software engineer

applied scientist, artificial general intelligence - data services Jobs in Boston

applied scientist, artificial general intelligence - data services

entry software engineer

research ai engineer intern Jobs in Boston

research ai engineer intern

software development engineer - generative ai, agif | inference engine Jobs in Boston

software development engineer - generative ai, agif | inference engine

applied ai software engineer

Fossa

<div><div>If you're like us, you agree that open source software is a wonderful and unique gift that the community of software developers across the world have given to each other. At FOSSA, we want to proliferate its usage with our software supply chain management platform that helps our customers know what licenses, vulnerabilities, and dependencies go into their software as they utilize open source software packages. And we won't rest until all companies, big and small, love and feel as comfortable with using open source as we are.

FOSSA is a rapidly growing series-B company with a truly distributed team. While our roots are in San Francisco, our growing team has members in several countries across many time zones. We're always working to find the perfect balance of effective approaches to distributed work, while maintaining the direct personal connections that help us work better together and love our jobs.</div>
As an applied AI software engineer on our team, you'll be working on researching, designing, prototyping, and implementing our next generation of software at FOSSA. While still working closely with the entire Engineering and Product departments, the R&amp;D team focuses on more experimental software development that will define the future of our company. Our current focus is around using a combination of static analysis, deterministic algorithms, along with LLM interactions, to provide our users with reliable, time-saving, and automated solutions to keeping their projects and the dependencies they use as healthy as possible The R&amp;D team follows a lightweight process that lets the team move fast and learn from experiments quickly. Come help us create the future of FOSSA!
<h4 class="jobSectionHeader">
In this role you will:</h4>
<ul><li>Work closely with our R&amp;D business unit to research, plan, design, prototype, and build the future of FOSSA</li>
<li>Own user-impacting functionality from conception to completion</li>
<li>Build and scale the most valuable prototypes into production</li>
<li>Have significant ownership in our technical architecture and R&amp;D roadmap</li>
<li>Primarily work in Typescript, but touch a variety of codebases in other languages, such as Rust, Haskell, or Go</li>
<li>Contribute to structured analysis of various languages (Java, Python, others) our customers use</li>
<li>Experiment with LLMs and context engineering and benchmark the results to ensure we accomplish maximal value and consistency from them</li>
</ul><h4 class="jobSectionHeader">About you:</h4>
<ul><li>Experience working on greenfield projects as part of small teams</li>
<li>Experience building and deploying software in high-velocity environments</li>
<li>Experience building and supporting scalable SaaS products and features</li>
<li>Experience with relational databases and writing performant SQL queries</li>
<li>Experience interacting with LLM APIs as a service</li>
<li>Enjoy combining the latest technologies and tools with best practices to accelerate development</li>
<li>Passionate about getting creative with AI to work around its shortcomings in creating automated solutions to complex problems</li>
<li>Interest in the art of programming languages (design, compilers and syntax parsing, etc)</li>
<li>You're comfortable navigating complex domains and building intuitive software for them</li>
<li>You thrive in an environment that prefers prototypes over proposals</li>
<li>Proactive in sharing ideas and informed opinions with others</li>
<li>Attention to detail and quality to anticipate edge cases ahead of time</li>
<li>A growth mindset and willingness to learn new things</li>
<li>You have 6+ years of experience working as a backend or fullstack engineer</li>
</ul>
Why you'll love working at FOSSA:
<ul>
<li>Amazing team culture and environment</li>
<li>Named by Built In as Best Start-up to work for 2024, 2025 and Forbes 2022</li>
<li>Competitive salary and equity package</li>
<li>Comprehensive benefits package (health, dental, vision, 401k)</li>
<li>Opportunities for professional growth and career development</li>
<li>Fully Remote</li>
<li>Unlimited PTO</li>
</ul>
FOSSA is an equal-opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.

