AI Engineer Jobs at AbbVie with Visa Sponsorship
AbbVie hires AI Engineers to work across drug discovery, clinical data pipelines, and commercial analytics in a heavily regulated biotech environment. The company has an established process for sponsoring work visas across multiple categories, making it a realistic target if you need sponsorship to work in the U.S.
See All AI Engineer at AbbVie JobsOverview
Showing 5 of 32+ AI Engineer Jobs at AbbVie jobs
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
See all 32+ AI Engineer Jobs at AbbVie
Sign up for free to unlock all listings, filter by visa type, and get alerts for new AI Engineer Jobs at AbbVie.
Get Access To All JobsCompany Description
About AbbVie
AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio.
Job Description
The Applied AI Engineer within the Operations Transformation group will be responsible for designing, developing, and implementing AI and machine learning solutions to drive innovation and operational excellence across AbbVie’s manufacturing, supply chain, and quality operations. This role will serve as a translator between technical programming teams and functional business leaders and will work closely with cross-functional teams including Operations, Engineering, IT, and Data Science to deliver AI-powered improvements in efficiency, quality, and agility in a regulated environment.
Key Responsibilities:
- Collaborate with cross-functional stakeholders to identify, prioritize, and define opportunities to apply AI and machine learning to operations challenges (e.g., predictive maintenance, process optimization, quality monitoring)
- Map, analyze, and assess current-state business processes to identify inefficiencies and improvement opportunities, and to inform where AI-enabled solutions can drive the most value
- Translate operations needs into clear AI/ML problem statements and success metrics
- Partner with data science, engineering, and IT teams to select appropriate algorithms, technologies, and tools and ensure solutions meet business and compliance needs
- Support vendor assessment, selection and drive prioritized use cases from initial scoping through technical proof of concept in partnership with engineering, IT, and external vendors
- Partner with automation, robotics, and digital teams to enable intelligent process automation and advanced analytics
- Integrate AI/ML solutions with operations data platforms (MES, SCADA, ERP, IoT) and ensure seamless deployment in production environments
- Establish robust documentation, testing, monitoring, and model management practices to ensure AI solutions remain reliable, explainable, and compliant (GxP, FDA, data privacy)
- Participate in AI governance, best practice development, and continuous improvement initiatives
- Support change management, training, and knowledge transfer to enable successful adoption of AI capabilities within operations
- Stay up-to-date with emerging trends in AI, ML, and manufacturing digital transformations relevant to pharmaceutical operations
Qualifications
- Bachelor’s or Master’s degree in Business, Operations, Computer Science, Data Science, Engineering, or another relevant field, or equivalent practical experience. Advanced degree preferred.
- 5+ years of experience building and deploying AI/ML solutions, preferably in manufacturing, supply chain, or quality environments.
- Strong understanding of AI and machine learning concepts, with prior experience applying them in real-world settings to solve operational or business problems; able to partner effectively with hands-on engineering teams for implementation and deployment.
- Experience integrating AI/ML models into operational/IT systems (MES, SCADA, IoT, ERP, cloud).
- Strong problem-solving, project management, and communication skills.
- Familiarity with GxP, FDA, and data privacy requirements is a plus.
AbbVie is committed to diversity, equity, and inclusion, and we encourage candidates of all backgrounds to apply.
Additional Information
Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law:
- The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more or less than the posted range. This range may be modified in the future.
- We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees.
- This job is eligible to participate in our long-term incentive programs.
Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole and absolute discretion unless and until paid and may be modified at the Company’s sole and absolute discretion, consistent with applicable law.
AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community.
Equal Opportunity Employer/Veterans/Disabled.
US & Puerto Rico only - to learn more, visit US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more:
Company Description
About AbbVie
AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio.
Job Description
The Applied AI Engineer within the Operations Transformation group will be responsible for designing, developing, and implementing AI and machine learning solutions to drive innovation and operational excellence across AbbVie’s manufacturing, supply chain, and quality operations. This role will serve as a translator between technical programming teams and functional business leaders and will work closely with cross-functional teams including Operations, Engineering, IT, and Data Science to deliver AI-powered improvements in efficiency, quality, and agility in a regulated environment.
Key Responsibilities:
- Collaborate with cross-functional stakeholders to identify, prioritize, and define opportunities to apply AI and machine learning to operations challenges (e.g., predictive maintenance, process optimization, quality monitoring)
- Map, analyze, and assess current-state business processes to identify inefficiencies and improvement opportunities, and to inform where AI-enabled solutions can drive the most value
- Translate operations needs into clear AI/ML problem statements and success metrics
- Partner with data science, engineering, and IT teams to select appropriate algorithms, technologies, and tools and ensure solutions meet business and compliance needs
- Support vendor assessment, selection and drive prioritized use cases from initial scoping through technical proof of concept in partnership with engineering, IT, and external vendors
- Partner with automation, robotics, and digital teams to enable intelligent process automation and advanced analytics
- Integrate AI/ML solutions with operations data platforms (MES, SCADA, ERP, IoT) and ensure seamless deployment in production environments
- Establish robust documentation, testing, monitoring, and model management practices to ensure AI solutions remain reliable, explainable, and compliant (GxP, FDA, data privacy)
- Participate in AI governance, best practice development, and continuous improvement initiatives
- Support change management, training, and knowledge transfer to enable successful adoption of AI capabilities within operations
- Stay up-to-date with emerging trends in AI, ML, and manufacturing digital transformations relevant to pharmaceutical operations
Qualifications
- Bachelor’s or Master’s degree in Business, Operations, Computer Science, Data Science, Engineering, or another relevant field, or equivalent practical experience. Advanced degree preferred.
