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About This Role
We anticipate the application window for this opening will close on \- 24 Jul 2026
Careers that change lives start here. Medtronic is a global leader in healthcare technology with a Mission to alleviate pain, restore health, and extend life. Our 95,000 employees work across more than 150 countries to put patients first — developing innovative medical technologies that improve the lives of 72\+ million patients each year. Your unique talents will help shape the future of healthcare while building a career grounded in purpose, growth, and impact.
A Day in the Life
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At Medtronic, we bring bold ideas forward with speed and decisiveness to put patients first in everything we do. In\-person exchanges are invaluable to our work. We're working onsite 4 days a week as part of our commitment to fostering a culture of professional growth and cross\-functional collaboration as we work together to engineer the extraordinary. The person in this role will work from the Medtronic facility located in Mounds View, Minnesota.
We believe that when people from different cultures, genders, and points of view come together, innovation is the result —and everyone wins. Medtronic walks the walk, creating an inclusive culture where you can thrive. Our unwavering commitment to inclusion, diversity, and equity (ID\&E) means zero barriers to opportunity within Medtronic and a culture where all employees belong, are respected, and feel valued for who they are and the life experiences they contribute. We know equity starts beyond our workplace, and we must play a role in addressing systemic inequities in our communications to achieve long\-term sustainable impact. Anchored in our Mission, we continue to drive ID\&E forward both to enhance the well\-being of Medtronic employees and to accelerate innovation that brings our lifesaving technologies to more people in more places around the world.
Bring your talents to an industry leader in medical technology and healthcare solutions – we’re a market leader and growing every day. You can be proud to be a part of technologies that are rooted in our long history of mission\-driven innovation. You will be empowered to shape your own career. We encourage and support your growth with the training, mentorship, and guidance you need to own your future success. Together, we can transform healthcare. Join us for a career in IT that changes lives.
CAREERS THAT CHANGE LIVES
- Solution Design and Architecture: Collaborate with stakeholders, business analysts, and development teams to understand business requirements and design solutions that align with the organization's objectives. Lead the architectural design process for end\-to\-end automation solutions.
- Technical Expertise: Leverage your in\-depth expertise in automation platforms such as UI Path, Automation Anywhere, connecting our ecosystem through WebMethods and empowering automation through AI and data with platforms such as Databricks and Snowflake to design and implement robust and scalable solutions.
- Architecture Governance: Define and enforce Hyperautomation architecture best practices, standards, and guidelines. Conduct regular reviews of integration projects to ensure adherence to architectural principles and maintain consistency across the ecosystem.
- Governance and Compliance: Establish and enforce integration architecture governance processes, ensuring that projects adhere to architectural standards and compliance requirements. Conduct regular reviews and audits to maintain architectural integrity.
- Team Leadership: Provide indirect technical leadership to solution architects internal and with our partners, guiding them through complex integration challenges, reviewing their work, and fostering skill development within the team. Oversee and influence cross functional diligence on initiatives both before and after the project acquisition.
- Vendor Interaction: Collaborate with vendors and third\-party partners to understand product roadmaps, influence enhancements, and ensure the organization's integration architecture is future\-proof and aligned with industry trends. Foster strong relationships with internal teams and external vendors to facilitate effective collaboration throughout the capabilities.
- Performance Optimization: Analyze and optimize solutions for performance, scalability, and reliability. Identify and address potential bottlenecks and recommend appropriate solutions.
- Documentation and Knowledge Management: Create and maintain comprehensive documentation, including architectural diagrams, design documents, and integration patterns. Drive and own the development of a knowledge repository and solution blueprints.
- Risk Management: Identify and mitigate risks and challenges. Provide recommendations for risk mitigation strategies and contingency plans.
- Stakeholder Engagement: Communicate complex technical concepts to non\-technical stakeholders and executives in a clear and concise manner. Act as a trusted advisor to the business on automation strategy and best practices.
- Innovation: Stay abreast of emerging technologies, trends, and industry developments. Explore and recommend innovative solutions to improve processes, efficiency, and overall system performance.
- Mentorship and guidance to junior solution architects, fostering a culture of continuous learning and development
MUST HAVE (Minimum Qualifications)
- Bachelor’s degree
- 7\+ years of experience with a bachelor’s degree or 5\+ years of experience with an advanced degree
NICE TO HAVE (Preferred Qualifications)
- Strongly Preferred:
+ Previous Medtronic experience
+ Excellent communication skills, fluent spoken and written English.