The annual cash compensation range for this position is $150,000 - $180,000 USD. Final compensation will be determined based on experience and skills and may vary from the range listed.</div>

Applied AI Software Engineer

Amazon.com

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
AI is the most transformational technology of our time, capable of tackling some of humanity&rsquo;s most challenging problems. That is why Amazon is investing in generative AI (GenAI) and the responsible development and deployment of large language models (LLMs) across all of our businesses. Come build the future of human-technology interaction with us.
 
 
We are looking for an Applied Scientist with strong technical skills which includes coding and natural language processing experience in dataset construction, training and evaluating models, and automatic processing of large datasets. You will play a critical role in driving innovation and advancing the state-of-the-art in natural language processing and machine learning. You will work closely with cross-functional teams, including product managers, language engineers, and other scientists. 
 
Key job responsibilities 
Specifically, the Applied Scientist will:
 
<ul><li>Ensure quality of speech/language/other data throughout all stages of acquisition and processing, including data sourcing/collection, ground truth generation, normalization, transformation, cross-lingual alignment/mapping, etc.</li><li>Clean, analyze and select speech/language/other data to achieve goals</li><li>Build and test models that elevate the customer experience
</li><li>Collaborate with colleagues from science, engineering and business backgrounds</li><li>Present proposals and results in a clear manner backed by data and coupled with actionable conclusions</li><li>Work with engineers to develop efficient data querying infrastructure for both offline and online use cases</li></ul></div><h2 class="jobSectionHeader"> 
BASIC QUALIFICATIONS</h2><ul><li>3+ years of building models for business application experience</li><li>PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience</li><li>Experience programming in Java, C++, Python or related language</li><li>Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Experience using Unix/Linux</li><li>Experience in professional software development</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. 
 
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $223,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.</div>

Applied Scientist, Artificial General Intelligence - Data Services

EVONA

<div>
 
 
 Software Engineer / Hybrid (Boston, MA)
 
 
 
 
 
 
 
 Are you passionate about building tech that directly supports climate action and sustainability?
 
 
 
 
 
 
 A mission-driven climate tech startup is seeking an experienced
 
 Software Engineer
 
 to help scale its next-generation geospatial platform. The company delivers groundbreaking insights into nature-based carbon solutions, supporting global efforts toward a net-zero, nature-positive economy.
 
 
 
 
 
 
 
 The Role
 
 
 
 
 
 
 
 As a Software Engineer, you will be instrumental in developing and expanding a customer-facing web application that delivers powerful, actionable data. You&rsquo;ll work closely with both technical and commercial teams, blending frontend usability with backend scalability in service of high-impact environmental goals.
 
 
 
 
 
 This is an opportunity to shape a product that&rsquo;s powering real-world climate action&mdash;from voluntary carbon markets to global supply chains.
 
 
 
 
 
 
 
 What You&rsquo;ll Do:
 
 
 
 
 
 
 <ul>
 <li>
 Design, develop, and maintain a geospatial web platform and API delivering actionable insights to enterprise users
 </li>
 <li>
 Contribute to the architecture of a scalable, performant, and modern full-stack application
 </li>
 <li>
 Collaborate with a cross-functional team to translate customer needs into polished features
 </li>
 <li>
 Support customers directly by troubleshooting technical issues related to the API or platform
 </li>
 <li>
 Use agile practices and participate in regular team planning, reviews, and code sessions
 </li>
 </ul>
 
 
 
 
 
 
 What You&rsquo;ll Need:
 
 
 
 
 
 
 <ul>
 <li>
 3+ years of full-stack engineering experience
 </li>
 <li>
 Proficiency in
 
 Python
 
 ,
 
 JavaScript, HTML, and CSS
 
 </li>
 <li>
 Strong grasp of modern web architecture, APIs, databases, and deployment pipelines
 </li>
 <li>
 Solid communication skills and a collaborative mindset
 </li>
 <li>
 Bachelor's degree in Computer Science or equivalent work experience
 </li>
 <li>
 Must be a
 
 US Citizen or Green Card Holder
 
 </li>
 </ul>
 
 
 
 
 
