AI Engineering Manager BR

Title: AI Engineering Manager 

Job Type: Full-Time

Location: Remote

Company Description:

Mechanized AI is at the forefront of AI innovation, leveraging cutting-edge technology to transform legacy systems into modern, efficient, and scalable solutions. We work with enterprise clients to breathe life into their existing software, ensuring that they can meet the demands of today’s fast-paced, digital landscape. Our team thrives on solving complex challenges and delivering innovative solutions. As an organization, we are committed to fostering an environment that encourages creativity, collaboration, and continuous learning.

Job Summary:

We are seeking an experienced AI Engineering Manager to lead our AI/ML Data Engineering team and collaborate with Cloud, Frontend, Backend, and DevSecOps teams. Reporting to the Chief AI Officer (CAIO), this role balances technical vision and leadership with operational execution.

The AI Engineering Manager will drive AI solution development, apply the scientific process to product improvement, and ensure clear communication across teams and leadership. They will oversee technical design & project timelines, manage requirements and features, delegate tasks, track progress, and ensure on-time delivery while mentoring talent and managing stakeholder expectations.

This hands-on leader will manage complex AI product lifecycles in a fast-paced startup, ensuring we deliver unique value to enterprise clients and strengthen our industry leadership.

Key Responsibilities:

• Recruit, mentor, and develop a high-performing, diverse AI/ML and Data engineering team—fostering collaboration, continuous learning, and clear performance metrics to drive retention in a fast-paced environment
• Champion technical excellence by applying first principles thinking and data-driven problem solving, enforcing rigorous code reviews, automated testing, and comprehensive documentation while promoting Agentic, MLOps, and LLMOps best practices
• Implement Agile methodologies to conduct regular gap analyses and risk assessments, transforming process deficiencies into stable processes
• Collaborate with the CAIO to define and execute a technical roadmap that balances cutting-edge AI product development with enterprise-grade reliability, security, and performance, while integrating emerging trends
• Oversee the entire AI product lifecycle—from proof-of-concept through production deployment, monitoring, and iterative improvement—ensuring alignment with business objectives, client needs, and industry standards
• Manage product timelines, resource allocation, and deliverables through effective task management, delegation, and milestone tracking, while maintaining high team morale
• Serve as an AI liaison for internal stakeholders, proactively communicating progress, identifying risks, and diffusing tensions through transparent documentation and open dialogue
• Embrace a product owner mindset to prioritize tasks and manage the product backlog, aligning technical development with strategic business goals
• Drive product evolution by providing insights on scalable architecture, governance, and advanced LLM/Agentic techniques, shaping a forward-thinking AI vision that anticipates future trends
• Establish and monitor clear KPIs and performance metrics through regular reviews and retrospectives to ensure accountability and continuous improvement
• Foster cross-functional collaboration across Data, AI, Backend, DevSecOps, QA, and Frontend teams via structured communication and transparent reporting, ensuring cohesive alignment across the organization
• Cultivate innovation by promoting experimentation, calculated risk-taking, and continuous feedback loops that leverage data analytics to refine models, processes, and products

Required Skills & Experience:

• Bachelor’s in Computer Science, Software Engineering, or a related field
• 5+ years of hands-on AI engineering (GenAI, Agents, LLMOps, MLOps, Data Science, CV, NLP, etc.)
• 3+ years of AI leadership experience with a dual focus on technical excellence and product management (e.g., AI Product Owner/ AI Product Manager)
• 3+ years managing/implementing MLOps in enterprise-scale AI/ML deployments
• 1+ years in Agentic AI implementation/management (multi-agent systems, generative AI, LLMOps)
• Proven ability to manage backlogs, prioritize features, and develop product roadmaps to drive effective execution and continuous improvement
• Experience leveraging customer feedback and market insights (via surveys, usability tests, interviews) to refine product strategy and enhance offerings
• Proven ability to manage and scale remote AI/ML teams (10+ members) in dynamic, high-pressure environments with strong delegation and conflict resolution
• Exceptional product management, resource planning, timeline management, risk mitigation, and cross-functional alignment skills
• Outstanding communication and ethical leadership with a commitment to accountability and continuous improvement
• Proven ability to operationalize AI product management using tools like Jira and Confluence
• Proficiency in English 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
• Deep understanding of Agents (RAG, LLM best practices, security, memory management, failure points)
• Experience with DevOps 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 in fast-paced startups or high-growth tech companies
• Advanced proficiency in Python
• Prior experience as an AI Product Owner
• Advanced expertise with LLMOps
• Strong first principles thinking and adherence to AI development best practices
• High-level understanding of UX best practices
• A passion for continuous learning and staying current with emerging AI trends, cloud-native architectures, and innovative deployment methodologies

Contact:

Virginia King
Recruiter
Mechanized AI