+ 8\+ years of progressive experience in IT Solution Architecture for Hyperautomation with a bachelor’s degree in computer science, Information technology, or a related field.
+ Excellent communication skills and stakeholder management abilities, including the ability to present technical concepts to non\-technical audiences.
+ Very deep technical understanding of the broad set of Hyperautomation capabilities, combined with a deeper expert understanding in at least one or two of the Hyperautomation capabilities such as (Gen)AI, Process Mining or IPA/RPA, to spot and compare cross technology solutions to an automation opportunity.
+ Strong architectural understanding of and experience in cloud infrastructure such as AWS and or Azure and AI platforms such as Databricks and data warehouses / AI platforms such as Snowflake.
+ Ability to lead the architectural solution design, development, deployment, and technical quality of large enterprise or global solutions that span multiple technologies and disciplines.
+ Be able to provide architectural direction for multiple projects/programs concurrently in various stages of their lifecycle.
+ Ability to understand the customer's business problem, need, or opportunity and to design a solution that completely and correctly addresses the business problem, need, or opportunity without unnecessary enhancements.
+ Proven ability to work as a team player, delivering quality results within defined timelines.
- Previous Medtronic experience
- Master’s Degree in IT, Computer Science, or related field.
- Experience in change management, as it relates to a culture and mindset of a complex organization including capabilities building, process design, ownership, and implementation.
- Prior experience managing a global organization including internal and external stakeholders.
For Baccalaureate degrees earned outside of the United States, a degree that satisfies the requirements of 8 C.F.R. § 214\.2(h)(4\)(iii)(A) is required.
Physical Job Requirements
The above statements are intended to describe the general nature and level of work being performed by employees assigned to this position, but they are not an exhaustive list of all the required responsibilities and skills of this position.
The physical demands described within the Responsibilities section of this job description are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. For Office Roles: While performing the duties of this job, the employee is regularly required to be independently mobile. The employee is also required to interact with a computer, and communicate with peers and co\-workers. Contact your manager or local HR to understand the Work Conditions and Physical requirements that may be specific to each role.
U.S. Work Authorization \& Sponsorship
At Medtronic, we are committed to fostering an environment where employees can thrive and make a meaningful impact. In alignment with our enterprise\-wide workforce planning approach, U.S. work authorization sponsorship (H\-1B, TN, J, etc.) is offered exclusively for Principal\-level roles and above, where specialized expertise aligns with long\-term business needs. Roles below the Principal level require candidates to possess unrestricted U.S. work authorization at the time of hire and for the duration of employment.
Recruitment Fraud Alert
We are aware of phishing scams targeting job seekers. Please keep the following in mind:
Apply only through official Medtronic channels. All legitimate Medtronic recruiting communications come from approved Medtronic platforms and official @medtronic.com email addresses.
Medtronic will never ask for payment or sensitive personal information (such as bank account or Social Security details) during early stages of the hiring process. Any such requests are not legitimate.
If you receive a suspicious message claiming to be from Medtronic, do not respond, click links, or open attachments.
If you have any questions, concerns regarding the authenticity of a communication alleged to have been made by or on behalf of Medtronic, please contact us immediately at [email protected] .
Benefits \& Compensation
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Medtronic offers a competitive Salary and flexible Benefits Package
A commitment to our employees lives at the core of our values. We recognize their contributions. They share in the success they help to create. We offer a wide range of benefits, resources, and competitive compensation plans designed to support you at every career and life stage.
Salary ranges for U.S (excl. PR) locations (USD):$132,800\.00 \- $199,200\.00
This position is eligible for a short\-term incentive called the Medtronic Incentive Plan (MIP).
The base salary range is applicable across the United States, excluding Puerto Rico and specific locations in California. The offered rate complies with federal and local regulations and may vary based on factors such as experience, certification/education, market conditions, and location. Compensation and benefits information pertains solely to candidates hired within the United States (local market compensation and benefits will apply for others).
The following benefits and additional compensation are available to those regular employees who work 20\+ hours per week: Health, Dental and vision insurance , Health Savings Account , Healthcare Flexible Spending Account , Life insurance, Long\-term disability leave , Dependent daycare spending account , Tuition assistance/reimbursement , and Simple Steps (global well\-being program).
The following benefits and additional compensation are available to all regular employees: Incentive plans, 401(k) plan plus employer contribution and match , Short\-term disability , Paid time off , Paid holidays , Employee Stock Purchase Plan , Employee Assistance Program , Non\-qualified Retirement Plan Supplement (subject to IRS earning minimums) , and Capital Accumulation Plan (available to Vice Presidents and above, or subject to IRS earning minimums).