 Bonus Points For:
 
 
 
 
 
 
 &bull; Experience with web mapping libraries like
 
 Mapbox
 
 
 GL
 
 or
 
 Leaflet
 
 
 
 &bull; Familiarity with cloud services (
 
 AWS
 
 preferred) and infrastructure deployment
 
 
 &bull; Passion for climate tech, geospatial data, or nature-based solutions
 
 
 
 
 
 What You&rsquo;ll Get in Return:
 
 
 
 
 
 &bull;
 
 Competitive salary $130,000 - $150,000
 
 
 
 &bull; Opportunity to work at the intersection of AI, remote sensing, and sustainability
 
 
 &bull; Hybrid work model:
 
 2 days/week onsite
 
 at the
 
 Boston HQ
 
 ,
 
 
 &bull; Quarterly team retreats and a culture of purpose-driven innovation
 
 
 &bull; Collaborative, transatlantic team focused on real-world environmental impact
 
 
 
 
 
 
 Ready to use your engineering skills for global good?
 
 
 
 
 
 
 Apply now or reach out to Ciara Holmes at EVONA for more details.
 
</div>

Software Engineer

Daice Labs

<div>
 
 
 Company Description
 
 
 
 Daice Labs is building hybrid AI frameworks that integrate today's models into systems that learn continuously. Founded by MIT CSAIL scientists, we focus on building new architectures by combining LLMs/DL with symbolic reasoning and bio-inspired system design. Operating on two tracks, our Product Lab develops industry-specific solutions for collaborative human teams + AI co-building and co-owning vertical applications, while our Research Lab explores how principles of natural intelligence can guide systems design of new hybrid AI architectures.
 
 
 Join us in taking the next leap in productivity through collaborative innovation.
 
 
 
 
 
 
 Role Description
 
 
 
 This is a full-time remote role for a Research AI Engineer Intern in our R&amp;D department. The Research AI Engineer Intern will be responsible for helping developing and implementing AI and machine learning algorithms, conducting research on new AI methodologies, and applying statistical models to improve hybrid AI systems. Day-to-day tasks include analyzing data , building hybrid architectures (LLMs/DL, symbolic reasoning), and designing efficient evaluation benchmarks. Collaboration with cross-functional teams to integrate AI solutions into broader projects is also a key aspect of this role.
 
 
 
 
 
 
 Qualifications
 
 
 <ul>
 <li>
 Strong foundation in Computer Science
 </li>
 <li>
 Strong foundation in Machine learning algorithms, LLMs, agentic architectures
 </li>
 <li>
 Proficiency in Statistics, evaluation, inference, platform integration
 </li>
 <li>
 Proficiency in python and ML stack programming languages/libraries/toolkits
 </li>
 <li>
 Excellent problem-solving skills and ability to work independently
 </li>
 <li>
 Effective communication skills for collaborative work
 </li>
 <li>
 Bachelor's or Master's degree in Computer Science, AI, or related field
 </li>
 <li>
 Experience with hybrid AI system design is a plus
 </li>
 </ul>
</div>

Research AI engineer intern

Elucid

<div>We are a rapidly growing, Boston-based medical technology company using AI to enable clinicians to make informed decisions on cardiovascular care - leading to better patient outcomes, improved quality of care, and reduced healthcare costs. Come work at Elucid and be part of delivering on our mission to prevent heart attacks and strokes. 
 
Join our growing Clinical QA team ensuring our medical device software meets the highest standards of clinical accuracy and regulatory compliance! Our CQA team collaborates across software development, quality, clinical and regulatory teams, acting as quality advocate on behalf of patient and physician needs throughout the software development lifecycle. 
 
As a Senior Clinical Validation Engineer, you&rsquo;ll be at the forefront of advancing our AI-powered cardiovascular imaging software. In this role, you&rsquo;ll lead validation for major system enhancements and new product launches, ensuring our software meets the highest standards of clinical performance and regulatory compliance. Leveraging your expertise in SaMD validation, medical device regulation, and cardiovascular imaging, you&rsquo;ll drive cross-functional initiatives, oversee rigorous testing and documentation, and serve as a trusted subject matter expert. Your work will play a key role in delivering a safe, effective, and potentially life-saving solution empowering physicians and transforming patient care. 
 
