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

They are seeking an experienced Modernization Technical Project Manager (TPM) to join their dynamic team.

The TPM will collaborate closely with clients and internal team members to drive the successful delivery of Mechanized AI’s infrastructure and application modernization projects. The ideal candidate will have a blend of strong technical expertise, exceptional project management skills, and a strong understanding of AI and machine learning technologies.

Important: This position is full-time and the company is searching for candidates from LATAM

• Bachelor’s degree in computer science, software engineering or related field
• 4+ years of experience as a Modernization TPM in a client-facing role or consulting environment
• 3+ years of recent (last 10 years), hands-on experience as a software developer working with legacy code bases (e.g., .NET, Visual Basic, COBOL, Java)
• Proven experience planning and executing modernization/migration projects from legacy tech stacks to modern tech stacks
• Understanding of AI/ML concepts, tools, and practical applications
• Proven ability to gather and document technical requirements and translate them into actionable tasks for engineering teams
• Proficiency with project management tools (e.g., Trello, Jira) and Agile methodologies (e.g., Scrum, Kanban, XP)
• Experience overseeing modernization project timelines, resource allocations
• Strong problem-solving skills and ability to manage multiple priorities in fast-paced environment
• Excellent communication and interpersonal skills, with the ability to work effectively across technical and non-technical teams
• C1/C2 (advanced/proficient) level English is required

Experience in any of the following is preferred, not required:

• Strong understanding of legacy code patterns, standards, and antipatterns
• Strong understanding of modern code patterns, standards, antipatterns, and architecture
• 1+ year working in AI/ML related projects and with Data Scientists
• Some experience with Generative AI and LLMs
• Experience with cloud platforms (e.g., AWS, Azure, or Google Cloud)
• Project management certifications (e.g., PMP, Agile Scrum Master)

• Manage end-to-end delivery of Mechanized AI infrastructure and application modernization projects
• Oversee the migration of virtual machines (VMs) to containers and the modernization of legacy applications (e.g., .NET, COBOL, Java) to modern technology stacks
• Coordinate the integration of generative AI capabilities into clients’ modernization efforts, ensuring seamless adoption
• Collaborate with enterprise clients to gather technical and functional requirements and translate them into actionable plans for the technical team
• Develop and maintain project scope, timelines, deliverables, budgets, and resource plans to ensure on-time, on-budget delivery of modernization projects
• Serve as the primary contact between clients and internal teams, ensuring clear communication and alignment on project goals
• Lead cross-functional project teams, delegating tasks effectively and aligning resources with project goals
• Engage with AI and LLM (Large Language Model) teams to improve automation, documentation, and code modernization outcomes
• Establish and maintain best practices to ensure code quality, security, and compliance with organizational and industry standards
• Identify risks, issues, and dependencies, and develop mitigation strategies to keep projects on track
• Facilitate regular status meetings and provide detailed project updates to internal and external stakeholders (technical and non-technical)
• Foster a culture of continuous improvement, knowledge sharing, and feedback loops among project teams. Continually refine project workflows and delivery processes, leveraging lessons learned and stakeholder feedback

1. Intro conversation with Mechanized AI Recruiter
2. Interview with Senior AI Engineer
3. Interview with CTO
4. Interview with Chief AI Officer and COO
5. Final interview with CEO