Description and Requirements

Job Description

The AI Engineering Academy is Slalom's structured hiring and onboarding program for early-career engineers. Designed for the AI-native era of consulting, the Academy is an intensive learning program that prepares you to contribute to real client work confidently. During the Academy you will:

• Complete a four-week, immersive training bootcamp covering Slalom consulting foundations,product engineering and project deliveryfundamentals, and AI-enabled engineering standards
• Earnhyperscalerand partner certifications (AWS,GCP,Azureand others) that accelerate your readiness for deployment
• Shadow experienced engineers on live engagements, putting your learning into practice on real work
• Build a cohort community with fellow early-career engineers across the US and Canada

Who You'll Work With

As an Engineer joining our Americas Engineering organization, you will work with our Cloud-Build and Data teams, delivering modern engineering work powered by AI. Our engineering teams span across all engineering domains and cover the full stack - and as an AI Academy hire, you will grow your craft across domains as you develop into a well-rounded, AI-native technology consultant.

What You'll Do

Once you complete the academy learning program, you will be deployed to client engagements and grow into a versatile, AI-native engineer across Slalom's Cloud-Build and Data capabilities. Your day-to-day work will span engineering disciplines as you build toward your areas of strength. You will:

• Write high-quality application code, data pipelines, or infrastructure-as-code for cloud-based ecosystems (AWS, Azure, GCP), using AI-assisted tooling and copilots as a core part of how you build
• Own the build and verification of software components at the unit and integration level, applying automated testing as a standard practice rather than an afterthought
• Contribute to data platform delivery, including cloud data warehouses, streaming systems, and AI-accelerated pipelines
• Configure andmaintainthe cloud infrastructure, CI/CD pipelines, and DevOps tooling your team depends on
• Drive quality engineering practices, including test planning, automation, and defect management, with an eye toward where AI can accelerate the work
• Partner with senior engineers, architects, and client stakeholders in cross-functional teams, and show up prepared for client-facing ceremonies like stand-ups, sprint reviews, and technical discussions
• Bring whatyou'relearning back to the broader engineering community through knowledge-sharing forums and internal collaboration, helping shape how Slalom builds with AI

What You'll Bring

We're hiring for potential, curiosity, and consulting aptitude alongside technical fundamentals. You don't need deep specialization yet - you need the right foundation and the mindset to grow fast in an AI-enabled delivery environment.

Technical foundation (any combination of the following):

• Exposure to software development in one or more modern languages (e.g., Python, TypeScript, Java, .NET)
• Familiarity with cloud platforms (AWS, GCPor Azure) at a conceptual or hands-on level
• Basic understanding of data concepts - databases, pipelines, or analytics
• Awareness of software quality principles - testing, debugging, or automation
• Academic background and/or experience with AI/ML, GenAI tooling, or intelligent systems
• Demonstrated certification in one or more of the following: AWS, Google, Microsoft, OpenAI, or Anthropic - with preference given to recent AI-focused certifications

Consulting aptitude and soft skills:

• Clear communicator - you can explain your thinking to technical and non-technical audiences
• Client presence - professional, curious, and comfortable in collaborative environments
• Structured problem-solver - you break big problems into smaller ones and follow through
• Learning agility - you pick up new tools and concepts quickly andaren'tafraid to experiment
• Team-first mindset - you contribute positively to team dynamics and ask for help when needed
• AI-ready delivery mindset -you'reeager to work with copilots, GenAI tools, and emerging technologies as part of your everyday workflow

Typically 0-3 years of professional or academic experience in a technology-related field. New graduates are welcome to apply.

Location & Work Environment

This role is open to candidates located near certain U.S. Slalom offices. We are targeting a small number of geographic locations for this Academy cohort to foster a strong cohort community experience. These locations for Fall 2026 include: Atlanta, GA, Washington D.C., St. Louis, MO and Chicago, IL.

The AI Engineering Academy training phase is delivered virtually, allowing you to learn alongside your cohort from wherever you are. Following the Academy, you will work in a hybrid environment consistent with Slalom's culture - spending approximately three days per week in person at your local Slalom office or at a client site alongside your teammates, with flexibility for the remaining time.

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, & vision coverage, adoption and fertility assistance, and short/long-term disability. We also offer yearly $350 reimbursement account for any well-being-related expenses, as well as discounted home, auto, and pet insurance.

Slalom is committed to fair and equitable compensation practices. For this role, we are hiring at the following levels and targeted base pay salary ranges: The targeted base salary pay range for this role in Chicago, IL; Atlanta, GA; St. Louis, MO; and Washington, DC is $76,000 to $95,000. In addition, individuals may be eligible for an annual discretionary bonus. Actual compensation will depend upon an individual's skills, experience, qualifications, location, and other relevant factors. The salary pay range is subject to change and may be modified at any time.

We will accept applicants until August 25, 2026

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: [redacted]. Please note, this recipient is not able to support recruitment inquiries beyond this purpose.