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. - Driveproduct evolution 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 arelated field. - 5 - years of hands-on AI engineering (GenAI,Agents, LLMOps, MLOps, Data Science, CV, NLP, etc.). - 3 - years ofAI leadership experience with a dual focus on technical excellenceand product management (e.g., AI Product Owner/ AI ProductManager). - 3 - years managing/implementing MLOps inenterprise-scale AI/ML deployments. - 1 - years in Agentic AIimplementation/management (multi-agent systems, generative AI,LLMOps). - Proven ability to manage backlogs, prioritize features,and develop product roadmaps to drive effective execution andcontinuous improvement. - Experience leveraging customer feedbackand market insights (via surveys, usability tests, interviews) torefine product strategy and enhance offerings. - Proven ability tomanage and scale remote AI/ML teams (10 - members) in dynamic,high-pressure environments with strong delegation and conflictresolution. - Exceptional product management, resource planning,timeline management, risk mitigation, and cross-functionalalignment skills. - Outstanding communication and ethicalleadership with a commitment to accountability and continuousimprovement. - Proven ability to operationalize AI productmanagement using tools like Jira and Confluence. - Proficiency inEnglish at a C2 level. Preferred Qualifications: - Master’s, PhD,or MBA in AI. - Solid background in cloud-native environments(e.g., AWS/Azure/GCP containerization, infrastructure as code). -Hands-on experience taking AI Agents to production. - Deepunderstanding of Agents (RAG, LLM best practices, security, memorymanagement, failure points). - Experience with DevOps practices,including CI/CD, containerization (e.g., Docker, Kubernetes) andinfrastructure as code (e.g., Terraform, Pulumi). - Experience withbig data architectures on cloud platforms (e.g., EMR, Kafka,microservices, streaming/batches). - Prior experience in fast-pacedstartups or high-growth tech companies. - Advanced proficiency inPython. - Prior experience as an AI Product Owner. - Advancedexpertise with LLMOps. - Strong first principles thinking andadherence 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