Entry Level AI Product Engineer Jobs
New grad ai product engineer jobs open doors for recent graduates and entry level candidates with zero to two years of experience, where a strong portfolio or internship work can matter more than a long resume. Most openings mix on-site, remote, and hybrid settings across Technology & Software, Artificial Intelligence, and Education, with employers like Google, Capgemini, and TikTok hiring at this level now.
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At NTT DATA, we know that with the right people on board, anything is possible. The quality, integrity, and commitment of our employees have been key factors in our company's growth and market presence. By hiring the best people and helping them grow both professionally and personally, we ensure a bright future for NTT DATA and for the people who work here.
For more than 25 years, NTT DATA Services have focused on impacting the core of your business operations with industry-leading outsourcing services and automation. With our industry-specific platforms, we deliver continuous value addition, and innovation that will improve your business outcomes. Outsourcing is not just a method of gaining a one-time cost advantage, but an effective strategy for gaining and maintaining competitive advantages when executed as part of an overall sourcing strategy.
NTT DATA Services currently seeks a AI Product Manager to join our team in Jersey City, New Jersey.
Role purpose
Define, prioritize, and deliver AI and GenAI products that solve high-value business problems while satisfying enterprise requirements for risk, security, compliance, usability, adoption, and operational readiness. The role connects business strategy with AI capabilities and measurable outcomes.
Primary ownership
- AI product vision, roadmap, use-case prioritization, business case, and success metrics.
- Product discovery, MVP definition, pilot planning, adoption, measurement, and lifecycle management.
- Cross-functional delivery alignment across business, AI engineering, research, architecture, risk, compliance, legal, cybersecurity, and UX.
- Define product vision, strategy, roadmap, and success metrics for AI and GenAI products across business and enterprise functions.
- Identify and prioritize use cases based on value, feasibility, data readiness, risk profile, user impact, and strategic alignment.
- Translate business needs into product requirements, user stories, acceptance criteria, operating requirements, and measurable outcomes.
- Manage product lifecycle from discovery, experimentation, MVP, pilot, production rollout, adoption, monitoring, and continuous improvement.
- Partner with AI engineers, researchers, data teams, architects, UX, risk, compliance, legal, cybersecurity, and business stakeholders.
- Define KPIs such as adoption, productivity gain, cost reduction, cycle-time reduction, accuracy, risk reduction, user satisfaction, and operational efficiency.
- Ensure AI products include appropriate governance, human oversight, explainability, auditability, and Responsible AI controls.
- Drive user adoption through change management, training, communication, feedback loops, and executive reporting.
- Experience in product management, digital transformation, AI/ML products, data platforms, enterprise technology, or business transformation.
- Strong understanding of AI, GenAI, LLM capabilities, limitations, risks, and enterprise adoption considerations.
- Ability to translate business problems into AI-enabled product opportunities and measurable outcomes.
- Experience working with engineering, data science, research, architecture, risk, compliance, and business stakeholders.
- Strong roadmap management, prioritization, stakeholder engagement, business-case development, and delivery-governance skills.
- Banking, financial services, fintech, risk, operations, compliance, customer service, or enterprise productivity background.
- Experience delivering AI copilots, knowledge assistants, automation tools, analytics products, AI platforms, or data products.
- Familiarity with AI governance, model risk, data privacy, cybersecurity, and Responsible AI requirements.
About NTT DATA Services:
NTT DATA Services is a recognized leader in IT and business services, including cloud, data and applications, headquartered in Texas. As part of NTT DATA, a $30 billion trusted global innovator with a combined global reach of over 80 countries, we help clients transform through business and technology consulting, industry and digital solutions, applications development and management, managed edge-to-cloud infrastructure services, BPO, systems integration and global data centers. We are committed to our clients' long-term success. Visit nttdata.com or LinkedIn to learn more.
NTT DATA Services is an equal opportunity employer and considers all applicants without regarding to race, color, religion, citizenship, national origin, ancestry, age, sex, sexual orientation, gender identity, genetic information, physical or mental disability, veteran or marital status, or any other characteristic protected by law. We are committed to creating a diverse and inclusive environment for all employees. If you need assistance or an accommodation due to a disability, please inform your recruiter so that we may connect you with the appropriate team.
Where required by law, NTT DATA provides a reasonable range of compensation for specific roles. The starting hourly range for this remote role is ($x - x/hourly ). This range reflects the minimum and maximum target compensation for the position across all US locations. Actual compensation will depend on several factors, including the candidate's actual work location, relevant experience, technical skills, and other qualifications.
This position is eligible for company benefits that will depend on the nature of the role offered. Company benefits may include medical, dental, and vision insurance, flexible spending or health savings account, life, and AD&D insurance, short-and long-term disability coverage, paid time off, employee assistance, participation in a 401k program with company match, and additional voluntary or legally required benefits.
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Find JobsEntry Level AI Product Engineer Job Market
Who's Hiring
- Google7
- Capgemini7
- TikTok3
- Esri2
- VetsEZ2
Top Industries Hiring
- Technology & Software34
- Artificial Intelligence8
- Education5
- Consulting & Professional Services4
- Insurance3
Entry Level AI Product Engineer Jobs: Frequently Asked Questions
How do I get an entry level ai product engineer job?
Employers hiring at the entry level look for candidates who can demonstrate hands-on work with AI tools, APIs, or product prototypes, so a GitHub portfolio or a capstone project often carries more weight than years of experience. Familiarity with product thinking, basic machine learning concepts, and cross-functional communication gives candidates a real edge. Targeting companies with dedicated AI product teams and applying to roles that explicitly welcome new graduates sharpens your chances further.
Which companies hire entry level ai product engineers?
Companies hiring entry level ai product engineers right now include Google, Capgemini, and TikTok, based on current listings on Migrate Mate as of July 2026. The mix tends to include fast-growing AI startups, established technology firms building out product teams, and enterprise organizations launching AI-driven features who are willing to develop junior talent from the ground up.
Are there remote entry level ai product engineer jobs?
Yes, though availability varies by employer and team structure. About 34% of entry level ai product engineer openings are remote or hybrid as of July 2026, reflecting how many AI product teams have adopted flexible work models. On-site roles remain common at early-stage startups where in-person collaboration is central to product development, so checking each listing's work setting before applying is worthwhile.
Are these new grad ai product engineer jobs?
Yes, the openings on this page include new grad, recent graduate, and junior ai product engineer roles alongside other entry level listings. A new grad-friendly posting typically welcomes zero to two years of experience, counts internships or co-ops toward requirements, and accepts a portfolio of personal or academic projects in place of professional history. If a job description uses terms like "junior," "associate," or "entry level," it is generally open to new grad applicants.
Which industries hire the most entry level ai product engineers?
Entry Level ai product engineer roles concentrate in Technology & Software, Artificial Intelligence, and Education, based on current listings on Migrate Mate as of July 2026. These sectors drive hiring at the junior level because they are actively integrating AI into their core products and need candidates who can bridge technical implementation and product decision-making, even without an extensive professional background.