Senior AI/ML Cloud Developer

Protiviti

AI Cloud Developer Senior Consultant at Protiviti, providing AI solutions for diverse clients. Work involves hands-on development of AI systems and collaboration with stakeholders across projects.

Posted 7/14/2026full-timeNew York City • California, New York, Washington • 🇺🇸 United StatesSenior💰 $110,000 - $164,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing end-to-end AI solutions using cloud platforms and advanced analytics. Proficient in programming languages and frameworks essential for AI development, with a strong focus on generative models and machine learning.

Highest-signal resume keywords

AI Solution DevelopmentCloud Services (AWS, Azure, Google Cloud)Generative Artificial IntelligencePython ProgrammingTensorFlow Framework

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI DevelopmentMachine Learning ModelsAdvanced AnalyticsPythonRSQLTensorFlowPyTorchScikit-learnGenerative Models

Soft Skills

CollaborationInnovation

Tools & Technologies

AWSMicrosoft AzureGoogle CloudAI Technologies

Certifications & Qualifications

AWS Certified Solutions ArchitectAzure Solutions Architect

Industry Keywords

Cloud InfrastructureAI TechnologiesBusiness SolutionsTechnology ProjectsPrototyping

Tech Stack

Tools & technologies

AWSAzureCloudPythonPyTorchScikit-LearnSQLTensorflow

About the role

Key responsibilities & impact

Hands-on development of end-to-end AI solutions to solve complex business problems
Cloud services and infrastructure with platforms such as AWS, Microsoft Azure, or Google Cloud
Built or deployed systems powered by LLMs or generative models
Proficiency in programming languages for AI development such as Python, R, or SQL
Experience with libraries/frameworks such as TensorFlow, PyTorch, Scikit-learn
Collaborate with internal stakeholders to create AI-enabled solutions for repeatable business problems
Foster innovation by identifying new AI technologies or methodologies

Requirements

What you’ll need

Bachelor’s degree in relevant discipline (Computer Science or related field)
2+ years working on designing and deploying technology projects involving advanced analytics or machine learning models
A minimum of 1-year hands-on experience with Generative Artificial Intelligence technology experimentation, prototyping, solutioning and deployment
Familiarity with cloud-based AI technologies and platforms is strongly preferred
Professional Certification such as AWS Certified Solutions Architect or Azure Solutions Architect are preferred.

Benefits

Comp & perks

Medical, dental, and vision coverages
FSA and HSA healthcare accounts
Life and accident insurance
Adoption and fertility assistance
Paid parental leave up to 10 weeks
Short/long term disability
401(k) savings and investment plan with 50% employer match on the first 6% of contributions
Choice Time Off (CTO) for vacation, personal needs, and sick time
Up to 20 days of CTO per calendar year
Up to 11 paid holidays each calendar year