applied scientist, artificial general intelligence

chief of staff to the managing director of ai

applied scientist, artificial general intelligence Jobs in Boston

artificial intelligence (ai) engineer Jobs in Boston

artificial intelligence (ai) engineer

artificial intelligence engineer Jobs in Boston

artificial intelligence engineer

chief of staff to the managing director of ai Jobs in Boston

data scientist / engineer

applied scientist artificial general intelligence

Amazon.com

<div><h2 class="jobSectionHeader">DESCRIPTION</h2>
The Artificial General Intelligence (AGI) team is seeking a dedicated, skilled, and innovative Applied Scientist with a robust background in machine learning, statistics, quality assurance, auditing methodologies, and automated evaluation systems to ensure 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 Scientist will collaborate closely with core scientist team developing Amazon Nova models. They will lead the development of comprehensive quality strategies and auditing frameworks that safeguard the integrity of data collection workflows. This includes designing auditing strategies with detailed SOPs, quality metrics, and sampling methodologies that help Nova improve performances on benchmarks. The Applied Scientist will perform expert-level manual audits, conduct meta-audits to evaluate auditor performance, and provide targeted coaching to uplift overall quality capabilities. A critical aspect of this role involves developing and maintaining LLM-as-a-Judge systems, including designing judge architectures, creating evaluation rubrics, and building machine learning models for automated quality assessment. The Applied Scientist will also set up the configuration of data collection workflows and communicate quality feedback to stakeholders. An Applied Scientist will also 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. 
 
A day in the life 
An Applied Scientist with the AGI team will support quality solution design, conduct root cause analysis on data quality issues, research new auditing methodologies, and find innovative ways of optimizing data quality while setting examples for the team on quality assurance best practices and standards. Besides theoretical analysis and quality framework development, an Applied Scientist will also work closely with talented engineers, domain experts, and vendor teams to put quality strategies and automated judging systems into practice.<h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>Master's degree in computer science, mathematics, statistics, machine learning or equivalent quantitative field</li><li>Experience programming in Java, C++, Python or related language</li><li>Experience with SQL and an RDBMS (e.g., Oracle) or Data Warehouse</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Experience implementing algorithms using both toolkits and self-developed code</li><li>Have publications at top-tier peer-reviewed conferences or journals</li></ul> 
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&rsquo;re applying in isn&rsquo;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 &amp; AD&amp;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 - 136,000.00 - 184,000.00 USD annually 
USA, WA, BELLEVUE - 136,000.00 - 184,000.00 USD annually</div>

Applied Scientist, Artificial General Intelligence

SonderMind

<div><h2 class="jobSectionHeader">About SonderMind</h2>
At SonderMind, we believe everyone deserves one personalized, connected, and effective mental health destination to take care of their mental health and well-being at any stage of life. SonderMind care encompasses everything from therapy and medication management to meditation and mindfulness exercises. Our clinicians leverage our digital tools and research to deliver increasingly high-quality care and to develop thriving practices. Combining technology and human connection, SonderMind drives better outcomes through our comprehensive approach. Learn more about SonderMind at sondermind.com or download the mobile app, available on iOS and Android. To follow the latest SonderMind news, get to know our clients, and learn about what it&rsquo;s like to work at SonderMind, you can follow us on Instagram and Linkedin
Additionally, we expect all team members to effectively leverage modern AI technologies as part of their everyday workflow, and to continuously adapt as new tools emerge. Familiarity with job-relevant AI platforms such as Gemini, ChatGPT, Claude, GitHub Copilot or other industry-standard AI productivity tools is expected and considered essential for success at this company.
<h2 class="jobSectionHeader">About the Role</h2>
At SonderMind, we know that therapy works. SonderMind provides accessible, personalized mental healthcare that produces high-quality outcomes for patients. SonderMind's individualized approach to care starts with using innovative technology to help people not just find a therapist, but find the right, in-network therapist for them, should they choose to use their insurance. From there, SonderMind's clinicians are committed to delivering best-in-class care to all patients by focusing on high-quality clinical outcomes. To enable our clinicians to thrive, SonderMind defines care expectations while providing tools such as clinical note-taking, secure telehealth capabilities, outcome measurement, messaging, and direct booking.
To follow the latest SonderMind news, get to know our clients, and learn about what it&rsquo;s like to work at SonderMind, you can follow us on Instagram, Linkedin, and Twitter.<h2 class="jobSectionHeader">
What you&rsquo;ll do</h2>
As a Staff Data Scientist at SonderMind you will be a leader in the technology organization (product, engineering and applied science), working on solving a diverse set of problems in the mental healthcare space. From helping clinicians grow and manage their practices, to personalizing self-care and matching appropriate providers with clients who are ready for clinical care, your primary role will be to drive success for all of these scenarios through the development of data-driven ML/AI services. As an integral part of the product and engineering team our data scientists deploy data products with immediate positive impact to our providers and clients.<h2 class="jobSectionHeader">
Essential Functions</h2><ul><li>
Deploy models and services to continuously improve client &amp; provider experiences on the platform</li><li>
Lead algorithm and architecture design decisions for new and ongoing ML initiatives</li><li>
Prototype new ML services - including potentially reproducing services/models from published pseudocode - encompassing identification of source data, creation of ML pipelines, and deployment to our platform</li><li>
Conduct code reviews and guidance on best practices</li><li>
Write, update, and deliver documentation on ML services and infrastructure</li><li>
Analyze existing data to identify areas of improvement or new ML initiatives</li><li>
Collaborate with engineering teams to integrate ML based functionality</li><li>
Design and deploy A/B tests and Multi-armed bandit experiments to optimize services and deliver reports on findings to stakeholders 
 