- 5+ years of experience building and deploying AI/ML solutions, preferably in manufacturing, supply chain, or quality environments.
- Strong understanding of AI and machine learning concepts, with prior experience applying them in real-world settings to solve operational or business problems; able to partner effectively with hands-on engineering teams for implementation and deployment.
- Experience integrating AI/ML models into operational/IT systems (MES, SCADA, IoT, ERP, cloud).
- Strong problem-solving, project management, and communication skills.
- Familiarity with GxP, FDA, and data privacy requirements is a plus.
AbbVie is committed to diversity, equity, and inclusion, and we encourage candidates of all backgrounds to apply.
Additional Information
Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law:
- The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more or less than the posted range. This range may be modified in the future.
- We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees.
- This job is eligible to participate in our long-term incentive programs.
Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole and absolute discretion unless and until paid and may be modified at the Company’s sole and absolute discretion, consistent with applicable law.
AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community.
Equal Opportunity Employer/Veterans/Disabled.
US & Puerto Rico only - to learn more, visit US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more:
See all 32+ AI Engineer at AbbVie jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new AI Engineer at AbbVie roles.
Get Access To All JobsTips for Finding AI Engineer Jobs at AbbVie Jobs
Frame Your Portfolio Around Life Sciences AI
AbbVie evaluates AI Engineers on domain relevance, not just technical depth. Projects involving biological datasets, clinical trial modeling, or regulatory-grade data pipelines will carry more weight than general software or consumer AI work.
Confirm Specialty Occupation Fit Before Applying
H-1B approval for AI Engineer roles hinges on demonstrating that the position requires a specific bachelor's degree field. Review USCIS specialty occupation criteria and make sure your degree aligns tightly with the role description before submitting applications.
Target Roles in AbbVie's R&D and Commercial Divisions
AbbVie's AI hiring spans research, oncology, immunology, and commercial analytics. Roles tied to drug development pipelines tend to have clearer specialty occupation justification, which strengthens the H-1B petition your employer files on your behalf.
Request Written Sponsorship Confirmation Before Accepting
Before signing an offer, confirm in writing which visa category AbbVie will sponsor and whether they cover premium processing. Large biotech employers sometimes restrict premium processing to certain seniority levels, which affects your start date planning.
Use Migrate Mate to Find Open AI Engineer Roles at AbbVie
Filter by visa type and role on Migrate Mate to surface active AI Engineer openings at AbbVie that are open to sponsorship. This saves time you'd otherwise spend manually screening job boards for sponsorship eligibility.
AI Engineer at AbbVie jobs are hiring across the US. Find yours.
Find AI Engineer at AbbVie JobsFrequently Asked Questions
Does AbbVie sponsor H-1B visas for AI Engineers?
Yes, AbbVie sponsors H-1B visas for AI Engineer roles. The company has a consistent track record of filing H-1B petitions across its technology and data functions, including positions in R&D and commercial analytics. You should confirm sponsorship eligibility during the recruiter screening call and clarify whether AbbVie covers premium processing for your specific role level.
How do I apply for AI Engineer jobs at AbbVie?
Applications go through AbbVie's careers portal at abbvie.com/careers. You can also browse open AI Engineer roles that include visa sponsorship on Migrate Mate, which filters listings by sponsorship eligibility. Tailor your resume to highlight AI applications in life sciences, such as clinical data modeling or bioinformatics pipelines, since domain alignment matters in biotech hiring.
Which visa types does AbbVie commonly sponsor for AI Engineer roles?
AbbVie sponsors H-1B, H-1B1, E-3, TN, and F-1 OPT and CPT for AI Engineer positions, along with immigrant pathways including EB-2 and EB-3 for permanent residency. The right category depends on your nationality and immigration status. Australian citizens are eligible for the E-3 visa, which skips the H-1B lottery entirely and offers two-year renewable terms.
What qualifications does AbbVie expect for AI Engineer roles?
AbbVie typically looks for a bachelor's or master's degree in computer science, data science, engineering, or a related field. For H-1B purposes, your degree must align with the specific role, so a general business or liberal arts background is unlikely to qualify. Experience with machine learning frameworks, cloud infrastructure, and ideally life sciences data environments strengthens your candidacy significantly.
How long does the visa sponsorship process take for an AbbVie AI Engineer position?
For H-1B cap-subject cases, USCIS registration opens in March for an October 1 start date, so timing your offer around that cycle matters. Premium processing reduces USCIS adjudication to 15 business days once filed. E-3 and TN visas move faster and aren't lottery-dependent. PERM-based Green Card processes run 18 to 36 months from initiation to I-140 approval, depending on DOL backlog.
See which AI Engineer at AbbVie employers are hiring and sponsoring visas right now.
Search AI Engineer at AbbVie Jobs