Title: AI Engineering Manager Job Type: Full-TimeLocation: Remote Company Description: Mechanized AI is at theforefront of AI innovation, leveraging cutting-edge technology totransform legacy systems into modern, efficient, and scalablesolutions. We work with enterprise clients to breathe life intotheir existing software, ensuring that they can meet the demands oftoday’s fast-paced, digital landscape. Our team thrives on solvingcomplex challenges and delivering innovative solutions. As anorganization, we are committed to fostering an environment thatencourages creativity, collaboration, and continuous learning. JobSummary: We are seeking an experienced AI Engineering Manager tolead our AI/ML Data Engineering team and collaborate with Cloud,Frontend, Backend, and DevSecOps teams. Reporting to the Chief AIOfficer (CAIO), this role balances technical vision and leadershipwith operational execution. The AI Engineering Manager will driveAI solution development, apply the scientific process to productimprovement, and ensure clear communication across teams andleadership. They will oversee technical design & projecttimelines, manage requirements and features, delegate tasks, trackprogress, and ensure on-time delivery while mentoring talent andmanaging stakeholder expectations. This hands-on leader will managecomplex AI product lifecycles in a fast-paced startup, ensuring wedeliver unique value to enterprise clients and strengthen ourindustry leadership. Key Responsibilities: - Recruit, mentor, anddevelop a high-performing, diverse AI/ML and Data engineeringteam—fostering collaboration, continuous learning, and clearperformance metrics to drive retention in a fast-paced environment - Champion technical excellence by applying first principlesthinking and data-driven problem solving, enforcing rigorous codereviews, automated testing, and comprehensive documentation whilepromoting Agentic, MLOps, and LLMOps best practices - ImplementAgile methodologies to conduct regular gap analyses and riskassessments, transforming process deficiencies into stableprocesses - Collaborate with the CAIO to define and execute atechnical roadmap that balances cutting-edge AI product developmentwith enterprise-grade reliability, security, and performance, whileintegrating emerging trends - Oversee the entire AI productlifecycle—from proof-of-concept through production deployment,monitoring, and iterative improvement—ensuring alignment withbusiness objectives, client needs, and industry standards - Manageproduct timelines, resource allocation, and deliverables througheffective task management, delegation, and milestone tracking,while maintaining high team morale - Serve as an AI liaison forinternal stakeholders, proactively communicating progress,identifying risks, and diffusing tensions through transparentdocumentation and open dialogue - Embrace a product owner mindsetto prioritize tasks and manage the product backlog, aligningtechnical development with strategic business goals - Drive productevolution by providing insights on scalable architecture,governance, and advanced LLM/Agentic techniques, shaping aforward-thinking AI vision that anticipates future trends -Establish and monitor clear KPIs and performance metrics throughregular reviews and retrospectives to ensure accountability andcontinuous improvement - Foster cross-functional collaborationacross Data, AI, Backend, DevSecOps, QA, and Frontend teams viastructured communication and transparent reporting, ensuringcohesive alignment across the organization - Cultivate innovationby promoting experimentation, calculated risk-taking, andcontinuous feedback loops that leverage data analytics to refinemodels, processes, and products Required Skills & Experience: -Bachelor’s in Computer Science, Software Engineering, or a relatedfield - 5 - years of hands-on AI engineering (GenAI, Agents, LLMOps,MLOps, Data Science, CV, NLP, etc.) - 3 - years of AI leadershipexperience with a dual focus on technical excellence and productmanagement (e.g., AI Product Owner/ AI Product Manager) - 3 - yearsmanaging/implementing MLOps in enterprise-scale AI/ML deployments -1 - years in Agentic AI implementation/management (multi-agentsystems, generative AI, LLMOps) - Proven ability to managebacklogs, prioritize features, and develop product roadmaps todrive effective execution and continuous improvement - Experienceleveraging customer feedback and market insights (via surveys,usability tests, interviews) to refine product strategy and enhanceofferings - Proven ability to manage and scale remote AI/ML teams(10 - members) in dynamic, high-pressure environments with strongdelegation and conflict resolution - Exceptional productmanagement, resource planning, timeline management, riskmitigation, and cross-functional alignment skills - Outstandingcommunication and ethical leadership with a commitment toaccountability and continuous improvement - Proven ability tooperationalize AI product management using tools like Jira andConfluence - Proficiency in English at a C2 level PreferredQualifications: - Master’s, PhD, or MBA in AI - Solid background incloud-native environments (e.g., AWS/Azure/GCP containerization,infrastructure as code). - Hands-on experience taking AI Agents toproduction - Deep understanding of Agents (RAG, LLM best practices,security, memory management, failure points) - Experience withDevOps practices, including CI/CD, containerization (e.g., Docker,Kubernetes) and infrastructure as code (e.g., Terraform, Pulumi) -Experience with big data architectures on cloud platforms (e.g.,EMR, Kafka, microservices, streaming/batches) - Prior experience infast-paced startups or high-growth tech companies - Advancedproficiency in Python - Prior experience as an AI Product Owner -Advanced expertise with LLMOps - Strong first principles thinkingand adherence to AI development best practices - High-levelunderstanding of UX best practices - A passion for continuouslearning and staying current with emerging AI trends, cloud-nativearchitectures, and innovative deployment methodologies Contact:Gabriel Martinez Recruiter Mechanized AI#J-18808-Ljbffr Engineering