience in MLOps and ML model deployment pipelines, including defining standards and best practices for a teamProficiency in Python and ML frameworks such as TensorFlow, PyTorch, etc.Knowledge of cloud platforms (AWS, GCP, Azure) and tools for scalable ML solution deploymentExperience with data processing, feature engineering, and model training on large datasetsFamiliarity with responsible AI practices, AI ethics, model governance, and risk mitigationStrong grasp of software engineering best practices and their application to ML systemsExperience driving delivery within an agile development environmentExposure to tools/frameworks for monitoring and analyzing ML model performance and data accuracyStrong problem-solving and analytical abilitiesBachelor's or master's degree in Computer Science, AI, Statistics, Math, or related fieldsWillingness and ability to work on-site at the client's officeProven experience working in an onshore/offshore delivery model — coordinating distributed teams across geographies and time zonesResponsibilitiesClient Engagement & Stakeholder ManagementServe as the primary technical point of contact and trusted advisor at the client's officeEngage senior client stakeholders to understand business goals, gather requirements, and shape the AI/ML roadmapManage scope, timelines, expectations, and risks; proactively communicate progress, trade-offs, and blockersTranslate ambiguous business problems into well-defined technical solutions and clear delivery plansPresent designs, outcomes, and recommendations to technical and executive audiences; influence decisions and build consensusIdentify opportunities to expand value delivered to the customerTechnical Leadership & StrategyDefine the technical vision, architecture, and roadmap for ML/AI initiatives across the client's domainsSet engineering standards and best practices for model development, MLOps, and responsible AIEvaluate and select frameworks, tools, and platforms; make build-vs-buy and design trade-off decisions balancing performance, scalability, cost, and reliabilityTeam Leadership & MentorshipLead, mentor, and grow a team of ML/AI engineers; conduct design and code reviewsPlan, prioritize, and delegate work; track progress and remove blockersFoster a culture of technical excellence, knowledge-sharing, and continuous learningDelivery & ExecutionDesign, develop, and optimize machine learning models for applications across different domainsOversee the build of NLP pipelines for tasks like text generation, summarization, translation, etc.Drive the development and deployment of cutting-edge generative AI and Agentic AI applicationsEstablish and govern MLOps practices: model training, evaluation, deployment, monitoring, and maintenanceIntegrate ML capabilities into existing products or lead the creation of new AI-powered applicationsEnsure robust data mining, cleaning, preparation, and augmentation for training reliable ML modelsOwn model performance, scalability, and reliability across the production lifecycleInnovationContinuously research, evaluate, and introduce state-of-the-art AI/ML algorithms and techniquesChampion responsible AI, model governance, and risk mitigation across the team's work","company":"Synstack Technologies","rawCompany":"synstack technologies","city":"Millbrae","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-07-18T13:36:05.649Z","occupations":[{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"11-9041.00","title":"Architectural and Engineering Managers","slug":"architectural-and-engineering-managers"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541690","title":"Other Scientific and Technical Consulting Services","slug":"other-scientific-and-technical-consulting-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Lead AI Engineer","description":"Key ResponsibilitiesWe are seeking an experienced Lead AI Engineer to lead strategic AI initiatives at a customer location. This role combines deep technical expertise in Generative AI, Agentic AI, Machine Learning, and AI Platform Engineering with the ability to engage senior stakeholders, define AI roadmaps, architect enterprise solutions, and lead delivery teams.The successful candidate will act as the primary AI technical lead, driving the design, development, deployment, and operationalization of business-critical AI solutions while ensuring alignment with customer objectives and enterprise standards.Required QualificationsMinimum 8+ years of experience in machine learning engineering and AI development, including 2+ years in a technical lead or team lead capacityProven track record of leading ML/AI projects end-to-end and mentoring engineersDemonstrated experience in client-facing or consulting roles, including managing senior stakeholders and serving as a technical advisorStrong stakeholder-management skills: gathering and clarifying requirements, setting expectations, managing scope, and building long-term trust with customersExcellent verbal and written communication, with the ability to present complex technical concepts and trade-offs to non-technical and executive audiencesDeep expertise in machine learning algorithms and techniques: supervised/unsupervised learning, deep learning, reinforcement learning, etc.Solid experience in natural language processing (NLP): language models, text generation, sentiment analysis, etc.Proven understanding of generative AI concepts: text/image/audio synthesis, diffusion models, transformers, etc.Expertise in Agentic AI and building production-grade real-world applications using itHands-on experience with Agentic AI frameworks such as LangGraph, ADK, Autogen, etc.Hands-on experience developing and deploying generative AI applications (text generation, conversational AI, image synthesis, etc.)Strong experience in MLOps and ML model deployment pipelines, including defining standards and best practices for a teamProficiency in Python and ML frameworks such as TensorFlow, PyTorch, etc.Knowledge of cloud platforms (AWS, GCP, Azure) and tools for scalable ML solution deploymentExperience with data processing, feature engineering, and model training on large datasetsFamiliarity with responsible AI practices, AI ethics, model governance, and risk mitigationStrong grasp of software engineering best practices and their application to ML systemsExperience driving delivery within an agile development environmentExposure to tools/frameworks for monitoring and analyzing ML model performance and data accuracyStrong problem-solving and analytical abilitiesBachelor's or master's degree in Computer Science, AI, Statistics, Math, or related fieldsWillingness and ability to work on-site at the client's officeProven experience working in an onshore/offshore delivery model — coordinating distributed teams across geographies and time zonesResponsibilitiesClient Engagement & Stakeholder ManagementServe as the primary technical point of contact and trusted advisor at the client's officeEngage senior client stakeholders to understand business goals, gather requirements, and shape the AI/ML roadmapManage scope, timelines, expectations, and risks; proactively communicate progress, trade-offs, and blockersTranslate ambiguous business problems into well-defined technical solutions and clear delivery plansPresent designs, outcomes, and recommendations to technical and executive audiences; influence decisions and build consensusIdentify opportunities to expand value delivered to the customerTechnical Leadership & StrategyDefine the technical vision, architecture, and roadmap for ML/AI initiatives across the client's domainsSet engineering standards and best practices for model development, MLOps, and responsible AIEvaluate and select frameworks, tools, and platforms; make build-vs-buy and design trade-off decisions balancing performance, scalability, cost, and reliabilityTeam Leadership & MentorshipLead, mentor, and grow a team of ML/AI engineers; conduct design and code reviewsPlan, prioritize, and delegate work; track progress and remove blockersFoster a culture of technical excellence, knowledge-sharing, and continuous learningDelivery & ExecutionDesign, develop, and optimize machine learning models for applications across different domainsOversee the build of NLP pipelines for tasks like text generation, summarization, translation, etc.Drive the development and deployment of cutting-edge generative AI and Agentic AI applicationsEstablish and govern MLOps practices: model training, evaluation, deployment, monitoring, and maintenanceIntegrate ML capabilities into existing products or lead the creation of new AI-powered applicationsEnsure robust data mining, cleaning, preparation, and augmentation for training reliable ML modelsOwn model performance, scalability, and reliability across the production lifecycleInnovationContinuously research, evaluate, and introduce state-of-the-art AI/ML algorithms and techniquesChampion responsible AI, model governance, and risk mitigation across the team's work","datePosted":"2026-07-18T13:36:05.649Z","dateModified":"2026-07-18T13:36:05.649Z","hiringOrganization":{"@type":"Organization","name":"Synstack Technologies","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Millbrae","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"2e05d32fb880e0d843a812ff"},"url":"https://jobsearcher.com/jobs/2e05d32fb880e0d843a812ff"}}