Description and Requirements

Job Description

AI/ML Engineer - Senior Consultant

**** Please note: This role is not eligiblefor 100% remote work. Employees must live within a commutable distance of the Denver Office and must be willing to be onsite at the client and/or Slalom office when needed up to 3 days a week. ****

What You'll Do

• Design, build, and deploy generative AI and machine learning solutions that solve business problems and improve how people work

• Develop LLM-powered applications using RAG, agents, prompt engineering, tool and function calling, workflow automation, and fine-tuning where appropriate.

• Apply Machine Learning, Deep Learning, and other relevant technologies to assist in building AI tools that solve real business problems.
• Assist in the design, development, presentation, and delivery of traditional ML solutions in areas such as Computer Vision, NLP, Recommendation Systems, etc.
• Stay updated on fundamental AI/ML concepts and emerging trends to contribute to solution discussions and development.
• Contribute to the growth of the AI/ML community within the organization through learning, mentoring, and sharing knowledge.

What You'll Bring

• 6+ years of experience implementing models or machine learning algorithms into production
• 2-4 years of professional Managed or IT Professional consulting experience.
• Strong consultative and communication skills, and the ability to convey complex technical concepts to diverse stakeholders.
• Solid technical foundation, combined with constant curiosity to stay on the creative edge of ML/AI solutions.
• Technical and conversational fluency in AI, GenAI, Machine Learning and at least one of the major clouds (AWS, GCP, Azure)

• Hands-on experience building generative AI solutions using LLMs, embeddings, vector search, RAG, agents, prompt engineering, fine-tuning or model adaptation, or similar techniques.
• Experience with AI validation, evaluation, observability, and production quality metrics such as accuracy, groundedness, safety, latency, cost, and drift.

• Experience deploying ML/AI into production, and ability to talk through best practices and pitfalls.
• Understanding of validation frameworks for AI and ML tools, with knowledge of the production-ready offerings on the market for AI validation.
• Excellent python, especially for ML/AI use cases.
• Data Science and/or Data Engineering background preferred.
• Nice to have:
  • Experience in a sales support role, within Data Science, Machine Learning, or AI.
  • Familiarity with leading data platforms like Databricks and Snowflake, and their basic services.
  • Experience implementing MLOps best practices and ML workflow tools, and the ability to translate this experience to creative LLMOps solutions.

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 the Senior Consultant role is $145,000 to $175,000. 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 July 6th, 2026 or 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: [redacted]. Please note, this recipient is not able to

support recruitment inquiries beyond this purpose.