AI Consultant Jobs
AI Consultant jobs are open across financial services, healthcare, manufacturing, and technology, from associate to principal and director level, with specializations in machine learning strategy, enterprise AI implementation, and responsible AI governance. Find a role that fits from the openings below and apply directly.
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The AI Innovation Program sits within Digital Development Platform and is responsible for accelerating AI adoption through practical, business-focused innovation. We partner closely with frontline teams and business stakeholders to rapidly design, build, and validate AI-enabled solutions that improve operational performance and simplify everyday work.
As an AI Innovation Engineer, you will combine technical problem-solving with business understanding to develop practical solutions that address real operational challenges. Working directly with users and AI Innovation Leads, you will help transform ideas into working solutions and generate measurable business value through AI, automation, analytics, and integrations.
Professionals who enjoy developing ideas, exploring possibilities, and working with stakeholders to deliver effective solutions will thrive in this role.
RESPONSIBILITIES
- As an AI Innovation Engineer, you will contribute to the impact of AI transformation initiatives by:
- Collaborating with frontline operators, subject matter experts, and business stakeholders to understand operational challenges and identify solution opportunities
- Designing, building, and testing AI-enabled, automation, and data-driven solutions using approved development tools and platforms
- Translating business requirements and target workflows into practical technical designs and scalable solution architectures
- Assessing technical feasibility, data readiness, implementation complexity, and solution risks to support informed decision-making
- Integrating business systems, data sources, and automation capabilities to create reliable and efficient workflows
- Supporting user testing, gathering structured feedback, and continuously improving solutions based on operational performance
- Documenting technical assets, reusable components, integrations, testing outcomes, and implementation learnings to support future scalability
- Communicating technical concepts, trade-offs, and implementation considerations effectively to both technical and non-technical stakeholders
QUALIFICATIONS
- Bachelor's or Master's degree in Computer Science, Software Engineering, Data Science, Information Technology, Engineering, or a related field
- Approximately 2-5 years of experience developing software, automation, analytics, data, or AI-enabled solutions
- Practical experience with APIs, integrations, data preparation, workflow automation, and modern development tools
- Practical experience with AI, automation, and data technologies, including real-world business use cases and implementation considerations
- Experience collaborating with both business and technical stakeholders in cross-functional environments
- Familiarity with solution design, testing methodologies, and continuous improvement practices
- Advanced problem-solving skills and a structured approach to delivering results
- Fluent written and spoken communication skills in English
COMPETENCIES
- Applies a user-centric mindset to design practical solutions that deliver measurable business outcomes
- Demonstrates deep technical curiosity and continuously explores emerging AI, automation, and digital technologies
- Applies a structured problem-solving approach to address complex technical and operational challenges
- Effectively translates business needs into technical solutions and technical concepts into business language
- Collaborates effectively across disciplines, functions, and stakeholder groups
- Balances speed, quality, scalability, and business value when developing solutions
- Demonstrates ownership, accountability, and persistence when overcoming implementation challenges
- Balances shifting priorities and performs strongly in environments that encourage innovation
WHAT WE OFFER
Purpose. An opportunity to contribute to climate action and support future generations through AI-driven transformation and innovation.
A visible role that helps shape how AI delivers value across Vestas by working directly with business leaders, frontline teams, and Digital Solutions. A highly visible role working directly with business leaders, frontline teams, and Digital Solutions to shape how AI creates value across Vestas.
Growth. Opportunities to work on complex business challenges, engage with executive stakeholders, and support large-scale transformation efforts while deepening knowledge of AI-enabled business innovation.
Collaboration. A trusted, diverse, and highly collaborative environment where learning, experimentation, and knowledge sharing are encouraged.
Versatility. A healthy work-life balance with flexible working options and opportunities to work across multiple business domains.
CCPA Notice for California Applicants
Our commitment to a fair hiring
At Vestas, we evaluate all candidates solely based on their professional experience, education, and relevant skills. To support a fair recruitment process, we kindly ask that you remove any photos, dates of birth or graduation, gender pronouns, marital status, or other personal information not relevant to the role before submitting your CV/resume. Your CV/resume should focus on your professional and educational background, along with the necessary contact details (email and phone number). We train our hiring teams in inclusive evaluation and regularly review process outcomes to ensure fairness.
DEIB Statement
At Vestas, we recognize the value of diversity, equity, and inclusion in driving innovation and success. We strongly encourage individuals from all backgrounds to apply, particularly those who may hesitate due to their identity or feel they do not meet every criterion. As our CEO states, "Expertise and talent come in many forms, and a diverse workforce enhances our ability to think differently and solve the complex challenges of our industry". Your unique perspective is what will help us powering the solution for a sustainable, green energy future.
BEWARE – RECRUITMENT FRAUD
It has come to our attention that there are a number of fraudulent emails from people pretending to work for Vestas. Read more via this link, https://www.vestas.com/en/careers/our-recruitment-process
About Vestas
Vestas is the energy industry’s global partner on sustainable energy solutions. We are specialised in designing, manufacturing, installing, and servicing wind turbines, both onshore and offshore.
Across the globe, we have installed more wind power than anyone else. We consider ourselves pioneers within the industry, as we continuously aim to design new solutions and technologies to create a more sustainable future for all of us. With more than 200 GW of wind power installed worldwide and 40+ years of experience in wind energy, we have an unmatched track record demonstrating our expertise within the field.
With 39,000 employees globally, we are a diverse team united by a common goal: to power the solution – today, tomorrow, and far into the future.
Vestas promotes a diverse workforce which embraces all social identities and is free of any discrimination. We commit to create and sustain an environment that acknowledges and harvests different experiences, skills, and perspectives. We also aim to give everyone equal access to opportunity.
To learn more about our company and life at Vestas, we invite you to visit our website at www.vestas.com and follow us on our social media channels. We also encourage you to join our Talent Universe to receive notifications on new and relevant postings.
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Who's Hiring
- Deloitte41

