AI Lead Jobs
AI Lead jobs are open across technology, finance, healthcare, and media, from mid-level practitioner to director, with specializations in machine learning engineering, generative AI product development, and AI strategy. See the openings below and apply to the ones that match your experience.
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The Mosaic Company (NYSE: MOS) is the world’s leading integrated producer of concentrated phosphate and potash—two of the three most important nutrients in agriculture. We employ more than 13,000 people in six countries to serve farmers all over the world. Our Headquarters is in Lithia, Florida with operations throughout North America (U.S./Canada) and South America.
At Mosaic We Help the World Grow the Food it Needs - Apply today and join our team!
The AI Solution Lead Analyst is a senior, hands-on leader in Mosaic's AI Office who guides a team in turning high-value business problems into adopted, governed AI solutions with measurable business value across Operations, Supply Chain, Procurement, Commercial and Corporate functions. Working with data scientists, AI/ML engineers, product owners and business process owners, this role leads the technical execution and ensures high-quality delivery of generative AI, computer vision, machine learning and optimization solutions built on Mosaic's enterprise AI platform. The role combines hands-on development support with leadership in applying architectural standards, enforcing code quality, promoting responsible AI and engineering best practices, and developing team members.
Team-Level AI Solution Delivery & Technical Leadership
- Lead the end-to-end delivery of AI solutions, from discovery and data readiness through prototype, production and adoption, ensuring alignment with architecture standards and business requirements.
- Guide the design, build, configuration and testing of AI solutions, including generative AI agents, machine learning, computer vision and optimization models, on Mosaic's Microsoft Azure–based enterprise AI platform.
- Partner with data and analytics teams to ensure trusted, AI-ready data from enterprise systems and to translate model outputs into business-ready insights.
- Ensure consistent application of coding standards, design patterns, and responsible AI and security practices to deliver scalable, maintainable and secure solutions.
- Actively support developers and analysts by resolving technical blockers and providing guidance on implementation strategies.
- Conduct code and solution reviews and define evaluation approaches to ensure AI solutions meet quality, performance and cost targets.
- Champion test automation, continuous integration, and continuous delivery (CI/CD) within the team.
- Track adoption and business value of delivered AI products and ensure technical debt is identified and addressed proactively.
- Promote a culture of technical excellence and continuous improvement, staying current on emerging AI capabilities and sharing knowledge across the AI Office.
Agile Collaboration
- Participate in and help facilitate Agile ceremonies, including sprint planning, stand-ups, and retrospectives.
- Work closely with the Product Owner and Global Process Owners/business SMEs to understand requirements, map as-is and to-be workflows, define success criteria and KPIs, and ensure technical feasibility.
- Coordinate with other Tech Leads and Architects to align on cross-team dependencies and shared components.
- Collaborate with IT partners (architecture, cybersecurity, infrastructure) and external technology partners (e.g., Microsoft) to lead solution reviews, governance approvals and production readiness.
People Leadership:
- Lead, manage, develop and coach the AI delivery team, including onshore and offshore resources.
- Provide timely and constructive feedback on a regular basis to ensure employees have a clear understanding of their work, roles and responsibilities.
- Set goals and ensure that goals are met. Manage performance in accordance with Mosaic’s performance review process.
What you’ll need:
- An Associate's degree in Computer Science, Data Science, Engineering, Mathematics/Statistics, Business, Information Systems or related area
- Bachelor's degree preferred
- 7+ years of experience working with information technologies and systems analysis.
- Strong knowledge of business processes, and how data and software applications support those processes.
- Proven ability to assess business needs and translate them into relevant solutions.
- Strong understanding and knowledge of the principles and practices associated with packaged and/or SaaS applications.
- Experience installing, configuring, documenting, testing, training, and implementing new applications and systems.
- Proven hands-on experience leading the delivery of AI/ML or generative AI solutions (e.g., prompt design, agents, retrieval-augmented generation or machine learning models) from prototype to production in a business setting.
- Strong proficiency in estimation and planning.
- Ability to anticipate and understand business strategies, objectives and priorities.