Regular employees are those who are not temporary, such as interns. Temporary employees are eligible for paid sick time, as required under applicable state law, and the Employee Stock Purchase Plan. Please note some of the above benefits may not apply to workers in Puerto Rico.
Further details are available at the link below:
Medtronic benefits and compensation plans
It is the policy of Medtronic to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, Medtronic will provide reasonable accommodations for qualified individuals with disabilities.
If you are applying to perform work for Medtronic, Inc. (“Medtronic”) in any position which will involve performing at least two (2\) hours of work on average each week within the unincorporated areas of Los Angeles County, you can find here a list of all material job duties of the specific job position which Medtronic reasonably believes that criminal history may have a direct, adverse and negative relationship potentially resulting in the withdrawal of a conditional offer of employment. Medtronic will consider for employment qualified job applicants with arrest or conviction records in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.
Salary Context
This $132K-$199K range is below the median for AI/ML Engineer roles in our dataset (median: $180K across 1841 roles with salary data).
View full AI/ML Engineer salary data →Role Details
About This Role
AI/ML Engineers build and deploy machine learning models in production. They work across the full ML lifecycle: data pipelines, model training, evaluation, and serving infrastructure. The role has evolved significantly over the past two years. Where ML Engineers once spent most of their time on model architecture, the job now tilts heavily toward inference optimization, cost management, and integrating LLM capabilities into existing systems. Companies want engineers who can ship production systems, and the experimenter-only role is fading fast.
Day-to-day, you're writing training pipelines, debugging data quality issues, setting up evaluation frameworks, and figuring out why your model performs differently in staging than it did on your dev set. The best ML engineers are obsessive about reproducibility and measurement. They instrument everything. They know that a model is only as good as the data feeding it and the infrastructure serving it.
Across the 3,708 AI roles we're tracking, AI/ML Engineer positions make up 70% of the market. At Medtronic, this role fits into their broader AI and engineering organization.
Demand for AI/ML Engineers has been strong and consistent. Unlike some AI roles that spike with hype cycles, ML engineering is a foundational need. Every company deploying AI models needs people who can keep them running, and the gap between research prototypes and production systems keeps growing.
What the Work Looks Like
A typical week might include: debugging a data pipeline that's silently dropping 3% of training examples, running A/B tests on a new model version, writing documentation for a feature flag system that lets you roll back model deployments, and reviewing a junior engineer's PR for a new evaluation metric. Meetings tend to be cross-functional since ML touches product, engineering, and data teams.
Demand for AI/ML Engineers has been strong and consistent. Unlike some AI roles that spike with hype cycles, ML engineering is a foundational need. Every company deploying AI models needs people who can keep them running, and the gap between research prototypes and production systems keeps growing.
Skills Required
Python and PyTorch dominate the requirements. Most roles expect experience with cloud platforms (AWS, GCP, or Azure) and familiarity with ML frameworks like TensorFlow or JAX. RAG (Retrieval-Augmented Generation) has become a top-3 skill requirement as companies integrate LLMs into their products. Docker and Kubernetes show up in about a third of postings, reflecting the production focus of the role.
Beyond the core stack, employers increasingly want experience with experiment tracking tools (MLflow, Weights & Biases), feature stores, and vector databases. Fine-tuning experience is valuable but less common than you'd think from reading Twitter. Most production LLM work is RAG and prompt engineering, not fine-tuning. If you have both, you're in a strong position.
Companies that are serious about AI/ML hiring tend to post specific infrastructure details in the job description: the frameworks they use, their model serving stack, their data pipeline tools. Vague postings that just say 'ML experience required' without specifics are often companies that haven't figured out what they need yet.
Compensation Benchmarks
AI/ML Engineer roles pay a median of $218,750 based on 3,817 positions with disclosed compensation. Senior-level AI roles across all categories have a median of $230,000. This role's midpoint ($166K) sits 24% below the category median. Disclosed range: $132K to $199K.
Across all AI roles, the market median is $217,500. Top-quartile compensation starts at $272,100. The 90th percentile reaches $325,000. For comparison, the highest-paying categories include AI Safety ($300,000) and Research Engineer ($280,000). By seniority level: Entry: $120,000; Mid: $200,000; Senior: $230,000; Director: $272,150; VP: $250,000.