The ideal candidate will have:<ul><li>
Degree in biomedical engineering, radiology technology, computer science or related field with 5+ years of SaMD validation or clinical QA experience. or, Advanced degree in a related field with 3+ years of relevant experience.</li><li>
Excellent communication, collaboration, and decision-making skills, with the ability to translate complex technical concepts into clear, accessible language and influence stakeholders across diverse teams and organizational levels.</li><li>
Demonstrated ability to guide cross-functional teams, manage multiple complex projects, and make risk-based decisions to ensure high-quality outcomes in a fast-paced startup environment.</li><li>
Strong understanding of medical software systems, applicable regulatory standards, and their integration into clinical workflows.</li><li>
Prior experience working with with medical imaging (CTA), AI-enabled clinical software, or cardiovascular diagnostics.</li><li>
Strong experience using Jira.</li><li>
Knowledge of cardiovascular disease and anatomy.</li><li>
Experience in a startup or small to mid-size organization preferred.</li></ul>
Work Location:<ul><li>
This role is based out of our office in Boston, MA. For local candidates, we operate in a hybrid model with regular in-office collaboration. Candidates outside of the Boston area are invited to apply as fully-remote employees.</li></ul>
Salary Range:<ul><li>
The anticipated base salary range for this position at Elucid is $140,000 - $165,000. Compensation will be influenced by a wide array of factors including but not limited to internal pay equity, job-related knowledge, skills, education, relevant experience, certifications, and geography as outlined in the job description.</li></ul>
-
At Elucid, we believe the best work happens in a flexible hybrid environment. Boston-area employees are encouraged to work from the office on Mondays and Wednesdays, with the option to come in additional days if they prefer. Fully remote employees outside the Boston area come in as needed.
We are an equal opportunity employer and value diversity at Elucid. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability.
We understand that self-doubt can sometimes prevent great candidates from applying. If you believe you can make an impact at Elucid, even if you don&rsquo;t meet every qualification, we encourage you to apply!
1vDw9MofRk</div>

Senior Clinical Validation Engineer

Shopmonkey

<div>Shopmonkey's vision is to help every shop thrive by equipping them with the tools they need to run and grow their business. Our cloud based all-in-one shop management software takes owners and technicians from quote to cashing out a satisfied customer. Our software has a modern and intuitive UI and our backend is powered by the latest technologies so our clients can focus on the things they do best.

