Flex; Project – AI Strategist

Slalom Flex (Project Based) – AI Strategist

Location: Remote supporting MST working hours; local to Denver with ability to be onsite preferred.

Role: Project-based AI Strategist partnering with a client operating in a Google-centric ecosystem to accelerate Generative AI adoption across product, engineering, and data teams.

Our teams help organizations of all kinds redefine what’s possible, give shape to the future, and get there. We focus on high-impact projects and help clients move confidently through ambiguity and risk to drive transformative outcomes.

• Develop a pragmatic GenAI roadmap aligned to business outcomes, data readiness, and the client’s platform environment.
• Translate ambiguous opportunities into clear, value‑driven use cases (assistants, automation, knowledge retrieval, personalization) with risk and impact considerations.
• Lead hands‑on workshops, labs, and office hours to upskill delivery teams and stakeholders on GenAI fundamentals, prompting, evaluation, and safety considerations.
• Build playbooks, patterns, and reference examples tailored to the client’s workflows and technology stack.
• Guide the design of GenAI solutions using a mix of Databricks, Google Gemini, AWS Bedrock, and other ecosystem tools without requiring deep specialization in any single platform.
• Support development of prototypes such as RAG workflows, lightweight agents, orchestration patterns, and reference integrations to demonstrate feasibility and best practices.
• Advise on the broader GenAI vendor ecosystem, compare tools across performance, cost, security, and implementation complexity, and support proof‑of‑concept evaluations.
• Partner with data engineering, platform, and product teams to integrate GenAI responsibly within existing services and workflows.
• Communicate clearly with both technical and non-technical audiences, ensuring alignment around recommendations and decisions.

• Broad experience applying GenAI tools in real‑world contexts, including prompting best practices, evaluation, and enterprise integration patterns.
• Familiarity with Databricks AI, Google Gemini, and AWS Bedrock, emphasizing understanding of platform strengths and constraints without deep mastery of any one.
• Strong enablement skills: coaching engineers, analysts, and product partners through hands‑on teaching and curriculum development.
• Working knowledge of building prototypes across Python/SQL notebooks, API‑based integrations, simple orchestration patterns, and multi‑cloud environments.
• Clear, pragmatic communication skills with the ability to translate complex AI concepts into actionable guidance.
• Experience with multiple GenAI providers (OpenAI, Anthropic, Cohere, etc.) and understanding of model selection tradeoffs.
• Familiarity with modern data and ML workflows, including CI/CD for ML assets, vector search concepts, and data transformation tools.
• Prior consulting experience preferred.
• Exceptional communication skills.

Hourly pay range: $95 to $109/hr depending on experience. Benefits include meaningful time off, paid holidays, parental leave, 401(k) with match, subsidized health, dental, and vision coverage, adoption and fertility assistance, short/long‑term disability, wellness reimbursement, and discounted insurance options.

Slalom is an equal‑opportunity employer and is committed to attracting, developing, and retaining highly qualified talent. 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 welcomes and encourages applications from individuals with disabilities; reasonable accommodations are available for candidates during all aspects of the selection process.

We will accept applications on an ongoing basis through January 5, 2026.

• Seniority level:
  Mid‑Senior
• Employment type:
  
  Full‑time
• Job function:
  Other
• Industry: Business Consulting and Services