Senior AI/ML Cloud Developer

Protiviti

AI Cloud Developer Senior Consultant designing and deploying advanced AI solutions at Protiviti. Collaborating on innovative projects across multiple cloud platforms and technologies.

Posted 7/14/2026full-timeChicago • Illinois, Pennsylvania, Texas • 🇺🇸 United StatesSenior💰 $103,000 - $155,000 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 programming languages, with a strong focus on security and ethical governance in AI applications. Proven ability to collaborate with stakeholders to create functional prototypes and implement advanced analytics and machine learning models.

Highest-signal resume keywords

AI Solution DevelopmentCloud Services (AWS, Azure, Google Cloud)Generative Artificial IntelligencePython ProgrammingAI Governance Principles

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI DevelopmentMachine LearningData HandlingPrototypingModel DeploymentSecurity ControlsEncryptionIdentity and Access ManagementAPI IntegrationAdvanced Analytics

Soft Skills

CollaborationProblem SolvingCommunication

Tools & Technologies

TensorFlowPyTorchScikit-learnLangchainCloud Platforms

Certifications & Qualifications

AWS Certified Solutions ArchitectAzure Solutions Architect

Industry Keywords

AI GovernanceEthical AIRegulatory ComplianceData PrivacyBusiness Problem Solving

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
Have built or deployed systems powered by LLMs or generative models and understand how model behaviour effects product experience
Proficiency in programming languages for AI development such as Python, R, or SQL, with experience in libraries/frameworks such as TensorFlow, PyTorch, Scikit-learn, Langchain, etc
Implementing required security and privacy controls when developing AI-enabled prototypes, including proper data handling, masking/anonymization, and secure storage based on defined standards
Applying cloud platform security features (e.g., encryption, identity and access management, secure API integrations) to ensure AI applications adhere to enterprise and regulatory requirements
Collaborating with internal stakeholders to create AI-enabled solutions for repeatable business problems and develop functional prototypes to validate feasibility and applicability of AI technologies to practical use cases and challenges
Establishing best practices in AI governance principles ensuring ethical use, transparency, risk management while delivering high-quality services to clients.

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
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 an employer match of 50% on the first 6% of contributions
Choice Time Off (CTO) for vacation, personal needs, and sick time (new hires receive up to 20 days of CTO per calendar year)
up to 11 paid holidays each calendar year