Senior Ai Engineer Delivery Acceleration jobs in Boston – Browse 1,408 openings on RoboApply Jobs

Senior Ai Engineer Delivery Acceleration jobs in Boston

Open roles matching “Senior Ai Engineer Delivery Acceleration” with location signals for Boston. 1,408 active listings on RoboApply Jobs.

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ServiceNow logoServiceNow logo
Full-time|On-site|Boston

ServiceNow is seeking a Senior AI Engineer focused on Delivery Acceleration in Boston. This position centers on using artificial intelligence to improve how the company delivers its services and solutions. Role overview The Senior AI Engineer works with cross-functional teams to design and implement AI-driven improvements in delivery processes. The goal is t…

Apr 29, 2026
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Whoop logoWhoop logo
Full-time|On-site|Boston, MA

Role overview This Backend Software Engineer II position at Whoop focuses on hardware acceleration. The work centers on building backend systems that support health and fitness tracking products. Scalability and efficiency are key priorities for these systems. What you will do Develop and maintain backend services that use hardware acceleration to boost platform performance Collaborate with other engineering teams to support both new and existing health and fitness tracking features Help ensure core backend services remain reliable and scalable Location This position is based in Boston, MA.

Apr 26, 2026
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CarGurus, Inc. logoCarGurus, Inc. logo
Full-time|On-site|Boston, Massachusetts, United States

Join CarGurus as a Senior Sales Acceleration Partner, where you will play a pivotal role in enhancing our account management strategies. In this dynamic position, you'll leverage your expertise to drive growth and strengthen client relationships, ensuring our customers receive unparalleled service.

Mar 4, 2026
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Motional logoMotional logo
Full-time|$240K/yr - $330K/yr|Remote|Boston, Massachusetts, United States; Pittsburgh, Pennsylvania, United States; Remote U.S.

Mission Summary:We are looking for a highly skilled and innovative Principal Engineer to take the helm as Tech Lead Manager for our newly established Machine Learning (ML) Acceleration team. This critical position will spearhead the strategy, development, and implementation of initiatives designed to dramatically enhance the training speed of ML models. Our ultimate aim is to significantly shorten the development cycle for new ML models and facilitate rapid hot-patching for challenges encountered in our autonomous vehicle services.As a hands-on leader, you will merge extensive technical knowledge in ML systems and performance optimization with exceptional leadership and management capabilities. You will be responsible for recruiting, mentoring, and nurturing a high-performing team of engineers, while cultivating a culture of innovation, teamwork, and ongoing enhancement.Key Responsibilities:Team Leadership & Management:Establish, direct, and oversee a top-performing team of ML and infrastructure engineers dedicated to acceleration initiatives.Provide technical direction, mentorship, and professional growth opportunities for team members.Encourage a collaborative and inclusive team atmosphere.Set team objectives, priorities, and operational roadmap in alignment with organizational goals.Technical Strategy & Execution:Articulate the technical vision and strategy for ML acceleration throughout the organization.Identify and assess state-of-the-art technologies and methodologies for expediting ML training, including data pipeline optimization, large-scale distributed training, data loader optimization, hardware acceleration, and model optimization techniques.Design, develop, and implement scalable and efficient ML acceleration solutions.Cross-functional Collaboration:Work closely with ML research, ML training platforms, and product teams to comprehend their requirements and seamlessly integrate acceleration solutions.Effectively communicate complex technical concepts and strategies to both technical and non-technical audiences.Serve as a technical expert and advocate for ML acceleration projects across the organization.Impact & Measurement:Regularly assess and report on the effectiveness of acceleration initiatives.Continuously pursue opportunities for further optimization and innovation.

