AI Consultant / Strategist Jobs
AI Consultant / Strategist jobs are open across technology, financial services, healthcare, and professional services, from associate and mid-level to principal and director, with specializations in AI strategy, large language model implementation, and enterprise AI transformation. Scan the live roles below and apply to whichever ones fit.
Find JobsOverview
Showing 5 of 63+ AI Consultant / Strategist jobs
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Boulder, CO, USA; Chicago, IL, USA.
Minimum qualifications:
- Bachelor’s degree or equivalent practical experience.
- 5 years of experience in a technical project management or a customer-facing role.
Preferred qualifications:
- Master’s degree in Business, Statistics, Mathematics, Economics, Engineering or Applied Science, or a related field.
- 8 years of experience managing projects and working with analytics, software coding, or customer-side web technologies.
- 3 years of experience in a technical leadership role with/without direct reports.
- Experience with Google Ads ecosystem and how our products work.
- Experience using AI-powered tools for content creation and optimization.
About the job
gTech Ads is responsible for all support and media and technical services for customers big and small across our entire Ad products stack. We help our customers get the most out of our Ad and Publisher products and guide them when they need help. We provide a range of services from enabling better self help and in-product support, to providing better support through interactions, setting up accounts and implementing ad campaigns, and providing media solutions for customers business and marketing needs and providing complex technical and measurement solutions along with consultative support for our large customers. These solutions range from bespoke and customized ones for our customers to scalable support for millions of customers worldwide. Based on the evolving needs of our ads customers, we partner with Sales, Product and Engineering teams within Google to develop better solutions, tools, and services to improve our products and enhance our client experience. As a cross-functional and global team, we ensure our customers get the best return on investment with Google and we remain a trusted partner.
This role is eligible for a transfer with a level change (TLC). To learn about Googler eligibility and process requirements for applying and potentially transferring into this role from one level below, see go/transfer-tlc.
Google creates products and services that make the world a better place, and gTech’s role is to help bring them to life. Our teams of trusted advisors support customers globally. Our solutions are rooted in our technical skill, product expertise, and a thorough understanding of our customers’ complex needs. Whether the answer is a bespoke solution to solve a unique problem, or a new tool that can scale across Google, everything we do aims to ensure our customers benefit from the full potential of Google products.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.US: $140000 - $204000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Update existing solution content or create repeatable content (e.g., best practices recommendations, tutorials, blog articles, sample code) and ensure effective documentation of repeatable solutions.
- Help generate partner insights and participate in business reviews with partners to formulate partner strategies.
- Manage project planning, status reporting, timeline estimation, issue tracking, meeting facilitation, and project documentation.
- Help execute and sustain solutions based on user/partner/client business objectives and technical requirements that have been previously defined, developed, and approved.
- Help identify trends of solution issues across users/partners/clients and collaborate with internal teams to mitigate risks in the future.
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Boulder, CO, USA; Chicago, IL, USA.
Minimum qualifications:
- Bachelor’s degree or equivalent practical experience.
- 5 years of experience in a technical project management or a customer-facing role.
Preferred qualifications:
- Master’s degree in Business, Statistics, Mathematics, Economics, Engineering or Applied Science, or a related field.
- 8 years of experience managing projects and working with analytics, software coding, or customer-side web technologies.
- 3 years of experience in a technical leadership role with/without direct reports.
- Experience with Google Ads ecosystem and how our products work.
- Experience using AI-powered tools for content creation and optimization.
About the job
gTech Ads is responsible for all support and media and technical services for customers big and small across our entire Ad products stack. We help our customers get the most out of our Ad and Publisher products and guide them when they need help. We provide a range of services from enabling better self help and in-product support, to providing better support through interactions, setting up accounts and implementing ad campaigns, and providing media solutions for customers business and marketing needs and providing complex technical and measurement solutions along with consultative support for our large customers. These solutions range from bespoke and customized ones for our customers to scalable support for millions of customers worldwide. Based on the evolving needs of our ads customers, we partner with Sales, Product and Engineering teams within Google to develop better solutions, tools, and services to improve our products and enhance our client experience. As a cross-functional and global team, we ensure our customers get the best return on investment with Google and we remain a trusted partner.
This role is eligible for a transfer with a level change (TLC). To learn about Googler eligibility and process requirements for applying and potentially transferring into this role from one level below, see go/transfer-tlc.
Google creates products and services that make the world a better place, and gTech’s role is to help bring them to life. Our teams of trusted advisors support customers globally. Our solutions are rooted in our technical skill, product expertise, and a thorough understanding of our customers’ complex needs. Whether the answer is a bespoke solution to solve a unique problem, or a new tool that can scale across Google, everything we do aims to ensure our customers benefit from the full potential of Google products.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.US: $140000 - $204000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Update existing solution content or create repeatable content (e.g., best practices recommendations, tutorials, blog articles, sample code) and ensure effective documentation of repeatable solutions.
