• Please note: This role is not eligible for 100% remote work. Employees must live within a commutable distance of one of the offices listed below and must be willing to be onsite at the client and/or Slalom office when needed.****
  
  

Who You’ll Work With

At Slalom, we co-create modern technology and software products with clients who are accelerating their digital transformation journeys. We blend design, product engineering, analytics, and automation to deliver the intelligent products of tomorrow. As an AI/ML Architect, you’ll design and deliver innovative solutions that combine machine learning, generative AI, and data engineering into scalable enterprise platforms on AWS, Azure, and Google Cloud. You’ll partner with clients to shape strategy, define architectures, and bring AI solutions to life—from concept to production.

What You’ll Do

• Architect and deliver enterprise-scale AI/ML solutions including data pipelines, feature engineering, model development, deployment, monitoring, and lifecycle management.
• Design scalable, secure architectures that integrate across cloud-native and hybrid environments (AWS, Azure, GCP).
• Lead projects across applied AI domains such as natural language processing, computer vision, time series forecasting, recommender systems, and generative AI.
• Enable GenAI and LLMOps adoption, including fine-tuning, RAG (retrieval-augmented generation), prompt engineering, and orchestration frameworks.
• Champion Responsible AI practices (explainability, fairness, privacy, bias mitigation, and governance) to ensure ethical and compliant AI delivery.
• Evaluate emerging technologies, frameworks, and tools, providing clear recommendations tailored to client use cases.
• Lead and mentor cross-functional delivery teams of data engineers, ML engineers, and consultants, ensuring on-time, high-quality outcomes.
• Support business development through proposals, client pitches, solution accelerators, and thought leadership.
• Coach and mentor junior consultants, fostering a culture of continuous learning and innovation across the AI/ML practice.
  
  

What You’ll Bring

• 6+ years of experience implementing ML/AI models in production (classical ML, deep learning, or generative AI).
• 3+ years of experience in professional consulting or IT services, with proven ability to lead client-facing engagements.
• Deep expertise in ML/DL (TensorFlow, PyTorch, Scikit-learn).
• Demonstrated proficiency in GenAI frameworks (Hugging Face, LangChain).
• Strong programming skills in Python, R, or Scala with hands-on experience building scalable ML pipelines.
• Proficiency in cloud AI/ML services (AWS SageMaker, Azure ML, GCP Vertex AI) and big data ecosystems (Spark, Databricks, Kafka, Snowflake).
• Experience with MLOps/LLMOps, CI/CD, observability, and containerization (Docker, Kubernetes).
• Strong understanding of AI solution architecture, balancing performance, scalability, cost, and governance.
• Ability to communicate complex AI concepts to both technical and non-technical stakeholders, influencing executive decision-making.
• Experience managing delivery teams and shaping AI/ML roadmaps for enterprise clients.
• Strong problem-solving, critical thinking, and business acumen, with an innovative mindset.
  
  

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 collaborate with clients to bring powerful customer experiences, innovative ways of working, and new products and services to life. We are trusted by leaders across the Global 1000, many successful enterprise and mid-market companies, and 500+ public sector organizations to improve operations, drive growth, and create value. At Slalom, we believe that together, we can move faster, dream bigger, and build better tomorrows for all.

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.

Hiring Locations:

• Boston, MA
• Nashville, TN
• Chicago, IL
• St Louis, MO
• Denver, CO
• Atlanta, GA
• Miami, FL
• Dallas-Fort Wirth, Austin and Houston, TX
• East Bay Area, San Francisco, Silicon Valley, Los Angeles, Orange County, San Diego CA
• Seattle, WA
  
  

Slalom Is Committed To Fair And Equitable Compensation Practices.

For candidates located in our (Boston, MA / Houston, TX/ Bay Area, San Francisco, Silicon Valley, Los Angeles, Orange County, San Diego CA and Seattle, WA) offices, the base salary range for a Principal is $133,000 to $206,000.

For candidates located in our (Atlanta, GA/ Miami, FL/ Chicago, IL/ St Louis, MO/ Dallas and Austin, TX/ Nashville, TN/ Denver, CO) offices, the base salary range for a Principal is $122,000 to $189,000.

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.

EEO and Accommodations

Slalom is an equal opportunity employer and is committed to inclusion, diversity, and equity in the workplace. 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 if you require an accommodation during the interview process.