Mar 31, 2026
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Klaviyo logoKlaviyo logo
On-site|On-site|Boston, MA

At Klaviyo, we celebrate the diverse backgrounds, experiences, and perspectives that each team member brings to our vibrant workplace. We believe that everyone deserves an equal opportunity to succeed, and we value the unique insights that individuals contribute beyond traditional qualifications. If you find that you closely match the criteria but not perfectly, we encourage you to apply. Interested in discovering more about life at Klaviyo? Visit klaviyo.com/careers to see how we empower creators to take charge of their future.At Klaviyo, we envision a future where software transcends traditional productivity tools, evolving into intelligent systems that autonomously optimize based on performance metrics. Our platform serves as a crucial bridge between businesses and their consumers, boasting over 167,000 customers, billions of consumer profiles, and a vast array of customer interactions and conversion data. This presents an exciting opportunity to develop cutting-edge AI and machine learning technologies that will enhance our product offerings and create AI agents capable of autonomously orchestrating marketing strategies and customer experiences across various industries.As a Senior AI Engineer at Klaviyo, you will be instrumental in architecting and developing scalable backend systems and user experiences that drive our AI innovations forward. You will collaborate closely with product managers, machine learning engineers, and data scientists to create substantial real-world impacts at scale. This role is primarily backend-focused, providing opportunities to influence system architecture, asynchronous processing pipelines, distributed systems, and more.

Jan 29, 2026
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Klaviyo logoKlaviyo logo
Full-time|On-site|Boston, MA

Join Klaviyo as a Senior AI Engineer and be a pivotal part of our innovative team, driving the future of AI technology in marketing automation. You will leverage your expertise to design, develop, and implement cutting-edge AI solutions that enhance our products and empower our clients.

Mar 20, 2026
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FieldAI logo
Full-time|On-site|Boston, MA

FieldAI is at the forefront of revolutionizing robot interactions with the real world. Our dynamic R&D team, based in Boston, is committed to developing risk-aware, reliable, and field-ready AI systems that address the most challenging problems in robotics and unleash the potential of embodied intelligence. We adopt a pragmatic methodology that transcends traditional off-the-shelf and purely data-driven approaches, integrating cutting-edge research with practical deployment. Our solutions have been successfully implemented globally, and we continuously enhance model performance through rapid iterations informed by real-world applications.We are looking for a seasoned Senior Engineering Manager to lead an agile, high-performing team of research scientists and engineers at the cutting edge of robotics AI. In this pivotal role, you will craft and implement research strategies, oversee the creation of advanced AI algorithms, and steer initiatives from initial research to real-world deployment on physical robotic systems. You will harmonize deep technical leadership with effective people management, ensuring scientific excellence and tangible impact on the field.This is your chance to influence the future of robotic autonomy by transforming groundbreaking research into systems that function reliably in complex, dynamic environments on actual robots.

Aug 11, 2025
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rebuildmanufacturing logorebuildmanufacturing logo
Full-time|$143K/yr - $215K/yr|On-site|Greater Boston, MA; Los Angeles, CA; United States

Rebuild Manufacturing is building an AI-powered platform to improve hardware product development. The platform connects with tools that hardware teams already use, helping them track change requests and share important context. By coordinating across different disciplines, it keeps projects moving smoothly as requirements shift. Supported by a parent company with deep roots in engineering and manufacturing, the team is focused on closing communication gaps in hardware development. The goal: make sure every update and decision reaches the right people at the right time. Role overview The Senior AI Engineer will design and build the core AI agents that drive the platform. This work involves developing systems that can spot potential issues in hardware workflows, offer timely assistance, and help teams stay aligned as projects evolve. What you will do Create AI systems that integrate with existing engineering tools Develop features to coordinate change requests and share critical information Build solutions that help engineering teams anticipate and resolve workflow challenges Locations Greater Boston, MA Los Angeles, CA United States (other locations considered)

Apr 28, 2026
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Synquery logoSynquery logo
Full-time|On-site|Boston