Medtronic AI Hiring
Medtronic has 2 open AI roles right now. They're hiring across AI/ML Engineer. Positions span Newton, MA, US, Mounds View, MN, US. Compensation range: $199K - $241K.
Location Context
Across all AI roles, 14% (508 positions) offer remote work, while 3,180 require on-site attendance. Top AI hiring metros: New York (1,045 roles, $220,000 median); San Francisco (810 roles, $277,088 median); Los Angeles (397 roles, $215,000 median).
Career Path
Common paths into AI/ML Engineer roles include Data Scientist, Software Engineer, Research Engineer.
From here, career progression typically leads toward ML Architect, AI Engineering Manager, Principal ML Engineer.
The fastest path into ML engineering is through software engineering with a self-directed ML education. A CS degree helps, but production engineering skills matter more than academic credentials. Build something that works, deploy it, and measure it. That portfolio project is worth more than a Coursera certificate. For career growth, the fork comes around the senior level: go deep on technical complexity (staff/principal track) or move into managing ML teams.
What to Expect in Interviews
Expect system design questions around ML pipelines: how you'd build a training pipeline for a specific use case, handle data drift, or design A/B testing infrastructure for model deployments. Coding rounds typically involve Python, with emphasis on data manipulation (pandas, numpy) and algorithm implementation. Take-home assignments often ask you to build an end-to-end ML pipeline from raw data to deployed model.
When evaluating opportunities: Companies that are serious about AI/ML hiring tend to post specific infrastructure details in the job description: the frameworks they use, their model serving stack, their data pipeline tools. Vague postings that just say 'ML experience required' without specifics are often companies that haven't figured out what they need yet.
AI Hiring Overview
The AI job market has 3,708 open positions tracked in our dataset. By seniority: 102 entry-level, 1,705 mid-level, 1,469 senior, and 432 leadership roles (Director, VP, C-Level). Remote roles make up 14% of the market (508 positions). The remaining 3,180 roles require on-site or hybrid attendance.
The market median for AI roles is $217,500. Top-quartile compensation starts at $272,100. The 90th percentile reaches $325,000. Highest-paying categories: AI Safety ($300,000 median, 21 roles); Research Engineer ($280,000 median, 147 roles); AI Architect ($254,798 median, 67 roles).
Demand for AI/ML Engineers has been strong and consistent. Unlike some AI roles that spike with hype cycles, ML engineering is a foundational need. Every company deploying AI models needs people who can keep them running, and the gap between research prototypes and production systems keeps growing.
The AI Job Market Today
The AI job market spans 3,708 open positions across 16 role categories. The largest categories by volume: AI/ML Engineer (2,605), Data Scientist (310), AI Software Engineer (259). These three account for the majority of open positions, though smaller categories often have higher per-role compensation because of specialized skill requirements.
The seniority mix tells a story about where AI teams are in their maturity. Entry-level roles (102) are outnumbered by mid-level (1,705) and senior (1,469) positions, reflecting that most companies are past the 'build a team from scratch' phase and need experienced engineers who can ship production systems. Leadership roles (Director, VP, C-Level) total 432 positions, representing the bottleneck between technical execution and organizational strategy.
Remote work availability sits at 14% of all AI roles (508 positions), with 3,180 requiring on-site or hybrid attendance. The remote share has stabilized after the post-pandemic correction. Senior and specialized roles (Research Scientist, ML Architect) are more likely to be remote-eligible than entry-level positions, partly because experienced hires have more negotiating power and partly because these roles require less hands-on mentorship.
AI compensation is structured in clear tiers. The market median sits at $217,500. Top-quartile roles start at $272,100, and the 90th percentile reaches $325,000. These figures include base salary with disclosed compensation. Total compensation (including equity, bonuses, and sign-on) runs 20-40% higher at companies that offer those components.
Category matters for compensation. AI Safety roles lead at $300,000 median, while Prompt Engineer roles sit at $140,000. The spread between highest and lowest-paying categories reflects the premium on specialized technical skills versus broader analytical roles.
The most in-demand skills across all AI postings: Python (1,890 postings), Aws (1,103 postings), Azure (877 postings), Rag (855 postings), Gcp (631 postings), Prompt Engineering (560 postings), Pytorch (545 postings), Claude (498 postings). Python dominates, appearing in the vast majority of role descriptions regardless of category. Cloud platform experience (AWS, GCP, Azure) is the second most common requirement. The newer entrants to the top skills list (RAG, vector databases, LLM APIs) reflect the shift from traditional ML toward generative AI applications.
Frequently Asked Questions
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