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Ai Integration Engineer Jobs in Vermont (NOW HIRING)

AI Engineer

Montpelier, VT · On-site

$50K - $112K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... Integrating data from various sources to create unified views for analysis - Building and ... AI engineering What You Must Have - At least a Bachelor's degree or, in lieu of a degree ...

Title: Agentic AI Engineer Location: US - Remote / Hybrid (multiple locations) Type: Full-time or ... Integrate LLM APIs (OpenAI, Anthropic, Gemini) into reliable, production-grade workflows * Deploy ...

ERP AI Engineer - Manager

Montpelier, VT · On-site

$99K - $232K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... integration and utilisation of business applications, enabling clients to achieve their strategic ... in AI/ML engineering, data science, or a related technical role What Sets You Apart - Master ...

US Tech - AI Engineering Manager

Montpelier, VT

$73K - $244K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

As a Manager you will combine engineering knowledge with people leadership to deliver resilient platforms that integrate cloud infrastructure, conversational AI, data, and enterprise systems. This ...

CTIO AI Engineering Manager

Montpelier, VT

$73K - $244K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... integrated into various platforms - Managing CI/CD pipelines for AI systems using GitHub Actions ... into software-engineered AI solutions - Deploying on cloud platforms like AWS, GCP, Azure ...

US Tech - AI Engineering Senior Associate

Montpelier, VT · On-site

$55K - $187K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... engineering, AI/ML engineering, or quality engineering - In lieu of a Bachelor's Degree ... integrations with Power Automate platform - Executing LLM evaluation frameworks using defined ...

The best AI available today can confidently resolve maybe 60% of what a practice hears in a day ... You'll scope those integration requirements alongside our engineering team and design agent ...

Technical Architect - Data, Analytics & AI

Burlington, VT · Hybrid

$62.75 - $80.75/hr

  • Medical

  • Life

  • Retirement

  • PTO

Guide the integration of AI/ML capabilities into analytics platforms , including predictive, prescriptive, and generative AI use cases. * Collaborate with Data Science, Engineering, Security, and ...

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Showing results 1-20

Ai Integration Engineer information

See Vermont salary details

$47.3K

$132.1K

$184.5K

How much do ai integration engineer jobs pay per year?

As of Aug 15, 2026, the average yearly pay for ai integration engineer in Vermont is $132,136.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,600.00 and $148,900.00 per year, depending on experience, location, and employer.

What are some common challenges faced by AI integration engineers when deploying machine learning models into existing business systems?

AI Integration Engineers often encounter challenges such as ensuring compatibility between machine learning models and legacy systems, managing data privacy and security, and optimizing model performance for real-time applications. They must also address issues related to model scalability and monitoring, as well as facilitate smooth collaboration between data science, IT, and business teams. Overcoming these challenges requires strong problem-solving skills, effective communication, and a deep understanding of both AI technologies and enterprise infrastructure.

What are the key skills and qualifications needed to thrive as an AI integration engineer, and why are they important?

To thrive as an AI Integration Engineer, you need a solid background in computer science, programming (Python, Java, or similar), and experience with AI/ML frameworks, often supported by a bachelor's degree in a related field. Familiarity with cloud platforms (such as AWS, Azure, or Google Cloud), API development, and tools like TensorFlow or PyTorch is typically required. Strong problem-solving abilities, collaboration, and clear communication are essential soft skills for bridging technical and business needs. These competencies ensure successful deployment and seamless integration of AI solutions into existing systems, driving innovation and business value.

What is the difference between Ai Integration Engineer vs Data Scientist?

AspectAi Integration EngineerData Scientist
Required CredentialsBachelor's in CS, Engineering, or related; certifications in AI/ML toolsBachelor's or higher in CS, Statistics, or related; advanced degrees common
Work EnvironmentDeveloping and deploying AI solutions, integrating AI APIs into applicationsAnalyzing data, building predictive models, interpreting complex datasets
Employer & Industry UsageTech companies, AI service providers, software firmsResearch institutions, tech companies, finance, healthcare

While both roles involve AI, the Ai Integration Engineer focuses on implementing and integrating AI solutions into applications, whereas the Data Scientist analyzes data to develop models and insights. The roles often overlap but differ mainly in their primary focus: deployment versus analysis.

What is an AI integration engineer?

AI Integration Engineers are professionals who specialize in implementing artificial intelligence solutions into existing systems, products, or workflows. They work closely with data scientists, software developers, and business teams to ensure that AI models and technologies are effectively deployed and seamlessly integrated. Their responsibilities often include customizing AI tools, developing APIs, ensuring data compatibility, and monitoring performance post-integration. These engineers play a crucial role in bridging the gap between AI research and practical business applications.

Are AI Integration Engineers highly paid?

AI Integration Engineers typically earn higher-than-average salaries due to their specialized skills in AI systems, programming, and data analysis. Compensation varies based on experience, location, and industry, but they are generally well-compensated compared to many other engineering roles.

What cities in Vermont are hiring for Ai Integration Engineer jobs?