Senior AI EngineerLocation: Boston (preferred) or Nashville | Travel: ~15% | Reports to: CTOAbout SynqueryAt Synquery, we are revolutionizing the way organizations access and scale human expertise through cutting-edge AI research. Supported by leading venture capital firms such as Afore Capital, Audacious Ventures, and Caesar Ventures, we collaborate with top consulting firms and investors to redefine working methodologies. Our AI-driven platform delivers expert insights in days, not weeks, transforming how clients approach due diligence, competitive intelligence, and market research.We foster a culture that prioritizes speed, entrepreneurial spirit, and a relentless pursuit of success. As we expand rapidly, we seek extraordinary engineers eager to develop world-class AI systems and contribute to the future of AI in business.The RoleWe invite a seasoned Senior AI Software Engineer to join Synquery at an exhilarating phase of our growth. This pivotal role entails significant responsibility across the entire product lifecycle, collaborating directly with the CTO to design and develop the systems that power our platform from start to finish.Our platform processes vast amounts of data through a sophisticated expert network automation pipeline, identifying the right experts, vetting credentials, ensuring availability and compatibility, and executing AI-driven interviews that yield actionable insights—all for some of the most demanding clients in consulting and investment. The technical challenges are substantial, the stakes are high, and the pace is rapid.Our mission is to democratize access to expert-level answers for questions lacking digital solutions—knowledge that resides solely in the minds of seasoned professionals. You will be instrumental in building the AI infrastructure that enables this: robust, scalable, and genuinely advancing the possibilities of agentic AI in real-world applications.

Mar 6, 2026
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Klaviyo logoKlaviyo logo
On-site|On-site|Boston, MA

Join our team at Klaviyo as a Senior AI Platform Engineer and be part of a transformative journey in the AI and machine learning landscape. We are looking for an innovative engineer who is passionate about designing and scaling backend systems that power cutting-edge AI products and solutions. In this role, you will have the opportunity to influence architecture decisions, enhance asynchronous processing, and work with distributed systems. Collaborate with product managers, machine learning engineers, and data scientists to create impactful solutions for over 167,000 customers globally. This hybrid role is based in the vibrant city of Boston, where creativity and technology converge.

Feb 10, 2026
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Unusual logoUnusual logo
Full-time|On-site|Boston, Massachusetts

OverviewJoin us as a Senior Principal AI Engineer where you will play a pivotal role in shaping and leading the development of complex, production-grade AI systems. This position is tailored for innovative builders—those with a proven track record of transforming AI concepts into operational systems, adept at identifying and overcoming challenges that arise during scaling, and skilled in empowering teams to accelerate progress without compromising quality.This is not a conventional strategy or management position; instead, it is a highly technical role that significantly influences organizational direction. You will establish the technical roadmap through coding, system design, and fostering a builder-centric culture even as we navigate increasing complexity and scale.

Feb 19, 2026
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Veeva Systems, Inc. logoVeeva Systems, Inc. logo
Senior AI Data Engineer

Veeva Systems, Inc.

Full-time|Hybrid|Massachusetts - Boston

Veeva Systems, a trailblazer in the industry cloud space, is dedicated to expediting the delivery of therapies to patients in the life sciences sector. With a remarkable ascent as one of the fastest-growing SaaS companies globally, we achieved over $2 billion in revenue last fiscal year, with promising growth opportunities on the horizon.At Veeva, we embody core values that guide our mission: Doing the Right Thing, Customer Success, Employee Success, and Speed. In 2021, we made history by becoming a public benefit corporation (PBC), reinforcing our commitment to balancing the needs of customers, employees, society, and investors.As a Work Anywhere company, we empower you with the flexibility to choose your work environment, whether at home or in the office, enabling you to excel in your ideal setting.Join us in transforming the life sciences industry and making a meaningful impact on our customers, employees, and communities.

Dec 12, 2025
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Veeva Systems Inc. logoVeeva Systems Inc. logo
Senior AI Data Engineer

Veeva Systems Inc.

Full-time|Hybrid|Massachusetts - Boston

At Veeva Systems, we are on a mission to revolutionize the life sciences industry by accelerating the process of bringing therapies to patients. As a trailblazer in the industry cloud space, we have achieved remarkable success, surpassing $2 billion in revenue last year with a promising trajectory ahead.Our core values—Do the Right Thing, Customer Success, Employee Success, and Speed—guide every decision we make. In 2021, we proudly became a public benefit corporation, reinforcing our commitment to balance the interests of all stakeholders, including customers, employees, and society.As a Work Anywhere company, we embrace flexibility, allowing you to choose your work environment—whether remote or in-office—so you can thrive in the way that suits you best.Become part of our journey to transform the life sciences sector and make a positive impact on the communities we serve.