- Knowledge of agile methodologies and frameworks such as Kanban preferred
- Experience with agent frameworks and protocols preferred
- Experience with computer vision, predictive modeling or mathematical optimization use cases preferred
- Experience in mining, manufacturing, supply chain or procurement environments preferred
- Strong verbal, written, listening and presentation communication skills.
- Highly organized.
- Ability to present and discuss technical information in a way that establishes rapport, persuades others, and gains understanding with the technical and the business teams.
- Strong organizational and planning skills as well as attention to detail.
- Ability to effectively work and create effective partnerships with employees at all levels within the organization.
- Strong leader that possesses a hands-on, lead by example approach.
- Excellent interpersonal and teamwork skills
- Ability to adapt to a continually changing business and work environment and manage multiple priorities
- Demonstrated critical thinking and decision making skills
- Excellent analysis and problem-solving skills
- Ability to provide oversight across multiple initiatives or projects.
- Ability to handle confidential and sensitive information.
- Ability to explain AI concepts, limitations and risks to non-technical audiences and senior stakeholders.
- Strong understanding of responsible AI principles, data privacy and AI governance.
- Ability to coordinate / manage offshore teams preferred
- Proficient with Microsoft Office (Word, Excel, PowerPoint, Outlook), Visio and Project.
- Specific technology as required by functional area (SAP, Workday, Salesforce, etc.).
- Working knowledge of Python and SQL for data analysis and AI solution development.
- Familiarity with Microsoft Copilot, Power BI, Microsoft Fabric and Azure DevOps.
- Experience with AI-assisted development tools (e.g., GitHub Copilot) preferred
- Experience deploying agents to Microsoft Teams and Microsoft 365 Copilot preferred
- Experience with APIs and data integration with enterprise systems such as SAP preferred
What's in it for you:
- A competitive base salary + bonus incentives
- 11 paid holidays each year
- A generous 401k with a company match and annual company contribution
- Paid sick leave
- Paid vacation time
- A robust benefits package which includes Medical, Dental, and Vision insurance, life & disability
- Tuition reimbursement
- Paid Paternity/Maternity Leave
The Mosaic Company (NYSE: MOS) is the world’s leading integrated producer of concentrated phosphate and potash—two of the three most important nutrients in agriculture. We employ more than 13,000 people in six countries to serve farmers all over the world. Our Headquarters is in Lithia, Florida with operations throughout North America (U.S./Canada) and South America.
At Mosaic We Help the World Grow the Food it Needs - Apply today and join our team!
The AI Solution Lead Analyst is a senior, hands-on leader in Mosaic's AI Office who guides a team in turning high-value business problems into adopted, governed AI solutions with measurable business value across Operations, Supply Chain, Procurement, Commercial and Corporate functions. Working with data scientists, AI/ML engineers, product owners and business process owners, this role leads the technical execution and ensures high-quality delivery of generative AI, computer vision, machine learning and optimization solutions built on Mosaic's enterprise AI platform. The role combines hands-on development support with leadership in applying architectural standards, enforcing code quality, promoting responsible AI and engineering best practices, and developing team members.
Team-Level AI Solution Delivery & Technical Leadership
- Lead the end-to-end delivery of AI solutions, from discovery and data readiness through prototype, production and adoption, ensuring alignment with architecture standards and business requirements.
- Guide the design, build, configuration and testing of AI solutions, including generative AI agents, machine learning, computer vision and optimization models, on Mosaic's Microsoft Azure–based enterprise AI platform.
- Partner with data and analytics teams to ensure trusted, AI-ready data from enterprise systems and to translate model outputs into business-ready insights.
- Ensure consistent application of coding standards, design patterns, and responsible AI and security practices to deliver scalable, maintainable and secure solutions.
- Actively support developers and analysts by resolving technical blockers and providing guidance on implementation strategies.
- Conduct code and solution reviews and define evaluation approaches to ensure AI solutions meet quality, performance and cost targets.
- Champion test automation, continuous integration, and continuous delivery (CI/CD) within the team.
- Track adoption and business value of delivered AI products and ensure technical debt is identified and addressed proactively.