</li></ul>Key Technologies:<ul><li>
Python: Pytorch, Pyspark</li><li>
REST API services</li><li>
Kubernetes and Docker</li><li>
SQL (PostgreSQL and Snowflake)</li><li>
NoSQL (DynamoDB, Elasticsearch)</li></ul><ul><li>
AWS Services: Sagemaker, Athena, Glue, Feature Store</li><li>
Git/Gitlab</li><li>
LaunchDarkly</li></ul><h2 class="jobSectionHeader">
What does success look like?
</h2><ul><li>Design and implement ML data products and systems that directly impact clinicians and clients across the mental healthcare journey</li><li>
Independently identify and communicate new opportunities to apply data science to improve clinician/client workflows and healthcare quality</li><li>
Deliver production-ready services and demonstrate leadership in problem-solving technical challenges</li><li>
Partner cross-functionally with a curious, solution-oriented approach to drive alignment with the applied science and data engineering org</li></ul><h2 class="jobSectionHeader">
Who You Are</h2><ul><li>
Ph.D. (preferred) or M.S. in a quantitative science such as computer science, engineering, data science, applied mathematics, statistics, etc.</li><li>
5+ years of preparing and deploying ML data products</li><li>
Prior experience at early- to mid-stage growth companies is preferred</li><li>
Experience in the health-tech and/or mental health space is a strong bonus</li><li>
Strong statistics and experimental design background</li><li>
Proficiency with Python programming language</li><li>
Expertise in recommender systems utilizing multiple underlying technologies such as reinforcement learning and collaborative filtering</li><li>
Predictive modeling and expertise with multiple optimization frameworks such as gradient descent, particle swarm optimization, simulated annealing, quadratic programming, and Bayesian optimization</li><li>
Experience with generative models and artificial intelligence</li></ul><h2 class="jobSectionHeader">
Our Benefits
</h2>The anticipated salary range for this role is $180,000 - $200,000. Final compensation will be determined based on a variety of factors, including relevant experience, skills, education, and past performance. In addition to base salary, this position may also be eligible for equity.
As leaders in redesigning behavioral health, we walk the walk with our employees' benefits. We want the experience of working at SonderMind to accelerate people&rsquo;s careers and enrich their lives, so we focus on meeting SonderMinders wherever they are and supporting them in all facets of their lives and work.
Our benefits include:<ul><li>
A generous PTO policy, with a minimum of three weeks off per year</li><li>
A holiday schedule that follows standard U.S. holidays</li><li>
Free therapy coverage benefits to ensure employees have access to the care they need (must be enrolled in a qualifying medical plan to participate)</li><li>
Competitive Medical, Dental, and Vision coverage, with plans to meet every need &mdash; including HSA (with $1,100 company contribution) and FSA options</li><li>
Employer-paid short-term disability, long-term disability, life &amp; AD&amp;D, plus coverage of the salary difference for up to seven weeks of short-term disability leave (after the required waiting period)</li><li>
Eight weeks of paid Parental Leave; if the parent also qualifies for STD, this benefit is in addition, allowing for 8&ndash;16 weeks of paid leave</li><li>
401(k) retirement plan with 100% match on up to 4% of base salary, immediately vested</li><li>
Join teammates from across the country at our annual company gathering</li><li>
Company shutdown between Christmas and New Year&rsquo;s</li><li>
Supplemental life insurance, pet insurance, commuter benefits, and more</li></ul><h2 class="jobSectionHeader">
Application Deadline</h2>
This position will be an ongoing recruitment process and will be open until filled.<h2 class="jobSectionHeader">
Equal Opportunity
</h2>SonderMind does not discriminate in employment opportunities or practices based on race, color, creed, sex, gender, gender identity or expression, pregnancy, childbirth or related medical conditions, religion, veteran and military status, marital status, registered domestic partner status, age, national origin or ancestry, physical or mental disability, medical condition (including genetic information or characteristics), sexual orientation, or any other characteristic protected by applicable federal, state, or local laws.</div>

