AI/ML Engineering Manager

This position is posted by Jobgether on behalf of a partner company. We are currently looking for an AI/ML Engineering Manager in Brazil.

In this role, you will lead a high-performing machine learning engineering team while also acting as a senior technical authority on complex AI and GenAI client engagements. You will operate at the intersection of people leadership, architecture design, and hands-on delivery, ensuring both team growth and technical excellence. Your work will directly influence how enterprise clients design, deploy, and scale production-ready ML systems on AWS. You will guide critical decisions across ML architecture, MLOps, and GenAI solutions while shaping best practices across the practice. This is a highly strategic and client-facing role where you will also contribute to pre-sales, solution design, and technical advisory. It’s an ideal opportunity for a leader who thrives in ambiguity, enjoys deep technical challenges, and is passionate about building impactful AI systems and strong engineering teams.

Accountabilities:* Lead, grow, and develop a team of ML engineers and architects, including hiring, performance management, and career development

• Define technical standards and ensure high-quality delivery across machine learning engagements

• Act as senior technical authority on client projects, guiding architecture decisions and solution design

• Lead end-to-end ML assessments, identifying opportunities and risks across data, infrastructure, and model lifecycle

• Drive pre-sales and solutioning efforts in collaboration with sales and delivery teams

• Oversee delivery of ML solutions from design to production, ensuring scalability, reliability, and maintainability

• Advise clients on MLOps, LLMOps, and production AI system design and operations

• Mentor engineers and contribute to building internal accelerators and reference architectures

• Ensure effective staffing alignment and support team utilization across engagements

• Support technical excellence through code reviews, architecture governance, and best practice adoption

Requirements:

• 10+ years of experience in machine learning or AI, including client-facing or consulting roles

• Proven experience in people management, including hiring, coaching, and performance management

• Deep expertise in AWS ML and GenAI ecosystem (e.g., SageMaker, Bedrock, ML pipelines)

• Strong experience designing and governing production-grade ML systems end-to-end

• Expertise across multiple ML domains (e.g., NLP, CV, classical ML, generative AI)

• Strong knowledge of MLOps/LLMOps, including deployment, monitoring, and lifecycle management

• Experience with foundation models, including fine-tuning, RAG, and agent-based architectures

• Ability to translate complex technical decisions into business value for executive stakeholders

• Experience working in ambiguous, fast-paced, client-driven environments

• Strong communication, leadership, and stakeholder management skills

Nice to have:

• AWS certifications (Machine Learning – Specialty, Solutions Architect – Professional)

• Experience building reusable ML frameworks, accelerators, or reference architectures

• Knowledge of responsible AI, governance, bias detection, and fairness frameworks

• Exposure to AIOps and AI-driven automation for observability and operations

Benefits:

• 100% remote work environment

• Flexible time off policy

• Competitive phantom equity program

• Paid certifications and exam reimbursements

• Annual learning and development budget

• Equipment and office stipend for home setup

• High-quality laptop and work tools provided

• Peer recognition and bonus programs

• Individualized professional development planning

• Opportunity to work with a global, highly skilled AI/ML team

• Up to 25% travel depending on project needs

**How Jobgether works:**We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1