AI Solutions Engineer Jobs in Boston, MA
AI Solutions Engineer jobs in Boston are in strong demand, concentrated in the Seaport Innovation District, Kendall Square, and the Financial District across life sciences, enterprise software, and financial services. Employers actively hiring include Amazon, Plymouth Rock Assurance, and NASDAQ. See the openings below and apply to the ones that match your experience.
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DESCRIPTION
The Artificial General Intelligence (AGI) team is seeking a dedicated, skilled, and innovative Applied Science Manager with a robust background in machine learning, statistics, quality assurance, auditing methodologies, and automated evaluation systems to lead a team ensuring the highest standards of data quality, to build industry-leading technology with Large Language Models (LLMs) and multimodal systems.
Key job responsibilities
As part of the AGI team, an Applied Science Manager will lead and mentor a team of Applied Scientists who develop comprehensive quality strategies and auditing frameworks that safeguard the integrity of data collection workflows. The manager will guide the team in designing auditing strategies with detailed SOPs, quality metrics, and sampling methodologies that align with core scientist team developing Amazon Nova models. The Applied Science Manager will oversee expert-level manual audits, meta-audits to evaluate auditor performance, and provide coaching to uplift overall quality capabilities across the team. A critical aspect of this role involves managing the development and maintenance of LLM-as-a-Judge systems, including designing judge architectures, creating evaluation rubrics, and building machine learning models for automated quality assessment. The Applied Science Manager will also oversee the configuration of data collection workflows and ensure effective communication of quality feedback to stakeholders. The manager will have a direct impact on enhancing customer experiences through high-quality training and evaluation data that powers state-of-the-art LLM products and services.
The Applied Science Manager will be responsible for recruiting, hiring, and developing team members, conducting performance reviews, setting clear expectations and growth plans, and fostering a culture of scientific excellence and innovation. The manager will communicate with senior leadership, cross-functional technical teams, and customers to collect requirements, describe product features and technical designs, and articulate product strategy.
A day in the life
An Applied Science Manager with the AGI team will lead quality solution design, guide root cause analysis on data quality issues, drive research into new auditing methodologies, and find innovative ways of optimizing data quality while setting examples for the team on quality assurance best practices and standards. The manager will work closely with talented engineers, domain experts, and vendor teams to put quality strategies and automated judging systems into practice. The manager will also conduct regular 1:1s with team members, provide mentorship and coaching, and ensure the team delivers high-impact results aligned with organizational goals.
BASIC QUALIFICATIONS
- 3+ years of scientists or machine learning engineers management experience
- Knowledge of ML, NLP, Information Retrieval and Analytics
PREFERRED QUALIFICATIONS
- Experience building machine learning models or developing algorithms for business application
- Experience building complex software systems, especially involving deep learning, machine learning and computer vision, that have been successfully delivered to customers
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, MA, Boston - 183,800.00 - 248,700.00 USD annually
USA, WA, BELLEVUE - 183,800.00 - 248,700.00 USD annually
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Who's Hiring



Top Industries Hiring
- Technology & Software
- Insurance
- Law & Legal Services
- Healthcare & Medical Services
AI Solutions Engineer Jobs in Boston: Frequently Asked Questions
How do I get a ai solutions engineer job in Boston?
Focus your search on Boston's Seaport Innovation District, Kendall Square, and the Back Bay, where enterprise software firms, healthtech companies, and financial services firms concentrate their AI hiring. Candidates who can demonstrate production-deployed AI systems, hands-on experience with large language models, and strong client-facing communication tend to move fastest through local hiring processes. Networking through Boston's dense biotech and fintech communities also opens doors that job boards alone won't.
Which companies hire ai solutions engineers in Boston?
Companies currently hiring ai solutions engineers in Boston include Amazon, Plymouth Rock Assurance, and NASDAQ, per current listings on Migrate Mate as of September 2026. Boston's market includes a strong mix of large enterprise technology vendors, life sciences platforms, and well-funded AI startups anchored around the Seaport and Kendall Square corridors.
Are there remote ai solutions engineer jobs in Boston?
Yes, though roles vary significantly: client-facing and implementation-heavy positions typically require on-site or hybrid presence, while architecture and model-integration work is more commonly remote. About 64% of ai solutions engineer openings tied to Boston are remote or hybrid as of September 2026, reflecting broader flexibility in the enterprise AI space. Pre-sales and technical consulting roles in Boston's financial and healthtech sectors tend to require the most in-office time.
How can I get a ai solutions engineer job in Boston with little or no experience?
The most realistic entry path in Boston is through associate solutions engineer or technical pre-sales roles at mid-size enterprise software companies in the Seaport and South End tech corridor, where teams regularly hire candidates who can demonstrate Python fluency and a working understanding of machine learning workflows. Boston's university-connected AI labs and startup incubators at places like MIT and Mass General Brigham also offer research assistant and implementation internship roles that feed directly into full ai solutions engineer positions.
Which industries hire the most ai solutions engineers in Boston?
Boston ai solutions engineer roles concentrate in Technology & Software, Insurance, and Law & Legal Services, based on current listings on Migrate Mate as of September 2026. Boston's outsized presence in life sciences research, asset management, and enterprise cloud software creates consistent demand for ai solutions engineers who can bridge technical AI capabilities with industry-specific workflows and client needs.
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