Slalom
Slalom Flex (Project Based) – AI Strategist
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Slalom Flex (Project Based) – AI Strategist
role at
Slalom . 3 days ago – be among the first 25 applicants.
Role:
AI Strategist (Project Based – Slalom Flex)
Location:
Remote supporting MST working hours; local to Denver with ability to be onsite preferred.
Our teams help organizations redefine what’s possible, give shape to the future, and get there. We focus on high‑impact projects, meeting our clients where they are to uncover business needs and deliver results. This position partners with a client operating in a Google‑centric ecosystem to accelerate Generative AI (GenAI) adoption across product, engineering, and data teams. The consultant will shape strategy, coach teams, and provide hands‑on guidance on using Databricks, Google Gemini, AWS Bedrock, and adjacent GenAI technologies.
What You’ll Do Strategy & Roadmapping
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.
Enablement & Coaching
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.
Solution Architecture & Prototyping
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.
Vendor Landscape & Tooling
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.
Collaboration & Change Management
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.
What You’ll Bring
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.
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).
Prior consulting experience preferred.
Exceptional communication skills.
About Us Slalom is a fiercely human business and technology consulting company that leads with outcomes to bring more value in all ways. 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.
Compensation And Benefits Hourly pay range: $95 to $109/HR depending on experience. Actual compensation depends on skills, experience, qualifications, location, and other factors. Benefits include meaningful time off and paid holidays, parental leave, 401(k) with a match, highly subsidized health, dental & vision coverage, adoption and fertility assistance, short/long‑term disability, yearly $350 reimbursement account for well‑being expenses, and discounted home, auto, and pet insurance.
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. Applications will be accepted on an ongoing basis through January 5, 2026.
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Slalom Flex (Project Based) – AI Strategist
role at
Slalom . 3 days ago – be among the first 25 applicants.
Role:
AI Strategist (Project Based – Slalom Flex)
Location:
Remote supporting MST working hours; local to Denver with ability to be onsite preferred.
Our teams help organizations redefine what’s possible, give shape to the future, and get there. We focus on high‑impact projects, meeting our clients where they are to uncover business needs and deliver results. This position partners with a client operating in a Google‑centric ecosystem to accelerate Generative AI (GenAI) adoption across product, engineering, and data teams. The consultant will shape strategy, coach teams, and provide hands‑on guidance on using Databricks, Google Gemini, AWS Bedrock, and adjacent GenAI technologies.
What You’ll Do Strategy & Roadmapping
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.
Enablement & Coaching
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.
Solution Architecture & Prototyping
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.
Vendor Landscape & Tooling
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.
Collaboration & Change Management
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.
What You’ll Bring
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.
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).
Prior consulting experience preferred.
Exceptional communication skills.
About Us Slalom is a fiercely human business and technology consulting company that leads with outcomes to bring more value in all ways. 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.
Compensation And Benefits Hourly pay range: $95 to $109/HR depending on experience. Actual compensation depends on skills, experience, qualifications, location, and other factors. Benefits include meaningful time off and paid holidays, parental leave, 401(k) with a match, highly subsidized health, dental & vision coverage, adoption and fertility assistance, short/long‑term disability, yearly $350 reimbursement account for well‑being expenses, and discounted home, auto, and pet insurance.
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. Applications will be accepted on an ongoing basis through January 5, 2026.
#J-18808-Ljbffr