Senior Staff Data Scientist

Cellular Intelligence

<div>About Cellular Intelligence 
Cellular Intelligence (CI) is an AI-native TechBio company building a universal foundation model of cell signaling to understand, predict, and ultimately control cellular behavior, transforming biology from trial-and-error into an engineering discipline. We take a full-stack approach, generating perturbation data at over 1,000x the efficiency of conventional methods, capturing millions of time-resolved treatment combinations per experiment, and training large-scale models that generalize across contexts to enable rational protocol design for regenerative medicine, context-specific drug effect prediction, and systematic disease modeling. Our founding team includes repeat AI entrepreneur Dr. Micha Breakstone (Chorus.ai, acquired for $575M), the Head of the Fundamental AI Group at MIT, and four professors from Harvard Medical School and the University of Washington, including the Chair of Genetics at Harvard, collectively holding five National Academy memberships. Based in Boston, CI has raised over $60M to date from Khosla Ventures, CZI, SciFi VC, and AMD Ventures, and is rapidly scaling its world-class team. 
 
Cellular Intelligence&rsquo;s Core Values<ul><li>
We show up - fully accountable, all-in, doing whatever it takes.</li><li>
We act with urgency - swift, decisive, proactive.</li><li>
We support one another - collaborative, helpful, empathetic.</li></ul> 
Location: Boston, MA
Reports to: Senior Principal Scientist, Molecular Biology
About the role<ul><li>
Execute Next Generation Sequencing (NGS) workflows for DNA and RNA sequencing library preparation.</li><li>
Support technology development, troubleshooting, and scale-up for high-throughput workflows.</li><li>
Maintain clear, organized records of experimental design and execution in electronic laboratory notebooks (ELN) such as Benchling.</li><li>
Collaborate with wet lab and computational teams to support and provide updates on research progress.</li></ul>
About you<ul><li>
BA/BS and MS in Molecular Biology, Biochemistry, Genomics, or a related field.</li><li>
1-2 years of hands-on experience in generating NGS libraries in an industry setting.</li><li>
Proficiency in molecular biology techniques, including PCR and qPCR.</li><li>
Detail-oriented with strong documentation and organizational skills.</li><li>
Familiarity with Illumina sequencing library preparation and sample QC such as concentration and size evaluation.</li><li>
Excellent communication skills, both written and verbal.</li><li>
Experience with inventory tracking and reagent QC.</li><li>
Experience in single cell sequencing, long-read sequencing, or other sequencing platforms a plus.</li><li>
Experience with assay development, automation, or high-throughput sample processing.</li><li>
Comfortable operating in fast-paced, startup or early-phase biotech environments.</li></ul>
Benefits:<ul><li>
Take a technical leadership role with a mission-driven company with the potential to significantly impact the lives of millions</li><li>
Work alongside a talented and passionate team at the forefront of AI and cellular biology</li><li>
Contribute to the development of groundbreaking therapies that address significant unmet medical needs</li><li>
Enjoy a competitive salary and benefits package, including flexible work options</li></ul>
Exceptional candidates who demonstrate outstanding capabilities and potential will be considered, even if they do not meet every qualification listed.
Join us and help unlock the full potential of AI for the benefit of human health!
Cellular Intelligence is committed to equal employment opportunity and non-discrimination for all employees and applicants regardless of race, color, ancestry, sex, sexual orientation, age, religion, national origin, ancestry, genetic information, disability, veteran status, marital status, citizenship status, or any characteristic protected under applicable law.</div>

