AI Product Engineer Visa Sponsorship Jobs in Maryland
Maryland's AI product engineer job market is anchored by federal contractors and technology firms in the Baltimore-Washington corridor, with major employers including Booz Allen Hamilton, Leidos, and Northrop Grumman regularly seeking AI talent. The state's proximity to federal agencies and a strong university research pipeline makes it a consistent source of visa sponsorship opportunities.
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Get Access To All JobsLocation Gaithersburg, Maryland, United States
Job ID R-252953
Date posted 21/05/2026
Make a greater impact on lives through a digitally enabled enterprise.
We are working towards our aspiration of crafting the future of Pharma. Backed by investment at every step, we harness the latest technology, data, and innovative ways of working to introduce new approaches that put Digital at AstraZeneca’s heart.
Be part of a chapter that’s still being written. Trusted and empowered to change the way things are done, with the tools and support to get you there. Here we are free to unleash our curiosity and turn thinking into reality where smart risks and quick decisions come together to power disruption and innovation.
This is a product leadership role: you will own the end-to-end lifecycle of AI-powered applications that go into the hands of field and headquarters teams, driving decisions that affect patients and brands at scale.
The Role:
The Director, AI Product Development is part of the AI for Commercial (AIC) team within the newly founded Enterprise AI organization. You will lead the design, build, launch, and adoption of GenAI and ML-powered products that serve Global and US functions including commercial, medical, market access, and patient programs. You define the roadmap, drive cross-functional execution, and are accountable for measured business impact.
Key Responsibilities
- Own the full AI product lifecycle: from problem definition and customer research through AI development, UX design, deployment, adoption, and measurement. This means shipping products, not delivering reports.
- Lead GenAI and agentic AI product development. Define product requirements and functional specifications for AI-powered applications, agentic workflows, and ML-driven tools serving medical, commercial, and field teams.
- Translate business questions into product requirements. Partner with Marketing, Medical Affairs, GIBEX, Field Operations, and IT to align product capabilities with brand objectives, field workflows, and launch timelines.
- Partner with technical delivery leads, engineering, and data science teams to translate requirements into scalable and governed solutions, ensure high-quality, timely execution. Establish clear RACI, maintain alignment on priorities, and drive accountability across a cross-functional delivery model.
- Drive adoption and impact measurement. Define success criteria before launch; track usage, output quality, and downstream business impact post-launch. Communicate results to leadership with clarity.
- Operate within enterprise AI governance. Navigate compliance requirements, data access controls, vendor management, and IT approval processes. Ensure all products are deployed responsibly and with appropriate documentation.
- Stay current with GenAI, agentic AI, and pharma AI trends. Identify emerging capabilities with strategic fit, pilot solutions with speed and rigor, and champion a platform-centric approach that enables reuse, scalability, and accelerated deployment across functions and markets.
Minimum Requirements
- Bachelor's degree in a quantitative field (Computer Science, Statistics, Engineering, Economics, or equivalent); advanced degree preferred
- 7+ years of experience building and shipping data science or AI products in a commercial setting; 3+ years of experience in building Gen AI tools and platforms.
- Demonstrated experience owning an AI product end-to-end: requirements, development, deployment, and post-launch measurement
- Familiarity with LLMs, prompt engineering, RAG architectures, and/or agentic frameworks (e.g., LangChain, LlamaIndex, or similar)
- Fluency in Python and ML/AI tooling; experience with cloud platforms (AWS, Azure, or GCP)
- Strong product thinking: ability to define user needs, write clear requirements, prioritize a backlog, and communicate tradeoffs to customers
- 3+ years in Pharmaceutical or Life Sciences; familiarity with commercial data and field-facing workflows
Desirable Requirements
- Experience building GenAI products under enterprise governance requirements
- Background spanning multiple functions: Commercial, Medical Affairs, Market Access, or Insights & Analytics
- Demonstrated ability to drive user adoption: training, change management, and usage analytics
- Experience managing external suppliers and consultants against defined deliverables and timelines
- Strong executive communication skills; comfortable presenting product roadmaps and cases to senior leadership in a matrixed organization
When we put unexpected teams in the same room, we unleash bold thinking with the power to encourage life-changing medicines. In-person working gives us the platform we need to connect, work at pace and challenge perceptions. That's why we work, on average, a minimum of three days per week from the office. But that doesn't mean we're not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world.