- Boston Consulting37

- EY19

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Top Industries Hiring
- Consulting & Professional Services18
- Technology & Software16
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- Education8
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What Employers Look For
The qualifications that appear most often in AI consultant jobs.
- Proficiency in Python and machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn
- Experience translating AI or data science solutions into measurable business outcomes for clients
- Familiarity with cloud AI platforms including AWS SageMaker, Azure Machine Learning, or Google Vertex AI
- Bachelor's or master's degree in computer science, data science, statistics, or a related quantitative field
- Strong communication skills with the ability to present technical findings to non-technical stakeholders
- Knowledge of responsible AI principles, including model fairness, explainability, and data privacy compliance
Tips for Your AI Consultant Job Search
Quantify AI outcomes on your resume
Hiring managers for ai consultant roles want to see impact, not activity. Replace vague bullet points with measurable results: model accuracy improvements, cost reductions from automation deployments, or time-to-insight gains you delivered for a client or internal team.
Apply early to roles that fit
Migrate Mate lists ai consultant openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Tailor applications to the client industry
An ai consultant role in financial services expects fluency with risk modeling and regulatory constraints, while one in retail centers on demand forecasting and personalization. Mirror the industry language in the job posting throughout your resume and cover letter so reviewers see immediate fit.
Build a case study portfolio before applying
AI consulting interviews often require you to walk through a past engagement end to end. Prepare two or three concise case studies covering problem framing, data approach, model or tool selection, and business outcome, so you can reference them fluidly in technical and stakeholder conversations.
Negotiate scope alongside compensation
When you receive an offer, ask about client variety, project rotation frequency, and access to cloud compute resources. These factors shape your long-term skill development and matter as much as base pay, especially at firms where consultant advancement depends on breadth of engagement experience.
Follow up with a structured insight after interviews
After a final-round interview, send a brief note that references a specific problem discussed and adds one concrete observation or framework you did not mention in the room. It demonstrates the consultative thinking ai consultant roles require and keeps you distinct from candidates who send generic thank-you messages.
AI Consultant Jobs: Frequently Asked Questions
Which companies are hiring the most ai consultants?
The companies hiring the most ai consultants right now include Deloitte, Boston Consulting, and EY, with the largest share of openings in Texas, New York, and California, based on current listings on Migrate Mate as of November 2026. Demand is concentrated at management consulting firms, technology service providers, and large enterprises building internal AI capabilities.
How many ai consultant jobs are remote?
About 70% of ai consultant openings are fully remote or hybrid as of November 2026, reflecting the discipline's strong compatibility with distributed work. Strategy and advisory roles tend to offer the most remote flexibility, while implementation and on-site model deployment engagements more frequently require in-person presence at client locations.
How do you become an ai consultant?
Start by building a foundation in machine learning, statistics, and a programming language such as Python, then gain hands-on experience through projects, internships, or internal data roles. Develop client-facing skills by practicing structured problem framing and clear communication of technical concepts. Earning a cloud AI certification and assembling a portfolio of documented outcomes accelerates your path into consulting roles significantly.
Can you get an ai consultant job with little or no experience?
Yes, entry-level ai consultant roles exist, particularly at larger consulting firms that run analyst or associate programs and train candidates on the job. Demonstrate readiness by completing a recognized machine learning course, contributing to an open-source AI project, or completing a capstone with a real dataset. Firms value candidates who can show structured thinking and client communication potential even without formal consulting experience.
What does the ai consultant interview process look like?
The process typically begins with a recruiter screen, followed by a technical assessment covering machine learning concepts, Python coding, or a take-home case study. Later rounds usually include a business case interview where you frame an AI problem for a hypothetical client, a presentation of past project work, and a fit interview with senior consultants or partners. Some firms add a live data analysis exercise.
Where can I find and apply to ai consultant jobs?
You can find and apply to ai consultant jobs on Migrate Mate, which lists current openings from across the United States. Search the listings to find roles that match your background, experience level, and preferred location or remote arrangement, then apply directly to each listing that fits.
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