Research Associate, Molecular Biology

Nasuni

<div>Data Science Summer Intern &ndash; Customer Experience (AI &amp; Proactive Customer Health and Insights)

Location: Boston Seaport or Marlborough, MA (Hybrid &ndash; 3 days/week onsite)

Duration: June 1, 2026 &ndash; August 7, 2026 (10 weeks)

Compensation: Hourly paid internship

Role Overview:

Nasuni is seeking a Data Science Summer Intern to join our Customer Experience (CX) organization. This role is designed for a Master's-level student who is passionate about applying artificial intelligence and machine learning to real-world business challenges within a SaaS environment.

This is a highly hands-on internship focused on building real solutions rather than passive research. The intern will analyze complex customer datasets, develop predictive models, and help design proactive frameworks that improve customer health, retention, and expansion opportunities. Working closely with Customer Success leadership, Operations, and cross-functional teams, the intern will help transform customer data into intelligent insights that drive measurable business outcomes. This role offers exposure to modern AI techniques, customer analytics, and enterprise-scale SaaS data environments.

Key Responsibilities:
<ul>
<li>Develop predictive models to identify customer health risks, churn likelihood, and expansion opportunities.</li>
<li>Analyze customer product usage, engagement metrics, and support data to identify early indicators of customer risk or growth potential.</li>
<li>Design and test AI-driven frameworks for proactive customer health management.</li>
<li>Build and refine customer health scoring methodologies using statistical analysis and machine learning techniques.</li>
<li>Explore NLP and large language model (LLM) applications to extract insights from unstructured data sources such as support cases, internal notes, and customer communications.</li>
<li>Conduct exploratory data analysis to uncover behavioral trends, usage patterns, and drivers of customer success.</li>
<li>Create visualizations, dashboards, and reports that communicate findings clearly to business leaders and CX stakeholders.</li>
<li>Present insights, models, and actionable recommendations to the Customer Experience organization at the conclusion of the internship.</li>
</ul>
Required Qualifications:
<ul>
<li>Currently enrolled in a Master's program in Data Science, Computer Science, Statistics, Applied Mathematics, or a related quantitative field.</li>
<li>Strong foundation in machine learning, predictive modeling, and statistical analysis.</li>
<li>Proficiency in Python with experience using libraries such as pandas, NumPy, and scikit-learn.</li>
<li>Working knowledge of SQL for querying, transforming, and analyzing structured datasets.</li>
<li>Ability to communicate complex analytical insights clearly and work effectively in a fast-paced, collaborative environment.</li>
</ul>
Additional Qualifications:
<ul>
<li>Experience with customer analytics, churn modeling, or customer health scoring frameworks.</li>
<li>Exposure to NLP, LLMs, or generative AI applications.</li>
<li>Familiarity with BI or visualization tools such as Tableau, and experience working with cloud environments (AWS preferred).</li>
</ul>
About Nasuni

Nasuni is the unstructured data foundation for enterprise teams&mdash;and the AI that supports them. We manage, protect, and activate the world's unstructured data so organizations can work smarter, spend wisely, and create safely without limits. Our AI-ready platform helps enterprises modernize file infrastructure&mdash;supporting secure collaboration, resilience, and intelligent automation across global environments.

Why Work at Nasuni (Boston)

Based in the Greater Boston area, Nasuni brings together teams building modern cloud and data infrastructure used by enterprises worldwide. In our Boston roles, you'll collaborate closely with cross-functional partners to ship meaningful product and customer outcomes. If you value ownership, practical problem-solving, and contributing to high-impact work inside a growing SaaS company, you'll find strong mentorship and real responsibility here.

As an hourly summer intern, you'll gain:
<ul>
<li>Structured onboarding and mentorship</li>
<li>Hands-on project ownership</li>
<li>Exposure to enterprise marketing and communications programs</li>
<li>Networking opportunities across departments</li>
<li>A collaborative Boston Seaport office environment</li></ul> 


Compensation Transparency:

In accordance with U.S. pay transparency laws, Nasuni is committed to providing visibility into compensation for all U.S.-based roles. Click HERE to view our compensation ranges by job grade. Actual compensation will be based on a variety of factors, including a candidate's experience, skills, education, and work location.