Dec 12, 2025
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CarGurus logoCarGurus logo
Full-time|On-site|Boston, Massachusetts, United States

Join CarGurus as a Senior AI Engineer, where you will play a pivotal role in developing cutting-edge AI solutions that enhance our platform and user experience. Collaborate with a dynamic team of engineers and data scientists to innovate and implement AI technologies that drive our business forward.

May 1, 2026
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WHOOP logoWHOOP logo
Full-time|On-site|Boston, MA

At WHOOP, we are dedicated to enhancing human performance and extending healthspan through innovative solutions. Our mission is to empower individuals to reach their peak performance and enjoy longer, healthier lives. Utilizing advanced AI technologies, we transform continuous physiological data into meaningful insights and actionable recommendations. The AI platform is vital to our vision, converting raw physiological signals into personalized guidance that our members can implement daily.We are seeking a Senior AI/ML Engineer to play a crucial role in scaling our AI-driven experiences, which include WHOOP Coach, AI-powered Support, and various intelligent features across our product suite. In this pivotal position, you will be responsible for overseeing essential components of the AI Platform that power our internal AI Studio, such as evaluation pipelines, fine-tuning workflows, LLM observability, and experimentation tools. You will collaborate closely with product teams and data scientists to translate real user needs into robust, impactful AI systems that evolve based on actual usage.

Dec 4, 2025
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Axiomatic AI logoAxiomatic AI logo
Full-time|On-site|Boston, US / Barcelona, Spain

About Us:Axiomatic AI is at the forefront of creating a revolutionary class of AI systems that embody the principles of the scientific method. By merging deep learning with formal logic and physics-based modeling, we are developing verifiable and interpretable AI systems that enhance and support human researchers within critical scientific and engineering processes.Our ambitious mission, known as 30×30, aims to achieve a 30-fold improvement in the speed, accessibility, and cost of semiconductor and photonic hardware development by the year 2030.We are committed to transforming hardware design and simulation across these industries and are assembling a team of exceptionally driven professionals to transition innovations from research into viable commercial products.Position Overview:As a Senior Applied AI Engineer, you will serve as a vital link between AI research and the production of software. Your responsibilities will include:Collaborating with users and internal stakeholders to pinpoint workflows where AI can add significant value.Designing and implementing product features powered by large language models (LLMs), utilizing frameworks such as PydanticAI or similar tools.Making informed trade-offs among models and methodologies, considering factors such as quality, latency, cost, privacy, and reliability.Facilitating AI developers in deploying their work in a reproducible and secure manner.Setting engineering standards for applied AI development, including testing, code reviews, maintainability, and operational readiness.Working closely with backend engineers to seamlessly integrate AI functionalities into our products.Mentoring junior AI developers and overseeing pull requests to guarantee high-quality output and consistent development patterns.Your Mission:Applied AI Product DevelopmentOversee applied AI features from start to finish: discovery, design, implementation, rollout, and iteration.Convert user feedback into clear technical requirements and realistic delivery plans.Create LLM workflows, including tool-calling agents, structured output pipelines, retrieval/tool integrations, and effective prompting strategies.Iterate rapidly while maintaining high production quality (readability, maintainability, debuggability).Model & Prompt StrategySelect and assess LLMs (OpenAI/Anthropic/others) based on tangible constraints: quality, cost, latency, context limitations, and reliability.Develop prompt patterns and guardrails, including structured prompts, schemas, constraints, and fallback mechanisms.Design and execute lightweight evaluations to prevent regressions.

Jan 23, 2026
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Klaviyo logoKlaviyo logo
Full-time|On-site|Boston, MA

Are you passionate about artificial intelligence and eager to make a significant impact? Join Klaviyo's ARIA Team as a Senior AI Engineer. In this role, you will be at the forefront of developing cutting-edge AI solutions that enhance customer experiences and drive business growth. Collaborate with a talented team of engineers and data scientists to design and implement innovative machine learning models and algorithms.