- Promote a culture of technical excellence and continuous improvement, staying current on emerging AI capabilities and sharing knowledge across the AI Office.
Agile Collaboration
- Participate in and help facilitate Agile ceremonies, including sprint planning, stand-ups, and retrospectives.
- Work closely with the Product Owner and Global Process Owners/business SMEs to understand requirements, map as-is and to-be workflows, define success criteria and KPIs, and ensure technical feasibility.
- Coordinate with other Tech Leads and Architects to align on cross-team dependencies and shared components.
- Collaborate with IT partners (architecture, cybersecurity, infrastructure) and external technology partners (e.g., Microsoft) to lead solution reviews, governance approvals and production readiness.
People Leadership:
- Lead, manage, develop and coach the AI delivery team, including onshore and offshore resources.
- Provide timely and constructive feedback on a regular basis to ensure employees have a clear understanding of their work, roles and responsibilities.
- Set goals and ensure that goals are met. Manage performance in accordance with Mosaic’s performance review process.
What you’ll need:
- An Associate's degree in Computer Science, Data Science, Engineering, Mathematics/Statistics, Business, Information Systems or related area
- Bachelor's degree preferred
- 7+ years of experience working with information technologies and systems analysis.
- Strong knowledge of business processes, and how data and software applications support those processes.
- Proven ability to assess business needs and translate them into relevant solutions.
- Strong understanding and knowledge of the principles and practices associated with packaged and/or SaaS applications.
- Experience installing, configuring, documenting, testing, training, and implementing new applications and systems.
- Proven hands-on experience leading the delivery of AI/ML or generative AI solutions (e.g., prompt design, agents, retrieval-augmented generation or machine learning models) from prototype to production in a business setting.
- Strong proficiency in estimation and planning.
- Ability to anticipate and understand business strategies, objectives and priorities.
- Knowledge of agile methodologies and frameworks such as Kanban preferred
- Experience with agent frameworks and protocols preferred
- Experience with computer vision, predictive modeling or mathematical optimization use cases preferred
- Experience in mining, manufacturing, supply chain or procurement environments preferred
- Strong verbal, written, listening and presentation communication skills.
- Highly organized.
- Ability to present and discuss technical information in a way that establishes rapport, persuades others, and gains understanding with the technical and the business teams.
- Strong organizational and planning skills as well as attention to detail.
- Ability to effectively work and create effective partnerships with employees at all levels within the organization.
- Strong leader that possesses a hands-on, lead by example approach.
- Excellent interpersonal and teamwork skills
- Ability to adapt to a continually changing business and work environment and manage multiple priorities
- Demonstrated critical thinking and decision making skills
- Excellent analysis and problem-solving skills
- Ability to provide oversight across multiple initiatives or projects.
- Ability to handle confidential and sensitive information.
- Ability to explain AI concepts, limitations and risks to non-technical audiences and senior stakeholders.
- Strong understanding of responsible AI principles, data privacy and AI governance.
- Ability to coordinate / manage offshore teams preferred
- Proficient with Microsoft Office (Word, Excel, PowerPoint, Outlook), Visio and Project.
- Specific technology as required by functional area (SAP, Workday, Salesforce, etc.).
- Working knowledge of Python and SQL for data analysis and AI solution development.
- Familiarity with Microsoft Copilot, Power BI, Microsoft Fabric and Azure DevOps.
- Experience with AI-assisted development tools (e.g., GitHub Copilot) preferred
- Experience deploying agents to Microsoft Teams and Microsoft 365 Copilot preferred
- Experience with APIs and data integration with enterprise systems such as SAP preferred
What's in it for you:
- A competitive base salary + bonus incentives
- 11 paid holidays each year
- A generous 401k with a company match and annual company contribution
- Paid sick leave
- Paid vacation time
- A robust benefits package which includes Medical, Dental, and Vision insurance, life & disability
- Tuition reimbursement
- Paid Paternity/Maternity Leave
AI Lead Jobs by Experience Level
See All 1,380+ AI Lead Jobs
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Find AI Lead JobsAI Lead Job Market
Who's Hiring
- JPMorganChase92
- CVS Health66
- Booz Allen Hamilton30
- Boston Consulting18
- Deloitte17
Top Industries Hiring
- Technology & Software58
- Insurance25
- Banking & Financial Services14
- Consulting & Professional Services14
- Education12
What Employers Look For
The qualifications that appear most often in AI lead jobs.
