AI Jobs
AI jobs are open from new-grad to principal across technology, healthcare, finance, and media, with common specializations in machine learning engineering, natural language processing, and computer vision. Scan the live roles below and apply to whichever ones fit.
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None
Job Description:About this role:
We are seeking an Enterprise AI Platform - Agentic AI Safety & Security (Lead Artificial Intelligence Solutions Consultant), as part of the Digital Capabilities team under Digital Technology & Innovation.
In this role, you will define and deliver the governance, control, and enablement layer that allows teams across the enterprise to design, deploy, and operate AI agents safely and at scale in regulated environments. You will lead the Agentic AI Safety and Security strategy within our Enterprise AI Platform, and you will partner closely with platform engineering, cybersecurity, risk/compliance, and application teams to build industry leading capabilities such as agent identity and registry, observability and evaluation, responsible AI and data guardrails, and agent behavior controls. This is a high impact role at the intersection of AI innovation, platform product management, and enterprise transformation establishing the trusted agentic foundation that accelerates time to value while ensuring governance, security, and operational excellence.
In this role, you will:
Lead a team to identify, strategize and execute highly complex Artificial Intelligence initiatives that span a line of business
Recommend business strategy and deliver Artificial Intelligence enabling solutions to solve business challenges
Define and prioritize cases, obtain the required resources and ensure the solutions deliver the intended benefits
Leverage Artificial Intelligence expertise to evaluate technological readiness and resources required to execute the proposed solutions
Make decisions to drive the implementation of Artificial Intelligence initiatives and programs while serving multiple stakeholders
Resolve issues which may arise during development or implementation
Collaborate and consult with peers, colleagues and managers to resolve issues and achieve goals
Required Qualifications:
5+ years of Artificial Intelligence Solutions experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
2+ years of experience delivering platform capabilities end to end from discovery and roadmap definition through delivery and adoption with clear success metrics and strong stakeholder alignment
2+ years of hands on experience with cloud platforms such as GCP or Azure, and container orchestration technologies including Docker and Kubernetes/OpenShift
Desired Qualifications:
Experience with agentic AI systems, including planning and routing, tool execution, and multi step workflows, as well as familiarity with common architectural patterns such as retrieval augmented generation (RAG) and orchestrated agent workflows
Familiarity with emerging standards and interoperability patterns for agent to tool and agent to agent connectivity, including concepts similar to MCP style tool integration and A2A communication models
Experience integrating enterprise platforms via APIs and connectors, including designing and operating permission models, identity integration, and secure data access patterns
Experience building developer centric products and platforms, such as registries or marketplaces, SDKs and templates, documentation, onboarding flows, and scalable self service experiences
Understanding of AI governance and risk controls in enterprise environments, including operational guardrails, auditability, compliance considerations, and safe deployment practices
Strong written and verbal communication skills, with the ability to clearly explain complex technical concepts and influence both technical practitioners and business stakeholders
About NTT DATA:
NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us at us.nttdata.com
NTT DATA provides a reasonable range of compensation for U.S.-based positions. The starting pay range for this role is [$75 - $80/hourly]. Actual compensation will depend on a number of factors, including the candidate’s relevant experience, technical skills, and other qualifications. This position is eligible for company benefits including participation in medical, dental, and vision insurance, flexible spending or health savings account, and AD&D insurance, employee assistance, participation in a 401k program, and additional voluntary or legally-required benefits
NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you’d like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.
None
Job Description:About this role:
We are seeking an Enterprise AI Platform - Agentic AI Safety & Security (Lead Artificial Intelligence Solutions Consultant), as part of the Digital Capabilities team under Digital Technology & Innovation.
In this role, you will define and deliver the governance, control, and enablement layer that allows teams across the enterprise to design, deploy, and operate AI agents safely and at scale in regulated environments. You will lead the Agentic AI Safety and Security strategy within our Enterprise AI Platform, and you will partner closely with platform engineering, cybersecurity, risk/compliance, and application teams to build industry leading capabilities such as agent identity and registry, observability and evaluation, responsible AI and data guardrails, and agent behavior controls. This is a high impact role at the intersection of AI innovation, platform product management, and enterprise transformation establishing the trusted agentic foundation that accelerates time to value while ensuring governance, security, and operational excellence.
In this role, you will:
Lead a team to identify, strategize and execute highly complex Artificial Intelligence initiatives that span a line of business
Recommend business strategy and deliver Artificial Intelligence enabling solutions to solve business challenges
Define and prioritize cases, obtain the required resources and ensure the solutions deliver the intended benefits
Leverage Artificial Intelligence expertise to evaluate technological readiness and resources required to execute the proposed solutions
Make decisions to drive the implementation of Artificial Intelligence initiatives and programs while serving multiple stakeholders
Resolve issues which may arise during development or implementation
Collaborate and consult with peers, colleagues and managers to resolve issues and achieve goals
Required Qualifications:
5+ years of Artificial Intelligence Solutions experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
2+ years of experience delivering platform capabilities end to end from discovery and roadmap definition through delivery and adoption with clear success metrics and strong stakeholder alignment
2+ years of hands on experience with cloud platforms such as GCP or Azure, and container orchestration technologies including Docker and Kubernetes/OpenShift
Desired Qualifications:
Experience with agentic AI systems, including planning and routing, tool execution, and multi step workflows, as well as familiarity with common architectural patterns such as retrieval augmented generation (RAG) and orchestrated agent workflows
Familiarity with emerging standards and interoperability patterns for agent to tool and agent to agent connectivity, including concepts similar to MCP style tool integration and A2A communication models
Experience integrating enterprise platforms via APIs and connectors, including designing and operating permission models, identity integration, and secure data access patterns
Experience building developer centric products and platforms, such as registries or marketplaces, SDKs and templates, documentation, onboarding flows, and scalable self service experiences
Understanding of AI governance and risk controls in enterprise environments, including operational guardrails, auditability, compliance considerations, and safe deployment practices
Strong written and verbal communication skills, with the ability to clearly explain complex technical concepts and influence both technical practitioners and business stakeholders
About NTT DATA:
NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us at us.nttdata.com
NTT DATA provides a reasonable range of compensation for U.S.-based positions. The starting pay range for this role is [$75 - $80/hourly]. Actual compensation will depend on a number of factors, including the candidate’s relevant experience, technical skills, and other qualifications. This position is eligible for company benefits including participation in medical, dental, and vision insurance, flexible spending or health savings account, and AD&D insurance, employee assistance, participation in a 401k program, and additional voluntary or legally-required benefits
NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you’d like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.