To all recruitment agencies: Nasuni does not accept agency resumes. Please do not forward resumes to our job boards, Nasuni employees or any other company location. Nasuni is not responsible for any fees related to unsolicited resumes.

Nasuni is an equal opportunity employer. The equal employment opportunity policy at Nasuni protects employees and job applicants from discrimination on the bases of race, religion, color, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, family medical history or genetic information, political affiliation, military service, or other non-merit based factors. These protections extend to all management practices and decisions, including recruitment and hiring practices, appraisal systems, promotions, and training and career development programs.<div> 
This privacy notice relates to information collected (whether online or offline) by Nasuni Corporation and our corporate affiliates (collectively, &quot;Nasuni&quot;) from or about you in your capacity as a Nasuni employee, independent contractor/service provider or as an applicant for an employment or contractor relationship with Nasuni.</div></div>

Data Science Intern - SaaS Customer Experience Analytics

CGS Federal (Contact Government Services)

<div>
 eDiscovery Litigation Technologist
 
 
 Employment Type: Full-Time, Executive-Level
 
 
 Department: Legal
 
 
 CGS is seeking a dedicated eDiscovery Litigation Technologist to join a fast-paced and hard-working team to assist with any legal accounts. As an eDiscovery Litigation Technologist, you will play a key role in supporting various aspects of the company's portfolio.
 
 
 CGS brings motivated, highly skilled, and creative people together to solve the government&rsquo;s most dynamic problems with cutting-edge technology. To carry out our mission, we are seeking candidates who are excited to contribute to government innovation, appreciate collaboration, and can anticipate the needs of others. Here at CGS, we offer an environment in which our employees feel supported, and we encourage professional growth through various learning opportunities.
 
 
 Skills and attributes for success:
 
 
 The Contractor shall provide litigation technology support to include, but not limited to the following activities:
 
 
 
 <ul>
 <li>
 Contractor shall monitor changes to laws that impact civil and criminal litigation to determine their impact on current FBI Discovery policies and procedures;
 </li>
 <li>
 Contractor shall monitor the commercial industry to determine how new technology or best practices can be applied to improve FBI Discovery;
 </li>
 <li>
 Contractor shall verify that any proposed solution to an existing requirement satisfactorily meets the underlying need;
 </li>
 <li>
 Contractor shall conduct testing of system upgrades or patches prior to release;
 </li>
 <li>
 Contractor shall verify that any proposed solution successfully delivers a new functional business capability that addresses one or more existing requirements;
 </li>
 <li>
 Contractor shall provide advice on identifying, preserving, collecting, processing, and producing ESI in support of civil litigation, selected criminal matters, select FOIA requests, Congressional requests and other external inquiries using the current suite of FBI tools and processes;
 </li>
 <li>
 Contractor shall monitor daily separation reports to identify departing legal hold custodians and ensure proper preservation of material subject to legal hold requirements;
 </li>
 <li>
 Contractor shall update and/or create standard operating procedures of the ETA role;
 </li>
 <li>
 The Contractor shall provide a strong technical background on the use of electronic discovery applications and provide a strong legal background and expertise on the electronic discovery applications
 
 
 
 
 
 </li>
 </ul>
 Qualifications:
 
 
 
 <ul>
 <li>
 5 (five) years of eDiscovery/litigation support experience with a focus on client solutions
 </li>
 <li>
 3 (three) years of progressive more responsible experience on major lit support projects
 </li>
 <li>
 2 years in Relativity, beyond document review coding
 </li>
 <li>
 Excellent communication, presentation, and interpersonal skills with both eDiscovery technical teams and non-technical business leaders and team players
 </li>
 <li>
 Ability to work in a fast-paced environment and agile work environment
 </li>
 <li>
 Experience and familiarity with eDiscovery Services covering all realms of the EDRM (File to Trial)
 </li>
 <li>
 Must be a U.S. Citizen
 </li>
 <li>
 The ability to obtain a U.S. Government security clearance (active clearance preferred)
 </li>
 <li>
 BS/BA degree or equivalent work experience (JD highly preferred)
 
 
 
 
 
 </li>
 </ul>
 Our Commitment:
 
 
 Contact Government Services (CGS) strives to simplify and enhance government bureaucracy through the optimization of human, technical, and financial resources. We combine cutting-edge technology with world-class personnel to deliver customized solutions that fit our client&rsquo;s specific needs. We are committed to solving the most challenging and dynamic problems.
 