- Five or more years of experience building and deploying machine learning or AI systems in production
- Proficiency with Python and at least one major ML framework such as PyTorch or TensorFlow
- Experience leading cross-functional teams or mentoring junior engineers and data scientists
- Hands-on work with cloud AI services on AWS, Google Cloud, or Azure
- Demonstrated ability to translate business problems into AI solutions and communicate results to non-technical stakeholders
- Bachelor's or master's degree in computer science, data science, statistics, or a related quantitative field
Tips for Your AI Lead Job Search
Quantify your model impact on your resume
AI Lead roles attract candidates who can show business outcomes, not just technical fluency. Replace vague bullet points with metrics: latency reductions, accuracy improvements, or revenue influenced by systems you owned or led end to end.
Distinguish applied AI from research on your resume
Hiring managers for AI Lead roles differentiate between research contributors and practitioners who ship. If your experience is applied, lead with production systems, deployment decisions, and cross-functional ownership rather than publication counts or academic benchmarks.
Apply early to roles that fit
Migrate Mate lists ai lead openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Filter openings by the AI stack they name
Job descriptions for ai lead roles often signal the actual work by listing specific frameworks or cloud platforms. Target postings that name tools you've used in production, since technical screening will probe those exact environments.
Prepare a system design narrative for interviews
AI Lead interviews consistently include architecture discussions. Practice explaining a system you built from data ingestion through model serving, including the tradeoffs you made and why. Generic ML theory answers don't satisfy this stage.
Negotiate scope alongside compensation
AI Lead offers often leave team size, budget authority, and infrastructure ownership undefined. Before accepting, clarify what you'll actually control so the role matches the leadership level you're stepping into.
AI Lead Jobs: Frequently Asked Questions
Which companies are hiring the most ai leads?
JPMorganChase, CVS Health, and Booz Allen Hamilton are hiring the most ai leads right now, with openings concentrated in California, Texas, and New York, based on current listings on Migrate Mate as of November 2026. Demand is especially active at technology companies scaling generative AI products and large enterprises building internal AI platforms.
How many ai lead jobs are remote?
About 72% of ai lead openings are fully remote or hybrid as of November 2026, reflecting strong demand for distributed technical leadership. Sub-areas such as AI strategy, ML platform engineering, and generative AI product development tend to have the highest share of remote-eligible postings compared to roles requiring on-site lab or hardware access.
How do you become a ai lead?
Start by building a foundation in machine learning engineering or data science and shipping production systems, not just notebooks. Progress into owning a model or platform end to end, then take on mentorship or project leadership to demonstrate scope. Develop the ability to communicate AI decisions to non-technical partners, since leadership roles require both technical depth and cross-functional influence.
How do you get hired as a ai lead with little experience?
Focus on demonstrating ownership rather than seniority. Build and deploy a real AI project with measurable outcomes, contribute to open-source AI tooling, or lead a component of a larger system at your current role. Titles like AI engineer or ML engineer with team-lead responsibilities are common stepping stones. Target companies growing an AI function who need someone to help establish practices, not just execute.
What does the ai lead interview process look like?
Most ai lead interview processes include a recruiter screen, a technical phone interview covering ML fundamentals and system design, a take-home or live coding exercise involving model development or evaluation, and a final loop with engineering, product, and sometimes executive stakeholders. Leadership interviews often include a presentation on a past AI project where you'll walk through decisions, tradeoffs, and outcomes in detail.
Where can I find and apply to ai lead jobs?
You can find and apply to ai lead jobs on Migrate Mate, which lists current openings from across the United States. Search for roles that match your experience level and specialization, then apply directly to each listing that fits.
See All 1,380+ AI Lead Jobs
Find roles that match your experience and apply in just a few clicks.
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