Senior AI ML Cloud Developer

About the role

The Protiviti Career provides the opportunity to learn, inspire, and advance within a collaborative and inclusive culture. We hire curious individuals for whom learning is a passion. We lean into our mission: We Care. We Collaborate. We Deliver.

Responsibilities

• 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 and understand how model behavior 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.
• Experience with big data technologies such as Hadoop and Spark.
• Implementing required security and privacy controls when developing AI-enabled prototypes, including proper data handling, masking/anonymization, and secure storage based on defined standards.
• Executing security-related tasks such as integrating authentication, enforcing role-based access, and configuring secure data pipelines as part of delivering production-ready AI solutions.
• Identifying and addressing security or privacy considerations during development and proactively collaborating with security stakeholders to validate implementation.
• Documenting security-relevant design decisions, data flows, and privacy considerations to support Responsible AI practices and audit transparency.
• 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.
• Fostering innovation by identifying new AI technologies or methodologies that can enhance current processes or solve new challenges.
• Establishing best practices in AI governance principles ensuring ethical use, transparency, risk management while delivering high-quality services to clients.

Requirements

• 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.

Qualifications

• Intellectually curious and enjoy continuous learning.
• Enjoy discussing technical and industry trends and seek opportunities to demonstrate AI technologies and enable both internal and external stakeholders.
• Excel at using storytelling techniques to bring AI concepts and ideas to life, making complex technologies accessible, and engaging diverse audiences.
• Participate in the initiation and development of new products and services.
• Understand the business environment and potential impact of Artificial Intelligence within industries.
• Contribute to a positive team culture that fosters open communication among all engagement team members.

Skills

• 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 and understand how model behavior 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.
• Experience with big data technologies such as Hadoop and Spark.
• Implementing required security and privacy controls when developing AI-enabled prototypes, including proper data handling, masking/anonymization, and secure storage based on defined standards.
• Executing security-related tasks such as integrating authentication, enforcing role-based access, and configuring secure data pipelines as part of delivering production-ready AI solutions.
• Identifying and addressing security or privacy considerations during development and proactively collaborating with security stakeholders to validate implementation.
• Documenting security-relevant design decisions, data flows, and privacy considerations to support Responsible AI practices and audit transparency.
• 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.
• Fostering innovation by identifying new AI technologies or methodologies that can enhance current processes or solve new challenges.
• Establishing best practices in AI governance principles ensuring ethical use, transparency, risk management while delivering high-quality services to clients.

Benefits

• M/F/Disability/Veteran
• Equal Opportunity Employer
• Background Check Required
• San Francisco Fair Chance Ordinance
• Los Angeles County Fair Chance Ordinance

Pay

$103,000.00 - $155,000.00

Schedule

Hybrid