 
 For the past seven years, we&rsquo;ve been growing our government-contracting portfolio, and along the way, we&rsquo;ve created valuable partnerships by demonstrating a commitment to honesty, professionalism, and quality work.
 
 
 Here at CGS we value honesty through hard work and self-awareness, professionalism in all we do, and to deliver the best quality to our consumers mending those relations for years to come.
 
 
 We care about our employees. Therefore, we offer a comprehensive benefits package.
 
 
 
 <ul>
 <li>
 Health, Dental, and Vision
 </li>
 <li>
 Life Insurance
 </li>
 <li>
 401k
 </li>
 <li>
 Flexible Spending Account (Health, Dependent Care, and Commuter)
 </li>
 <li>
 Paid Time Off and Observance of State/Federal Holidays
 
 
 
 
 
 </li>
 </ul>
 Contact Government Services, LLC is an Equal Opportunity Employer. Applicants will be considered without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
 
 
 Join our team and become part of government innovation!
 
 
 Explore additional job opportunities with CGS on our Job Board:
 
 
 https://cgsfederal.com/join-our-team/
 
 
 For more information about CGS please visit: https://www.cgsfederal.com or contact:
 
 
 Phone: +1 (888) 680-5916Email: info@cgsfederal.com
 
 
 #CJ
 
 
 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
</div>

eDiscovery Litigation Technologist (Top Secret Clearance Required)

Plymouth Rock Assurance

<div>We are seeking a highly skilled AI Engineer to design and build Generative and Agentic AI systems that transform how our company operates and serves customers. This role focuses on developing AI applications powered by large language models (LLMs), retrieval-augmented generation (RAG), Model Context Protocol (MCP) servers, and Agentic AI across the enterprise for internal and customer facing use cases.

The ideal candidate has strong experience with a modern AI/ML stack, including a profound Python experience, including AI relevant packages and tools, LLM architectures and frameworks, RAG, MCP, prompt engineering, use of AI tools, budling teams of AI agents, and production-grade AI systems design and development.
You will work closely with technology, data, and business teams to build scalable AI solutions that drive operational efficiency and innovation across the enterprise.

