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[Remote] Slalom Flex (Project Based) – AI Strategist
Note: The job is a remote job and is open to candidates in USA. Slalom is a human business and technology consulting company that helps organizations redefine possibilities. They are seeking an AI Strategist to partner with clients in adopting Generative AI across various teams, developing strategies, and providing hands-on guidance in using relevant technologies.
Responsibilities
- Develop a pragmatic GenAI roadmap aligned to business outcomes, data readiness, and the client’s platform environment (Google-first with multi-cloud components)
- Translate ambiguous opportunities into clear, value‑driven use cases (assistants, automation, knowledge retrieval, personalization) with risk/impact considerations
- Lead hands-on workshops, labs, and office hours to upskill delivery teams and stakeholders on GenAI fundamentals (prompting, evaluation, 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 (model providers, vector DBs, eval frameworks, agent platforms)
- Compare tools across criteria like performance, cost, security, and implementation complexity; 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
Skills
- Broad experience applying GenAI tools in real-world contexts, including prompting best practices, evaluation, and enterprise integration patterns
- Familiarity with Databricks AI capabilities, Google Gemini, and AWS (especially AWS Bedrock) – with an emphasis on understanding platform strengths, constraints, and how they work together, not deep mastery of any one
- Strong enablement skills: ability to coach engineers, analysts, and product partners through hands-on teaching, labs, 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 working with multiple GenAI providers (OpenAI, Anthropic, Cohere, etc.) and understanding model selection tradeoffs
- Familiarity with modern data and ML workflows (e.g., CI/CD for ML assets, vector search concepts, data transformation tools)
- Exceptional communication skills
- Prior consulting experience preferred
- Consulting experience preferred
Benefits
- 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
- Short/long-term disability
- Yearly $350 reimbursement account for any well-being-related expenses
- Discounted home, auto, and pet insurance
Company Overview
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