As a Senior ML Engineer at Shopmonkey, you will be a part of a globally distributed engineering team working closely with your product and design counterparts. You will have the chance to work on the frontier of agentic AI, applying cutting-edge LLMs and co-pilot frameworks to meet real-world auto shop needs. Shopmonkey has the structured data, workflows, and operational maturity to deliver AI that's not only intelligent but trusted and useful. You'll move fast to bring AI agents from discovery all the way through production, helping to shape the future of the automotive care experience. Please note for San Francisco Bay area-based candidates, this is a hybrid role with in-office expectations 2-3 days/week at our Morgan Hill, CA office to collaborate and stay connected to the local team there.
<h2 class="jobSectionHeader">
What You Will Do:</h2>
<ul><li>Build and ship production-ready AI agents that automate key workflows (e.g., appointment setting, inventory ordering).</li>
<li>Design and implement workflows and scripts for agentic conversations based on real-world data.</li>
<li>Perform discovery with your Squad on key customer use cases and guide the development of use-case-driven agents.</li>
<li>Conduct end-to-end development including data gathering, hypothesis testing, prototyping, demoing, productionizing, and monitoring.</li>
<li>Implement NLP and LLM-powered components for sentiment analysis, real-time conversation evaluation, and behavior optimization.</li>
<li>Design evaluation agents to enhance the quality and coherence of autonomous conversations.</li>
<li>Work within a modern MLOps environment to ensure scalable and reliable deployment of models.</li>
<li>Contribute to analytics and predictive features such as no-show prediction and sentiment dashboards.</li>
<li>Translate complex ML workflows into digestible updates for cross-functional stakeholders.</li>
<li>Contribute to backlog velocity by owning appropriate tickets and delivering high-impact work in a collaborative, fast-paced environment.</li>
</ul><h2 class="jobSectionHeader">We Are Looking For People Who Have:</h2>
<ul><li>Proven experience shipping models into production (not just proof-of-concepts).</li>
<li>Proficiency in Python or TypeScript; strong SQL skills for working with large-scale data.</li>
<li>Experience with LLMs and NLP frameworks (e.g., TensorFlow, Hugging Face, LangChain).</li>
<li>Cloud infrastructure experience, (e.g. GCP, AWS).</li>
<li>Understanding of MLOps, including orchestration tools like Airflow or Dagster.</li>
<li>Strong collaboration and communication skills&mdash;comfortable working with PMs, designers, engineers and other cross functional team members.</li>
<li>Conducted code reviews and have to ability to provide constructive feedback</li>
<li>Bachelor's degree in a STEM field, or equivalent practical experience.</li>
<li>5+ years of industry experience in applied machine learning or AI engineering; advanced degrees (Master's or PhD) may offset years of experience.</li>
</ul>
 Bonus Points:
<ul>
<li>Prior experience working at a high growth startup.</li>
<li>Experience building consumer-facing agents in vertical SaaS, in the automotive industry (business or consumers).</li>
<li>Background in data processing or real-time analytics.</li>
<li>Experience with Snowflake or other large-scale data warehouse solutions.</li>
</ul>
In the United States, the range is typically a salary of $163,000 to $195,000 + bonus + equity + benefits. The range provided is Shopmonkey's reasonable estimate of the base compensation for this role. The actual amount will be based on job-related and non-discriminatory factors such as location, experience, training, skills, and abilities. Consult with your Recruiter during the initial call to determine a more targeted range based on these job-related factors. In addition to this base compensation company stock options and benefits as outlined below are included.<div>
<h3 class="jobSectionHeader">
Why Shopmonkey?</h3>
<h4 class="jobSectionHeader">Shopmonkey has become an amazing environment where employees feel that they are valued as people, and not just worker bees. To ensure that our team thrives, we invest in the following perks (benefits below are mainly for U.S. based, full-time employees). Other benefits vary upon location outside of the United States, and employment status:</h4>
<h3 class="jobSectionHeader"> Health &amp; Wellness</h3>
<ul><li>Medical, dental, vision, and life insurance benefits available the 1st of the month following hire date</li>
<li>Short term and long term disability</li>
<li>Employee assistance program</li>
<li>Reimbursement for a personal health and wellness membership</li>
<li>Generous parental leave</li>
<li>401(k) available upon hire</li>
</ul><h3 class="jobSectionHeader">&#9992;&#65039; Time Off</h3>
<ul><li>11 paid holidays</li>
<li>Flexible time off - take the time off you need!</li>
</ul> <h3 class="jobSectionHeader">Giving Back</h3>
<ul><li>Matching donations for approved charitable organizations</li>
<li>Group volunteer efforts</li>
</ul><h4 class="jobSectionHeader">Check out our founder's story, life page, or hear from real employees about what it's like to work at Shopmonkey.</h4>
<h4 class="jobSectionHeader">Join our team of hungry, humble, smart people who love what they do, and change the auto industry by helping every shop thrive.</h4>
<h3 class="jobSectionHeader">About the Industry</h3>
<h4 class="jobSectionHeader">The U.S. is the second largest passenger vehicle market with more than 260 million registered passenger vehicles, and the global car repair market is estimated to be worth more than $500B. Shopmonkey aims to change the status quo and enable auto shops to become more efficient and give their customers a more delightful experience.</h4>
<h3 class="jobSectionHeader">About Shopmonkey</h3>
<h4 class="jobSectionHeader">Shopmonkey is the leading auto-repair shop software company; it is a cloud-based solution that helps auto-repair shops consolidate tools, save time, and streamline their entire operation onto a simple, easy-to-use platform.</h4>
<h4 class="jobSectionHeader">Headquartered in Silicon Valley and trusted by more than 3,500+ auto shops across the U.S. and Canada, Shopmonkey aims to change the status quo of the car repair market, estimated to be worth more than $500B.</h4>
<h4 class="jobSectionHeader">In 2021 Shopmonkey raised a $75 million Series C, supported by top-tier Silicon Valley venture capital firms Bessemer Venture Partners, Index Ventures, Headline, I2BF, and ICONIQ Growth.</h4>