Cities in Vermont with the most Ai Integration Engineer job openings:

Infographic showing various Ai Integration Engineer job openings in Vermont as of June 2026, with employment types broken down into 81% Full Time, and 19% Contract. Highlights an 82% In-person, 9% Hybrid, and 9% Remote job distribution, with an average salary of $132,136 per year, or $63.5 per hour.

Principal Technical Engineer 3rd Party IP Engineer

Marvell

Burlington, VT

Full-time

Life, Retirement

Posted 18 days ago


Job description

About Marvell

Marvell's semiconductor solutions are the essential building blocks of the data infrastructure that connects our world. Across enterprise, cloud and AI, and carrier architectures, our innovative technology is enabling new possibilities.

At Marvell, you can affect the arc of individual lives, lift the trajectory of entire industries, and fuel the transformative potential of tomorrow. For those looking to make their mark on purposeful and enduring innovation, above and beyond fleeting trends, Marvell is a place to thrive, learn, and lead.

Your Team, Your Impact

As a Principal Technical Engineer 3rd Party IP Engineer with Marvell, you'll be a member of the Central Engineering business group. If you picture Marvell as a wheel, Central Engineering is the center hub providing IP to be used by all the other spokes on that wheel, including Storage, Security, and Networking. You'll be part of the 3rd party IP management team. In this role, you will work in parallel with a team of 3rd party IP engineers responsible for bringing in all subcontracted IP under the Marvell IP umbrella. This is a dynamic and challenging role, and, in this position, you will engage all parts of Marvell.

What You Can Expect

Looking for a talented 3rd party IP integration engineer to assist Marvell in offering DDR/LPDDR/GDDR/HBM/eMMC memory interface cores to our clients. Become part of a team creating leading-edge designs for the latest applications in artificial intelligence, hyper-scaler, communications, and storage. As a 3rd party core integrator, you will be involved in all stages of SoC development including defining core requirements, validating IP developer competence, overseeing core development, technology compliance, core integration, test compliance and silicon validation.

You will assist sales in winning bids by working with leading edge IP providers to meet customer requirements. You will manage 3rd party developers in completing core designs and providing required design rules. You will advise the Marvell design center on core integration into custom silicon designs and hold joint reviews with the design center and 3rd party IP provider. Post-silicon validation at customer sites will require a limited degree of travel. Responsibilities will also include developing statements of work, leading provider progress reviews, using 3rd party developer problem reporting tools to drive to problem resolution. You will assist with 8D follow-through for significant supplier issues.

What We're Looking For

  • Bachelor's degree in Computer Science, Electrical Engineering or related fields and 5-10 years of related professional experience or Master's degree and/or PhD in Computer Science, Electrical Engineering or related fields with 3-5 years of experience or equivalent professional experience in lieu of a formal degree

  • Proficient in understanding of DDR type interfaces (DDR, LPDDR, GDDR, HBM, eMMC), including the challenges associated with SoC PHY integration, timing analysis, packaging, and multi-chip integrated packaging

  • Proficient in project management tasks required to manage 3rd party developers

  • Broad-based exposure to ASIC design flows required for releasing a chip to fabrication including logic synthesis, physical design, timing, DRC/LVS, Formal verification and electrical checking

  • Good understanding of Design-For-Test concepts including DFT logic insertion, test generation, scan and embedded core testing

  • Good communication and customer management skills

Expected Base Pay Range (USD)

152,300 - 225,440, $ per annum

The successful candidate's starting base pay will be determined based on job-related skills, experience, qualifications, work location and market conditions. The expected base pay range for this role may be modified based on market conditions.

Additional Compensation and Benefit Elements

Marvell is committed to providing exceptional, comprehensive benefits that support our employees at every stage - from internship to retirement and through life's most important moments. Our offerings are built around four key pillars: financial well-being, family support, mental and physical health, and recognition. Highlights include an employee stock purchase plan with a 2-year look back, family support programs to help balance work and home life, robust mental health resources to prioritize emotional well-being, and a recognition and service awards to celebrate contributions and milestones. We look forward to sharing more with you during the interview process.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status.

Any applicant who requires a reasonable accommodation during the selection process should contact Marvell HR Helpdesk at TAOps@marvell.com.

Interview Integrity

To support fair and authentic hiring practices, candidates are not permitted to use AI tools (such as transcription apps, real-time answer generators like ChatGPT or Copilot, or automated note-taking bots) during interviews.

These tools must not be used to record, assist with, or enhance responses in any way. Our interviews are designed to evaluate your individual experience, thought process, and communication skills in real time. Use of AI tools without prior instruction from the interviewer will result in disqualification from the hiring process.

This position may require access to technology and/or software subject to U.S. export control laws and regulations, including the Export Administration Regulations (EAR). As such, applicants must be eligible to access export-controlled information as defined under applicable law. Marvell may be required to obtain export licensing approval from the U.S. Department of Commerce and/or the U.S. Department of State. Except for U.S. citizens, lawful permanent residents, or protected individuals as defined by 8 U.S.C. 1324b(a)(3), all applicants may be subject to an export license review process prior to employment.

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