AI Jobs by Experience Level
Top Cities Hiring AIs
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Who's Hiring
- Booz Allen Hamilton14
- JPMorganChase10
- Johns Hopkins University Applied Physics Laboratory8
- University of San Diego6
- Northwest Bank5
Top Industries Hiring
- Banking & Financial Services
- Education
- Technology & Software
- Healthcare & Medical Services
- Investment & Asset Management
What Employers Look For
The qualifications that appear most often in AI jobs.
- Proficiency in Python and at least one major ML framework such as PyTorch or TensorFlow
- Experience building, training, and evaluating machine learning or deep learning models
- Familiarity with cloud ML platforms such as AWS SageMaker, Google Vertex AI, or Azure ML
- Strong foundation in statistics, linear algebra, and applied mathematics
- Experience deploying models to production and monitoring model performance over time
- Bachelor's or master's degree in computer science, data science, mathematics, or a related field
Tips for Your AI Job Search
Quantify model impact on your resume
Recruiters for ai roles expect concrete outcomes, not task lists. Replace vague bullets with numbers: latency improvements, accuracy gains, or cost reductions your models delivered. If you can't share proprietary figures, describe the scale of data or users affected.
Match your skills to the job stack
AI job postings vary widely in their required frameworks. Before applying, check whether the role emphasizes PyTorch, TensorFlow, JAX, or cloud-native ML services, then mirror that language in your resume and cover note so your application clears automated screening.
Apply early to roles that fit
Migrate Mate lists ai openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Prepare for a technical take-home component
Many ai interview loops include a graded coding or modeling exercise. Ask the recruiter upfront whether one is included, what tools are allowed, and how long it typically takes so you can block the time and set up your environment beforehand.
Address deployment and production experience
Research and production engineering are different skill sets. If you've taken a model past a notebook into a serving pipeline, monitoring setup, or A/B test, call that out explicitly. Employers often filter for this, and candidates without it frequently stall at the hiring-manager screen.
Negotiate scope, not just compensation
In ai roles, the datasets, compute budget, and team structure you'll work with shape your career trajectory as much as salary does. When you reach the offer stage, ask what projects are starting in the next quarter and what the path looks like from your role to staff or principal.
AI Jobs: Frequently Asked Questions
Which companies are hiring the most ais?
The most active employers for ais right now are Booz Allen Hamilton, JPMorganChase, and Johns Hopkins University Applied Physics Laboratory, and the most openings are in California, Texas, and Virginia, based on current listings on Migrate Mate as of November 2026. Hiring is concentrated in technology, financial services, and healthcare organizations building or scaling internal AI capabilities.
How many ai jobs are remote?
About 51% of ai openings are fully remote or hybrid as of November 2026, making it one of the more flexible technical disciplines. Research-oriented roles and those focused on natural language processing or generative AI tend to have the highest share of fully remote options, while roles requiring access to proprietary hardware or on-site data infrastructure are more likely to require in-person work.
How do you become an AI professional?
Start by building a strong foundation in Python, statistics, and linear algebra through coursework or self-study. Work through end-to-end projects that go beyond tutorials, ideally publishing code publicly so employers can review your work. Develop hands-on experience with training, evaluating, and deploying models, then apply for roles that match your current skill set and grow from there.
Can you get an AI job with little or no experience?
Yes, entry-level and associate ai roles exist specifically for candidates who are early in their careers. The most effective way to compete without professional experience is to build a portfolio of independent projects that demonstrate end-to-end work, from data preparation through model evaluation. Contributing to open-source ai projects and writing publicly about your findings also signals practical capability to hiring managers.
What does the AI interview process look like?
Most ai interview loops begin with a recruiter screen, followed by a technical phone interview covering machine learning fundamentals, statistics, and coding. A take-home assignment or live coding exercise typically comes next, requiring candidates to build or debug a model. Final rounds usually include a system design discussion focused on ml architecture and a series of behavioral interviews with the hiring manager and cross-functional stakeholders.
Where can I find and apply to AI jobs?
You can find and apply to ai jobs on Migrate Mate, which lists current openings from employers across the United States. Search for roles that match your skills and experience level, then apply directly to each listing that fits. New postings are added regularly, so checking back frequently gives you access to the latest opportunities as they open.
See All 273+ AI Jobs
Find roles that match your experience and apply in just a few clicks.
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