In 2022, Shopmonkey was named #4 on Forbes' annual ranking of America's Best Startup Employers list (and #1 in Business Products &amp; Software Services). Shopmonkey was once again named as one of America's Best Startup Employers by Forbes in 2023 and 2024.
<h4 class="jobSectionHeader">
Shopmonkey is committed to building a diverse and inclusive team. We are looking for team members from all backgrounds that are committed to the Shopmonkey mission.
</h4><h4 class="jobSectionHeader">Shopmonkey provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.</h4>

Shopmonkey is committed to the full inclusion of all qualified individuals. In keeping with our our commitment, Shopmonkey will take the steps to assure that people with disabilities are provided reasonable accommodations. Accordingly, if reasonable accommodation is required to fully participate in the job application or interview process, to perform the essential functions of the position, and/or to receive all other benefits and privileges of employment, please contact our Talent Team at hiring@shopmonkey.io.

Please note: Shopmonkey will never request sensitive information such as your social security number, bank account information, or other non-publicly available information during the application and interview process. If an applicant is extended an offer of employment, such sensitive information will be requested at that time. Shopmonkey will never ask you to receive and ship packages or goods as part of the interview. Other practices to be on alert for:
<ul>
<li>Contact initiated via unsolicited text message or cold call. Shopmonkey does not follow up with candidates through instant messaging applications.</li>
<li>Our Talent Acquisition team only corresponds from email addresses with the domain '@Shopmonkey.io'. If a generic email ID ending with Gmail/Yahoo or other domain is used while receiving a job offer or interview call, there is a likelihood of a scammer.</li>
<li>While some of our jobs can be found on third party job sites, all of our current job opportunities and descriptions are posted on Shopmonkey's Careers page, or our official LinkedIn Company Page</li>
</ul>
The U.S. Federal Trade Commission has published helpful articles to help individuals learn more about protecting themselves from recruiting scams and financial fraud. If you believe you were a victim of such a scam, you may contact your local law enforcement agencies. Shopmonkey is not responsible for any claims, liability, losses, damages, or expenses resulting from scammers or impersonators.</div></div>