The annual base pay for this position ranges from $186,014 - $279,022 USD Annual. Hourly and salaried non-exempt employees will also be paid overtime pay when working qualifying overtime hours. Base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. In addition, our positions offer a short-term incentive bonus opportunity; eligibility to participate in our equity-based long-term incentive program (salaried roles), to receive a retirement contribution (hourly roles), and commission payment eligibility (sales roles). Benefits offered included a qualified retirement program [401(k) plan]; paid vacation and holidays; paid leaves; and, health benefits including medical, prescription drug, dental, and vision coverage in accordance with the terms and conditions of the applicable plans. Additional details of participation in these benefit plans will be provided if an employee receives an offer of employment. If hired, employee will be in an “at-will position” and the Company reserves the right to modify base pay (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors.
Are you ready to bring new insights and fresh thinking to the table? Fantastic! We have one seat available, and we hope it’s yours. Apply today.
AstraZeneca embraces diversity and equality of opportunity. We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills. We believe that the more inclusive we are, the better our work will be. We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics. We follow all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements.
Date Posted
22-May-2026
Closing Date
04-Jun-2026
Our mission is to build an inclusive environment where equal employment opportunities are available to all applicants and employees. In furtherance of that mission, we welcome and consider applications from all qualified candidates, regardless of their protected characteristics. If you have a disability or special need that requires accommodation, please complete the corresponding section in the application form.
Location Gaithersburg, Maryland, United States
Job ID R-252953
Date posted 21/05/2026
Make a greater impact on lives through a digitally enabled enterprise.
We are working towards our aspiration of crafting the future of Pharma. Backed by investment at every step, we harness the latest technology, data, and innovative ways of working to introduce new approaches that put Digital at AstraZeneca’s heart.
Be part of a chapter that’s still being written. Trusted and empowered to change the way things are done, with the tools and support to get you there. Here we are free to unleash our curiosity and turn thinking into reality where smart risks and quick decisions come together to power disruption and innovation.
This is a product leadership role: you will own the end-to-end lifecycle of AI-powered applications that go into the hands of field and headquarters teams, driving decisions that affect patients and brands at scale.
The Role:
The Director, AI Product Development is part of the AI for Commercial (AIC) team within the newly founded Enterprise AI organization. You will lead the design, build, launch, and adoption of GenAI and ML-powered products that serve Global and US functions including commercial, medical, market access, and patient programs. You define the roadmap, drive cross-functional execution, and are accountable for measured business impact.
Key Responsibilities
- Own the full AI product lifecycle: from problem definition and customer research through AI development, UX design, deployment, adoption, and measurement. This means shipping products, not delivering reports.
- Lead GenAI and agentic AI product development. Define product requirements and functional specifications for AI-powered applications, agentic workflows, and ML-driven tools serving medical, commercial, and field teams.
- Translate business questions into product requirements. Partner with Marketing, Medical Affairs, GIBEX, Field Operations, and IT to align product capabilities with brand objectives, field workflows, and launch timelines.
- Partner with technical delivery leads, engineering, and data science teams to translate requirements into scalable and governed solutions, ensure high-quality, timely execution. Establish clear RACI, maintain alignment on priorities, and drive accountability across a cross-functional delivery model.
- Drive adoption and impact measurement. Define success criteria before launch; track usage, output quality, and downstream business impact post-launch. Communicate results to leadership with clarity.
- Operate within enterprise AI governance. Navigate compliance requirements, data access controls, vendor management, and IT approval processes. Ensure all products are deployed responsibly and with appropriate documentation.
- Stay current with GenAI, agentic AI, and pharma AI trends. Identify emerging capabilities with strategic fit, pilot solutions with speed and rigor, and champion a platform-centric approach that enables reuse, scalability, and accelerated deployment across functions and markets.
Minimum Requirements
- Bachelor's degree in a quantitative field (Computer Science, Statistics, Engineering, Economics, or equivalent); advanced degree preferred
- 7+ years of experience building and shipping data science or AI products in a commercial setting; 3+ years of experience in building Gen AI tools and platforms.