Apr 3, 2026
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Code Metal logo
Full-time|Remote|Remote — Boston, Massachusetts, United States

Join Code Metal, where we are at the forefront of developing innovative AI-powered transpilation tools that seamlessly connect algorithm development with deployment for embedded systems. As a Senior Software Engineer specializing in Agentic AI, you will be instrumental in designing and executing sophisticated code generation pipelines that incorporate Generative AI, Static Analysis, and Formal Verification methodologies. This role provides a unique opportunity to influence the evolution of automated, AI-driven software translation for critical applications.Architect and implement intricate workflows utilizing state machines, message queues, and distributed processing.Leverage Docker and related technologies to maintain dependable and reproducible environments.Develop robust, modular codebases for code translation products that are thoroughly tested.Collaborate with domain experts to integrate verification techniques into AI-enabled code generation processes.Guarantee high availability and scalability of AI services through cloud platforms and distributed system architectures.

Oct 14, 2025
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Motional logoMotional logo
Full-time|$159K/yr - $207K/yr|Hybrid|Boston, Massachusetts, United States; Pittsburgh, Pennsylvania, United States; Remote U.S.

Mission: We are in search of a talented and driven Senior Data Engineering Analyst to join our innovative team focused on large-scale AI model evaluation through our platform, Ground Truth Regression. The ideal candidate will possess a solid foundation in data engineering, machine learning principles, and statistical analysis. At Motional, the orchestration of extensive data analysis is crucial for advancing our machine learning-driven autonomous driving technology. Our robo-taxi ML models and software are developed by a dedicated team of engineers and deployed multiple times daily. The Ground Truth Regression team is responsible for providing a comprehensive perception analysis framework to validate any changes that could influence the behavior of autonomous vehicles. The Ground Truth Regression team assesses the cumulative effects of ML and software modifications during the development phase, equipping the team with tools for root cause analysis and safety evaluations. We meticulously monitor model errors, anomalies, and rare occurrences across extensive driving scenarios, gathering insights over thousands of driving hours. The team is responsible for developing the full-stack infrastructure, including AWS Kubernetes orchestration, re-simulation, model metrics, regression reports, and deep-dive analytical tools. Collaboration with other perception and ML teams is integral for establishing metrics and analyzing outcomes. What You’ll Do: Collaborate with ML Engineers and Autonomy Software Developers to create new data analysis metrics and KPIs for validating autonomous vehicle performance. Pursue innovation by researching and developing new large-scale data analysis frameworks. Lead large-scale data analysis workflows to identify unexpected impacts of both planned and unplanned modifications to ML models and software. Construct high-quality datasets to enhance ML product performance through training and edge case validation. Deliver in-depth statistical insights on model performance and generalization through thorough error and change analysis. What We’re Looking For: Bachelor's or Master’s degree in Computer Science, Data Science, or a related field. Proficient programming skills in Python, SciPy, and related data analysis frameworks. Experience in machine learning, data mining, and statistical analysis. Familiarity with large-scale data processing and distributed computing technologies. Strong communication and software development skills, including goal setting, design documentation, testing frameworks, and collaborative team development.

Mar 31, 2026
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Search Fund Accelerator logoSearch Fund Accelerator logo
Internship|On-site|Boston

Search Fund Accelerator (SFA) is on the lookout for enthusiastic Private Equity Interns to assist our entrepreneurs in the exciting journey of identifying and acquiring businesses. This internship offers invaluable insights particularly suited for those aspiring to build careers in private equity, investment banking, consulting, and entrepreneurship. Interns will gain exposure to diverse industries and business models, along with critical skills in company valuation methods and research techniques.SFA’s Internship Program is designed to be enriching, featuring various workshops and events that enhance the learning experience. This position is perfect for undergraduate students eager to delve into the business world, especially in finance or consulting.The Internship Program demands a commitment of 20 hours per week over a minimum of 12 weeks. This unpaid internship is available to current students who can receive course credit from their university.

Aug 8, 2017

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