Cloud AI/ML Technical Project Manager

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Cloud AI/ML Technical Project Manager based in United States.

This remote role will lead the end-to-end delivery of complex cloud, AI/ML, and Generative AI initiatives.
You’ll bridge technical execution and project leadership, coordinating engineers, architects, developers, data scientists, and client stakeholders.
The position spans cloud migration and modernization, machine learning deployment, LLM solutions, containerization, APIs, microservices, and Kubernetes.
You’ll manage scope, schedules, budgets, risks, dependencies, and deliverables while keeping technical teams aligned with business objectives.
The role requires enough technical depth to understand architectures, read code, troubleshoot complex issues, and guide AI/ML delivery decisions.
You’ll work in an Agile, fast-moving environment where strong communication, structured problem-solving, and stakeholder management are essential.
This is an opportunity to influence high-impact technology programs while working across leading cloud and emerging AI technologies.

Accountabilities:

• Lead end-to-end delivery of cloud-based AI/ML and Generative AI projects, ensuring successful execution from planning through completion.
• Manage project scope, schedules, budgets, risks, dependencies, milestones, resources, and deliverables.
• Lead cross-functional technical teams and coordinate closely with project managers, cloud architects, engineers, developers, and data scientists.
• Drive Agile delivery practices and support initiatives involving Design Thinking, cloud migration, modernization, refactoring, containerization, APIs, microservices, and Kubernetes.
• Coordinate the delivery of AI/ML and Generative AI solutions using technologies such as LLMs, Google Vertex AI, Dialogflow, Gemini, AWS, and Azure.
• Monitor technical execution to ensure deliverables meet defined requirements, quality standards, timelines, and client expectations.
• Facilitate troubleshooting and resolution of complex cloud, application, infrastructure, and AI/ML issues, coordinating appropriate technical resources when required.
• Manage dependencies across technical workstreams and proactively identify risks, blockers, and opportunities to improve delivery.
• Communicate project status, technical considerations, risks, and recommendations clearly to stakeholders and leadership.
• Foster effective collaboration across diverse technical and business teams while maintaining accountability for project outcomes.

Requirements:

• 7–10 years of experience in technology, cloud solutions, technical project management, or a related field.
• 4+ years of experience with machine learning model development and deployment , with practical understanding of AI/ML delivery.
• 5+ years of experience troubleshooting and resolving complex technical issues across cloud, applications, infrastructure, or AI/ML environments.
• At least 5 years of experience reading code or working with system design .
• Hands-on project delivery experience with at least one major cloud platform, such as GCP, AWS, Azure, IBM Cloud, or Red Hat OpenShift .
• Strong knowledge of cloud technologies, Generative AI, LLMs, machine learning model development and deployment.
• Experience with Google Cloud AI/ML services such as Vertex AI, Dialogflow, and Gemini is highly relevant.
• Familiarity with AI/ML frameworks including PyTorch, TensorFlow, JAX, and/or Ray .
• Understanding of GPUs, TPUs, transformers, encoders, decoders, ML APIs, and core machine learning infrastructure.
• Strong knowledge of virtualization, containers, operating systems, system administration, Kubernetes, microservices, APIs, and cloud modernization.
• Ability to read and understand code in Python, Java, C/C++, Go, JavaScript, Shell , or similar programming languages.
• Strong technical troubleshooting, analytical, problem-solving, and systems-thinking abilities.
• Demonstrated experience leading cross-functional technical teams and complex cloud or AI/ML programs.
• Strong project management, leadership, communication, and stakeholder management skills.
• Bachelor's degree in Computer Science, Information Technology, Engineering, Business, or a related field preferred.
• Relevant cloud, AI/ML, or project management certifications are a plus.
• Excellent written and verbal English communication skills, with the ability to work professionally with diverse technical and business stakeholders.

Benefits:

• $45–$52 per hour expected base salary range.
• Fully remote position within the United States.
• 12-month engagement with the opportunity to contribute to complex cloud and AI/ML initiatives.
• Competitive benefits package in addition to base compensation.
• Exposure to leading cloud platforms, Generative AI, LLMs, machine learning, and cloud modernization technologies.
• Opportunity to collaborate with multidisciplinary technical teams and experienced client stakeholders.
• Professional environment focused on digital transformation, technical innovation, and career development.
• Compensation may vary based on relevant skills, training, experience, education, market factors, and applicable certifications or licensure.

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!

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.

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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.