Associate Consultant - AI Engineering

Slalom; Washington (District of Columbia); Hybrid; USD 76,000 - 95,000; Full time

Benefits offered by this job

Annual wellbeing reimbursement

401(k) with match

Subsidized health, dental, and vision

Job summary

Slalom is launching an AI Engineering Academy to train early-career engineers in AI-native consulting. Trainees will complete a four-week immersive bootcamp, earn hyperscaler certifications, shadow experienced engineers, and build a community across the US and Canada.

Post-training, engineers will work with Cloud-Build and Data teams on AI-enabled projects, across AWS, Azure, and GCP, growing into well-rounded technology consultants.

Qualifications

• Academic background in software engineering or related field is welcome.
• Exposure to AI/ML concepts is advantageous.
• Familiarity with cloud platforms and software quality principles.

Responsibilities

• Write high-quality application code, data pipelines, or infrastructure-as-code for cloud-based ecosystems (AWS, Azure, GCP), using AI-assisted tooling.
• Own build and verification of software components at unit and integration level with automated testing.
• Contribute to data platform delivery, including cloud data warehouses, streaming systems, and AI-accelerated pipelines.
• Configure and maintain cloud infrastructure, CI/CD pipelines, and DevOps tooling for the team.
• Drive quality engineering practices, including test planning, automation, and defect management.
• Partner with senior engineers, architects, and client stakeholders in cross-functional teams.
• Share knowledge back to the engineering community through forums and collaboration.

Skills

Python

TypeScript

Java

.NET

AWS

GCP

Azure

AI/ML

GenAI tooling

Certifications

Tools

AWS

GCP

Azure

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
• Earn hyperscaler and 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

At Slalom, we co-create custom software, data, and cloud products with clients who seek all of the benefits of modern, digital products. We're passionate about technology and compelled by its potential - building digital products, experiences, and technology-driven organizations that drive true change. We're driven by the opportunity to build the future we want to see, with anyone willing to join us.

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.

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 will allow you to learn alongside your cohort. Following the Academy, you will work in an environment consistent with Slalom's culture - spending time in person at your local Slalom office or at a client site alongside your teammates, with flexibility for the remaining time.

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 includemeaningful 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

Wearecommittedtopaytransparencyandcompliancewithapplicablelaws.Ifyouhavequestionsorconcernsaboutthepayrangeorothercompensationinformationinthisposting,pleasecontactusat: [e-mail]. Pleasenote,thisrecipientisnotabletosupportrecruitmentinquiriesbeyondthispurpose.

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 veterans’ status, or any other characteristic protected by federal, state, or local laws. Slalom will also consider qualified applications 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 [e-mail] if you require accommodations during the interview process.