Key Responsibilities:
<ul>
<li>Design, build, and deploy scalable LLM-powered applications, solutions, and digital products for customer support, business use cases, and internal productivity.</li>
<li>Develop AI agents, Agentic Platforms, and Agentic AI systems capable of reasoning, planning, and executing multi-step workflows.</li>
<li>Implement Retrieval-Augmented Generation (RAG) architectures and pipelines to leverage proprietary data, and internal knowledge bases.</li>
<li>Build MCP servers, multi-connectivity enabled and multi-modal Agentic platforms, and AI assistants to support internal teams and customer facing.</li>
<li>Integrate AI/ML solutions with enterprise systems, APIs, and data platforms.</li>
<li>Design prompt strategies, evaluation frameworks, and guardrails to ensure accuracy, security, and regulatory compliance.</li>
<li>Optimize LLM performance through fine-tuning, prompt engineering, and model orchestration.</li>
<li>Develop MLOps and LLMOps pipelines for monitoring, evaluation, and continuous improvement of AI systems.</li>
<li>Help in forming buy or build decisions and work with external vendors, consultants and internal teams to deliver scalable top-quality AI solutions timely.</li>
<li>Stay up to date with emerging advancements in AI/ML, Generative AI, Agentinc frameworks, and model architectures.
</li></ul>Required Qualifications:
<ul>
<li>Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Applied Mathematics, or related field.</li>
<li>5+ years of software engineering experience, including work with machine learning (ML) or AI systems.</li>
<li>Hands-on experience building LLM-powered applications in production environments.</li>
<li>Strong programming skills in Python, and familiarity with AI/ML relevant packages such as NumPy, Pandas, SciPy and Scikit-learn.</li>
<li>Experience with LLM ecosystems such as:</li>
<li><ul><li>OpenAI / Anthropic / Google, Open-source LLMs</li>
<li>Hugging Face</li>
<li>LangChain, LlamaIndex, or similar orchestration frameworks</li>
</ul></li><li>Experience building RAG pipelines and working with vector databases.</li>
<li>Understanding of prompt engineering, embeddings, and model evaluation.</li>
<li>Experience building APIs, MCPs, and scalable backend services.</li>
<li>Experience with Claude Code, Codex, Cursor, GitHub Copilot, or similar.</li>
<li>Ability to collaborate with cross-functional teams.</li>
<li>Passion for technology and AI.</li>
</ul>
Preferred Qualifications:
<ul>
<li>Experience building AI agents, agentic platforms, or autonomous workflows.</li>
<li>Familiarity with agent frameworks (LangGraph, AutoGen, CrewAI, Semantic Kernel, Frontier, etc.).</li>
<li>Experience with fine-tuning LLMs or parameter-efficient training methods (LoRA, PEFT).</li>
<li>Experience with cloud-based AI infrastructure (AWS, Azure, or GCP).</li>
<li>Familiarity with Java, JS, and Java applications and environments.</li>
<li>Experience with MLOps / LLMOps tools and evaluation pipelines.</li>
<li>Experience implementing AI governance, observability, and guardrails.</li>
</ul>
Salary Range:
The pay range for this position is $135,000 to $220,000 annually. Actual compensation will vary based on multiple factors, including employee knowledge and experience, role scope, business needs, geographical location, and internal equity.
Perks and Benefits:
<ul>
<li>4 weeks accrued paid time off + 9 paid national holidays per year</li>
<li>Free onsite gym at our Boston Location</li>
<li>Tuition Reimbursement</li>
<li>Low cost and excellent coverage health insurance options that start on Day 1 (medical, dental, vision)</li>
<li>Robust health and wellness program and fitness reimbursements</li>
<li>Auto and home insurance discounts</li>
<li>Matching gift opportunities</li>
<li>Annual 401(k) Employer Contribution (up to 7.5% of your base salary)</li>
<li>Various Paid Family leave options including Paid Parental Leave</li>
<li>Resources to promote Professional Development (LinkedIn Learning and licensure assistance)</li>
<li>Convenient location directly across from South Station and Pre-Tax Commuter Benefits</li>
</ul>
About the Company

The Plymouth Rock Company and its affiliated group of companies write and manage over $2.3 billion in personal and commercial auto and homeowner's insurance throughout the Northeast and mid-Atlantic, where we have built an unparalleled reputation for service. We continuously invest in technology, our employees thrive in our empowering environment, and our customers are among the most loyal in the industry. The Plymouth Rock group of companies employs more than 1,900 people and is headquartered in Boston, Massachusetts. Plymouth Rock Assurance Corporation holds an A.M. Best rating of &ldquo;A-/Excellent&rdquo;

#LI-DF1</div>

Sr. Artificial Intelligence Engineer

<div>We are seeking a highly skilled AI Engineer to design and build Generative and Agentic AI systems that transform how our company operates and serves customers. This role focuses on developing AI applications powered by large language models (LLMs), retrieval-augmented generation (RAG), Model Context Protocol (MCP) servers, and Agentic AI across the enterprise for internal and customer facing use cases.

The ideal candidate has strong experience with a modern AI/ML stack, including a profound Python experience, including AI relevant packages and tools, LLM architectures and frameworks, RAG, MCP, prompt engineering, use of AI tools, budling teams of AI agents, and production-grade AI systems design and development.
You will work closely with technology, data, and business teams to build scalable AI solutions that drive operational efficiency and innovation across the enterprise.

