Job description

Who You’ll Work With At Slalom, personal connection meets global scale. Our vision is to enable a world in which everyone loves their work and life. We help organizations of all kinds redefine what’s possible, give shape to the future—and get there. What You’ll Do Bring your expertise to help build or contribute on complex data and AI projects. What You’ll Bring • Completed Bachelor's or Master's degree with recent hands-on production experience in AI or data architecture • Strong experience in production RAG architectures including agentic RAG patterns • Experience with AI tooling and platforms such as OpenAI, Claude, LangChain, Open-source LLMs • Strong Cloud, DevOps, and infrastructure experience (AWS, GCP, or Azure) • Consulting experience preferred About Us Slalom is a fiercely human business and technology consulting company that leads with outcomes to bring more value, in all ways, always. From strategy through delivery, our agile teams across 52 offices in 12 countries partner with clients to co-create powerful customer experiences, modern ways of working, and meaningful impact. What sets us apart? We believe work should be challenging and fulfilling, not perfect, but possible. That’s why we prioritize purpose, flexibility, connection, and recognition, so our people can thrive and love what they do, most days. Compensation and Benefits Slalom prides itself on helping team members thrive in their work and life. As a result, Slalom is proud to invest in benefits that include meaningful time off and paid holidays, parental leave, 401(k) with a match, a range of choices for highly subsidized health, dental, and vision coverage, adoption and fertility assistance, and short- and long-term disability. We also offer a yearly $350 reimbursement account for well-being-related expenses, as well as discounted home, auto, and pet insurance. Slalom is committed to fair and equitable compensation practices. The targeted hourly pay range for this role is $60/HR to $90/HR. Actual compensation will depend on an individual’s skills, experience, qualifications, location, and other relevant factors. The hourly pay range is subject to change and may be modified at any time. We will accept applicants until the position is filled. We are committed to pay transparency and compliance with applicable laws. If you have questions or concerns about the pay range or other compensation information in this posting, please contact us at peopleone@slalom.com. Please note that this recipient is not able to support recruitment inquiries beyond this purpose. EEO and Accommodations Slalom is an equal opportunity employer and is committed to attracting, developing, and retaining highly qualified talent who empower our innovative teams through unique perspectives and experiences. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by federal, state, or local laws. Slalom will also consider qualified applicants with criminal histories, consistent with legal requirements. Slalom welcomes and encourages applications from individuals with disabilities. Reasonable accommodations are available for candidates during all aspects of the selection process. Please advise the talent acquisition team or contact accommodationrequest@slalom.com if you require an accommodation during the interview process. Locations: Houston, TX; Los Angeles, CA; Minneapolis, MN; New Brunswick, NJ; New York, NY; Orange County, CA; San Diego, CA

Requirements

Must-haves

Who You’ll Work With
What You’ll Do
Bring your expertise to help build or contribute on complex data and AI projects.
What You’ll Bring
Completed Bachelor's or Master's degree with recent hands-on production experience in AI or data architecture
Strong experience in production RAG architectures including agentic RAG patterns
Experience with AI tooling and platforms such as OpenAI, Claude, LangChain, Open-source LLMs
Strong Cloud, DevOps, and infrastructure experience (AWS, GCP, or Azure)

Nice-to-haves

Consulting experience preferred

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aiawsgcpazureagile

Platform: slalom
Effort: medium

Benefits

Benefits detected in the listing.

Dental

Vision

401(K)

Parental Leave