- Demonstrated experience owning an AI product end-to-end: requirements, development, deployment, and post-launch measurement
- Familiarity with LLMs, prompt engineering, RAG architectures, and/or agentic frameworks (e.g., LangChain, LlamaIndex, or similar)
- Fluency in Python and ML/AI tooling; experience with cloud platforms (AWS, Azure, or GCP)
- Strong product thinking: ability to define user needs, write clear requirements, prioritize a backlog, and communicate tradeoffs to customers
- 3+ years in Pharmaceutical or Life Sciences; familiarity with commercial data and field-facing workflows
Desirable Requirements
- Experience building GenAI products under enterprise governance requirements
- Background spanning multiple functions: Commercial, Medical Affairs, Market Access, or Insights & Analytics
- Demonstrated ability to drive user adoption: training, change management, and usage analytics
- Experience managing external suppliers and consultants against defined deliverables and timelines
- Strong executive communication skills; comfortable presenting product roadmaps and cases to senior leadership in a matrixed organization
When we put unexpected teams in the same room, we unleash bold thinking with the power to encourage life-changing medicines. In-person working gives us the platform we need to connect, work at pace and challenge perceptions. That's why we work, on average, a minimum of three days per week from the office. But that doesn't mean we're not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world.
The annual base pay for this position ranges from $186,014 - $279,022 USD Annual. Hourly and salaried non-exempt employees will also be paid overtime pay when working qualifying overtime hours. Base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. In addition, our positions offer a short-term incentive bonus opportunity; eligibility to participate in our equity-based long-term incentive program (salaried roles), to receive a retirement contribution (hourly roles), and commission payment eligibility (sales roles). Benefits offered included a qualified retirement program [401(k) plan]; paid vacation and holidays; paid leaves; and, health benefits including medical, prescription drug, dental, and vision coverage in accordance with the terms and conditions of the applicable plans. Additional details of participation in these benefit plans will be provided if an employee receives an offer of employment. If hired, employee will be in an “at-will position” and the Company reserves the right to modify base pay (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors.
Are you ready to bring new insights and fresh thinking to the table? Fantastic! We have one seat available, and we hope it’s yours. Apply today.
AstraZeneca embraces diversity and equality of opportunity. We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills. We believe that the more inclusive we are, the better our work will be. We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics. We follow all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements.
Date Posted
22-May-2026
Closing Date
04-Jun-2026
Our mission is to build an inclusive environment where equal employment opportunities are available to all applicants and employees. In furtherance of that mission, we welcome and consider applications from all qualified candidates, regardless of their protected characteristics. If you have a disability or special need that requires accommodation, please complete the corresponding section in the application form.
AI Product Engineer Job Roles in Maryland
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Search AI Product Engineer Jobs in MarylandAI Product Engineer Jobs in Maryland: Frequently Asked Questions
Which companies sponsor visas for AI product engineers in Maryland?
Federal technology contractors are among the most active sponsors in Maryland, including Booz Allen Hamilton, Leidos, Northrop Grumman, and SAIC. Commercial tech firms with Maryland offices, such as T. Rowe Price and Citigroup's technology divisions, also sponsor AI product engineers. Given Maryland's proximity to federal agencies, many sponsoring employers work on government contracts requiring AI and machine learning product development.
Which visa types are most common for AI product engineer roles in Maryland?
The H-1B visa is the most common visa category for AI product engineers in Maryland, as the role typically qualifies as a specialty occupation requiring at least a bachelor's degree in computer science, AI, or a related field. Candidates with advanced degrees may also see employers file under the EB-2 or EB-3 immigrant visa categories for permanent residence pathways after initial nonimmigrant status.
Which cities in Maryland have the most AI product engineer sponsorship jobs?
Bethesda and Rockville in Montgomery County concentrate the highest density of AI product engineer sponsorship roles, driven by federal contractor headquarters and biotech-adjacent tech firms. Baltimore also has a growing presence, particularly around the Johns Hopkins University and University of Maryland technology ecosystems. Annapolis Junction and Columbia attract defense and cybersecurity-focused AI employers as well.
How to find ai product engineer visa sponsorship jobs in Maryland?
Migrate Mate is specifically built for international job seekers and filters AI product engineer roles in Maryland by visa sponsorship availability, saving you from manually screening hundreds of postings. Because Maryland's market is heavily contractor-driven, Migrate Mate's filters help you identify which employers have an active sponsorship history, which is especially useful when navigating federal contractor hiring patterns.
Are there state-specific considerations for AI product engineers seeking sponsorship in Maryland?
Maryland's concentration of federal contractors means many AI product engineer roles require security clearances, which can complicate sponsorship since clearances are generally not available to non-U.S. persons during the H-1B period. Candidates should focus on commercial AI product roles or contractor positions explicitly open to visa holders. The University of Maryland and Johns Hopkins also feed strong OPT talent pipelines that employers in the region are familiar with.
What is the prevailing wage for sponsored ai product engineer jobs in Maryland?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.