Key Responsibilities:
<ul>
<li>Design, build, and deploy scalable LLM-powered applications, solutions, and digital products for customer support, business use cases, and internal productivity.</li>
<li>Develop AI agents, Agentic Platforms, and Agentic AI systems capable of reasoning, planning, and executing multi-step workflows.</li>
<li>Implement Retrieval-Augmented Generation (RAG) architectures and pipelines to leverage proprietary data, and internal knowledge bases.</li>
<li>Build MCP servers, multi-connectivity enabled and multi-modal Agentic platforms, and AI assistants to support internal teams and customer facing.</li>
<li>Integrate AI/ML solutions with enterprise systems, APIs, and data platforms.</li>
<li>Design prompt strategies, evaluation frameworks, and guardrails to ensure accuracy, security, and regulatory compliance.</li>
<li>Optimize LLM performance through fine-tuning, prompt engineering, and model orchestration.</li>
<li>Develop MLOps and LLMOps pipelines for monitoring, evaluation, and continuous improvement of AI systems.</li>
<li>Help in forming buy or build decisions and work with external vendors, consultants and internal teams to deliver scalable top-quality AI solutions timely.</li>
<li>Stay up to date with emerging advancements in AI/ML, Generative AI, Agentinc frameworks, and model architectures.
</li></ul>Required Qualifications:
<ul>
<li>Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Applied Mathematics, or related field.</li>
<li>2+ years of software engineering experience, including work with machine learning (ML) or AI systems.</li>
<li>Hands-on experience building LLM-powered applications in production environments.</li>
<li>Strong programming skills in Python, and familiarity with AI/ML relevant packages such as NumPy, Pandas, SciPy and Scikit-learn.</li>
<li>Experience with LLM ecosystems such as:</li>
<li><ul><li>OpenAI / Anthropic / Google, Open-source LLMs</li>
<li>Hugging Face</li>
<li>LangChain, LlamaIndex, or similar orchestration frameworks</li>
</ul></li><li>Experience building RAG pipelines and working with vector databases.</li>
<li>Understanding of prompt engineering, embeddings, and model evaluation.</li>
<li>Experience building APIs, MCPs, and scalable backend services.</li>
<li>Experience with Claude Code, Codex, Cursor, GitHub Copilot, or similar.</li>
<li>Ability to collaborate with cross-functional teams.</li>
<li>Passion for technology and AI.</li>
</ul>
Preferred Qualifications:
<ul>
<li>Experience building AI agents, agentic platforms, or autonomous workflows.</li>
<li>Familiarity with agent frameworks (LangGraph, AutoGen, CrewAI, Semantic Kernel, Frontier, etc.).</li>
<li>Experience with fine-tuning LLMs or parameter-efficient training methods (LoRA, PEFT).</li>
<li>Experience with cloud-based AI infrastructure (AWS, Azure, or GCP).</li>
<li>Familiarity with Java, JS, and Java applications and environments.</li>
<li>Experience with MLOps / LLMOps tools and evaluation pipelines.</li>
<li>Experience implementing AI governance, observability, and guardrails.</li>
</ul>
Salary Range:
The pay range for this position is $110,000 to $160,000 annually. Actual compensation will vary based on multiple factors, including employee knowledge and experience, role scope, business needs, geographical location, and internal equity.
Perks and Benefits:
<ul>
<li>4 weeks accrued paid time off + 9 paid national holidays per year</li>
<li>Free onsite gym at our Boston Location</li>
<li>Tuition Reimbursement</li>
<li>Low cost and excellent coverage health insurance options that start on Day 1 (medical, dental, vision)</li>
<li>Robust health and wellness program and fitness reimbursements</li>
<li>Auto and home insurance discounts</li>
<li>Matching gift opportunities</li>
<li>Annual 401(k) Employer Contribution (up to 7.5% of your base salary)</li>
<li>Various Paid Family leave options including Paid Parental Leave</li>
<li>Resources to promote Professional Development (LinkedIn Learning and licensure assistance)</li>
<li>Convenient location directly across from South Station and Pre-Tax Commuter Benefits</li>
</ul>
About the Company

The Plymouth Rock Company and its affiliated group of companies write and manage over $2.3 billion in personal and commercial auto and homeowner's insurance throughout the Northeast and mid-Atlantic, where we have built an unparalleled reputation for service. We continuously invest in technology, our employees thrive in our empowering environment, and our customers are among the most loyal in the industry. The Plymouth Rock group of companies employs more than 1,900 people and is headquartered in Boston, Massachusetts. Plymouth Rock Assurance Corporation holds an A.M. Best rating of &ldquo;A-/Excellent&rdquo;

#LI-DF1</div>

Artificial Intelligence Engineer

Explore 293+ Applied scientist artificial general intelligence in Boston this March. Find roles across top companies and apply now to boost your career.