Senior ML Engineer

CVS Health

<div>At CVS Health, we&rsquo;re building a world of health around every consumer and surrounding ourselves with dedicated colleagues who are passionate about transforming health care.
As the nation&rsquo;s leading health solutions company, we reach millions of Americans through our local presence, digital channels and more than 300,000 purpose-driven colleagues &ndash; caring for people where, when and how they choose in a way that is uniquely more connected, more convenient and more compassionate. And we do it all with heart, each and every day.
Job Summary:
The AI lead, leads the development and deployment of end-to-end AI and Machine Learning (ML) pipelines, ensuring that AI initiatives align with strategic business goals. This role requires a blend of deep technical expertise in AI technologies, architectural design principles, and strong leadership to guide cross-functional teams. This high-level, strategic role requires a professional to bridge the gap between business objectives and technical AI capabilities.
Key Responsibilities:
Strategic Planning and Architectural Design<ul><li>
Develop a comprehensive AI strategy and roadmap that supports business objectives and drives innovation.</li><li>
Design and develop scalable, secure, and resilient AI systems and infrastructure.</li><li>
Translate business needs and use cases into technical AI and ML solutions.</li><li>
Evaluate and select the most appropriate AI technologies, frameworks, and cloud services (e.g., AWS, Azure, GCP).</li></ul>
Technical Implementation and Oversight<ul><li>
Oversee the entire lifecycle of AI projects, from research and design to deployment and monitoring.</li><li>
Collaborate with data scientists and engineers to build robust data pipelines for AI model training and inference.</li><li>
Ensure the seamless integration of AI applications and ML models with existing IT infrastructure and business processes.</li><li>
Optimize AI systems for performance, scalability, and cost efficiency, and troubleshoot technical issues.</li></ul>
Leadership and Collaboration<ul><li>
Provide technical leadership and guidance to development teams, including AI engineers and software developers.</li><li>
Collaborate effectively with business stakeholders, product managers, and executives to communicate the potential, limitations, and strategic value of AI initiatives.</li><li>
Foster a culture of innovation and continuous improvement across AI teams.</li></ul>
Governance and Ethics<ul><li>
Ensure AI implementations comply with ethical standards, data privacy regulations (e.g., GDPR), and security best practices.</li><li>
Establish and enforce data governance policies for AI model development and data usage.</li><li>
Mitigate risks such as adversarial attacks and data poisoning.</li></ul>
Research and Development<ul><li>
Stay up-to-date with the latest advancements in AI research, trends, and technologies.</li><li>
Recommend new methodologies and tools to improve the organization's AI capabilities.</li></ul>
Required Qualifications:
Experience<ul><li>
Extensive experience (5 - 7 years) in software development, data science, or as an AI/ML Engineer.</li><li>
Proven track record of designing, implementing, and deploying scalable AI solutions in a production environment.</li><li>
Demonstrated experience with cloud computing platforms (AWS, Azure, GCP) and MLOps practices.</li></ul>
Technical Skills<ul><li>
Programming Languages: Proficiency in Python is essential, along with experience in languages like R, Java, or Scala.</li><li>
AI/ML Frameworks: Expertise in machine learning and deep learning frameworks, such as TensorFlow, PyTorch, and scikit-learn.</li><li>
Data Technologies: Strong knowledge of big data technologies like Hadoop and Spark, as well as data processing and warehousing techniques.</li><li>
AI Concepts: Deep understanding of machine learning models, neural networks, natural language processing (NLP), and computer vision.</li></ul>
Soft Skills<ul><li>
Problem-Solving: Exceptional analytical and critical thinking skills to address complex technical and business challenges.</li><li>
Communication: Strong ability to communicate complex technical concepts to both technical and non-technical stakeholders.</li><li>
Leadership: Demonstrated leadership and project management capabilities to guide and mentor teams.</li><li>
Adaptability: A commitment to continuous learning to keep pace with the rapidly evolving field of AI.</li></ul>
Education<ul><li>
A Bachelor's degree in Computer Science, Data Science, AI, or a related field</li></ul>
Pay Range
The typical pay range for this role is:
$106,605.00 - $260,590.00 
This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. This position also includes an award target in the company&rsquo;s equity award program. 
Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.
Great benefits for great people
We take pride in our comprehensive and competitive mix of pay and benefits &ndash; investing in the physical, emotional and financial wellness of our colleagues and their families to help them be the healthiest they can be. In addition to our competitive wages, our great benefits include:<ul><li>
Affordable medical plan options, a 401(k) plan (including matching company contributions), and an employee stock purchase plan.</li><li>
No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching.</li><li>
Benefit solutions that address the different needs and preferences of our colleagues including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility.</li></ul>
For more information, visit https://jobs.cvshealth.com/us/en/benefits
We anticipate the application window for this opening will close on: 01/02/2026
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.</div>

Sr Manager, AI Engineer

Explore 107+ Applied ai software engineer in Boston this November. Find roles across top companies and apply now to boost your career.