- Help generate partner insights and participate in business reviews with partners to formulate partner strategies.
- Manage project planning, status reporting, timeline estimation, issue tracking, meeting facilitation, and project documentation.
- Help execute and sustain solutions based on user/partner/client business objectives and technical requirements that have been previously defined, developed, and approved.
- Help identify trends of solution issues across users/partners/clients and collaborate with internal teams to mitigate risks in the future.
AI Consultant / Strategist Jobs by Experience Level
See All 63 AI Consultant / Strategist Jobs
Find roles that match your experience and apply in just a few clicks.
Find JobsAI Consultant / Strategist Job Market
Who's Hiring
Top Industries Hiring
- Technology & Software
- Accounting & Auditing
What Employers Look For
The qualifications that appear most often in AI consultant / strategist jobs.
- Experience designing and delivering AI or machine learning strategy for enterprise clients
- Proficiency with large language models, generative AI tools, and AI development frameworks
- Ability to translate complex AI concepts into executive-level business cases and roadmaps
- Familiarity with cloud AI platforms such as AWS, Azure, or Google Cloud AI services
- Bachelor's degree in computer science, engineering, data science, or a related technical field
- Relevant certifications such as AWS Certified Machine Learning or Google Professional ML Engineer
Tips for Your AI Consultant / Strategist Job Search
Quantify your AI outcomes on your resume
Hiring managers for ai consultant / strategist roles want to see impact, not just tools. Replace vague bullets with measurable results: cost reductions from automation, accuracy improvements on deployed models, or time-to-value on AI pilots you led or advised on.
Build a public artifact showing your thinking
A case study, white paper, or documented AI roadmap you authored gives interviewers something concrete to reference. Consultants who can show how they diagnosed a problem and structured an AI solution stand out from candidates who only list certifications.
Target openings by engagement model, not just title
Job listings for this role split between project-based consulting, embedded strategy roles, and advisory retainer work. Read each description carefully so you apply to engagements that match how you actually work, whether that is short-cycle projects or long-term transformation programs.
Apply early to roles that fit
Migrate Mate lists ai consultant / strategist openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Prepare a client scenario for the interview stage
Most ai consultant / strategist interviews include a case or scenario exercise. Practice structuring a response that moves from business problem to data readiness assessment to recommended AI approach, because panels want to see consulting rigor on top of technical knowledge.
Negotiate scope and deliverables, not just compensation
When you reach the offer stage, clarify what success looks like in the first 90 days and which stakeholders you will report to. AI strategy roles often shift in scope after hire, so getting alignment on deliverables before you accept protects you and sets clear expectations.
AI Consultant / Strategist Jobs: Frequently Asked Questions
Which companies are hiring the most ai consultant / strategists?
The most active employers for ai consultant / strategists right now are TikTok, Cognizant, and Further, and the most openings are in California, New York, and Washington, based on current listings on Migrate Mate as of August 2026. Demand is concentrated at management consulting firms, technology companies, and large enterprises building internal AI practices.
How many ai consultant / strategist jobs are remote?
About 81% of ai consultant / strategist openings are fully remote or hybrid as of August 2026, reflecting how much of the strategy and advisory work translates well to distributed settings. Sub-specializations focused on client workshops, implementation oversight, or hands-on model deployment tend to require more in-person presence than pure strategy or roadmap advisory work.
How do you become an ai consultant / strategist?
Start by building a foundation in machine learning concepts, data analysis, and at least one cloud AI platform. Gain applied experience through internal AI projects, freelance advisory work, or consulting engagements at any scale. Develop the ability to communicate AI recommendations to non-technical stakeholders, earn one or two recognized AI or cloud certifications, and document your project outcomes in a portfolio or case study format employers can review.
Can you get hired as an ai consultant / strategist with little experience?
Yes, but you need to compensate with a strong demonstration of practical skills. Build a documented AI project from scratch, even a personal or open-source one, and write up the business case and methodology as if presenting to a client. Entry-level consulting roles in this space often value structured thinking and communication ability as much as years of hands-on work, so emphasize both in your application materials.
What does the ai consultant / strategist interview process look like?
The process typically includes an initial screening call focused on your background and engagement experience, followed by a technical or scenario round where you work through an AI strategy problem with a panel. Final rounds often involve a presentation to senior stakeholders or a case study you prepare in advance. Expect questions on how you handle client resistance, data readiness challenges, and how you measure the success of an AI initiative.
Where can I find and apply to ai consultant / strategist jobs?
You can find and apply to ai consultant / strategist jobs on Migrate Mate, which lists current openings from across the United States. Search the available roles to find positions that match your specialization and experience level, then apply directly to each listing that fits.
See All 63 AI Consultant / Strategist Jobs
Find roles that match your experience and apply in just a few clicks.
Find Jobs