Senior AI ML Cloud Developer

Senior AI Cloud Developer

Protiviti is looking for an AI Cloud Developer Senior Consultant to join our growing Artificial Intelligence team.

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.

At every level, we champion leaders who live in our values of integrity, inclusion, innovation, and commitment to success. Imagining our work as a journey, we believe integrity guides our way, inclusion moves us forward together, innovation creates new destinations, and our commitment to success empowers us to deliver on our vision to be the most trusted global consulting firm.

What Will Help You Be Successful

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

Do Your Talents Include the Following?

• 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 behavior effects product experience
• Proficiency in programming languages for AI development such as Python, R, or SQL, with experience in libraries/frameworks such as Tensor Flow, 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.
• 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.
• 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.

Your Educational and Professional Qualifications

• 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.

Our Hybrid Workplace

Protiviti practices a hybrid model, which is a combination of working in person with a purpose and working remotely. This model creates meaningful experiences for our people and our clients while offering a flexible environment. The ratio of remote to in-person requirements vary by client, project, team, and other business factors. Our people work both in person in local Protiviti offices and on client sites, which can include local or out-of-state travel based on our projects and client requests and commitments.

Starting salary is based on a full-time equivalent schedule. Placement in the range is dependent upon experience, skills and geographic work location. Below is the salary range for this job.

$ - $

Our annual bonus plan provides eligible employees additional cash and/or discretionary stock compensation opportunities. Below is the bonus target opportunity for this job.

10%

The total cash range is estimated from the…