Top AI Jobs in Boston, MA

Leads onsite service relationships for a New York Life general office, serving as liaison among agency managers, recruiters, agents, and service teams. Resolves escalations, oversees onsite specialists, supports sales initiatives, trains users on AI and digital tools, coordinates engagement events, drives adoption, manages office operations, and oversees financial processes.

Develops AI and machine learning prototypes for insurance applications using Python, large language models, NLP, retrieval-augmented generation, agentic AI, information retrieval, and computer vision. Collaborates with data scientists and engineers on ideation, product design, algorithm development, data analysis, and experimentation in an R&D environment.

Develop AI and data analytics solutions for AML and sanctions clients within PwC’s Risk & Regulatory practice. Responsibilities include Python-based data analysis, designing data architectures and pipelines, creating dashboards, interpreting complex datasets, engaging stakeholders, and delivering actionable insights and tailored client solutions. The role also involves client relationship building, problem-solving, continuous improvement, and contributing to strategic business outcomes.

Leads the Independent Agency Data Science team and oversees Quote Efficiency models, emerging AI/ML initiatives, and products supporting agents, territory managers, and producers. Manages 7–10 data scientists across model development, deployment, monitoring, and performance evaluation. Partners with analytics, technology, strategy, marketing, and business stakeholders while developing talent and communicating with senior executives.

Leads multidisciplinary teams developing, testing, and analyzing biotechnology solutions for health R&D and national security. Responsibilities include experimental and statistical analysis, technical marketing, proposal development, customer engagement, and serving as a technical contact for partners and subcontractors. The role requires advanced biology expertise, technical leadership on research programs, broad interdisciplinary knowledge, strong communication, and experience writing successful proposals.

Own product marketing for Flywire’s Travel solutions across hospitality and experiential segments. Define positioning, ideal customer profiles, buyer personas, messaging, go-to-market strategies, launches, sales enablement, and competitive materials. Partner with Product, Sales, Marketing, Partnerships, and RevOps to improve pipeline quality, conversion, win rates, and revenue. Synthesize customer and market feedback into product and commercial direction, while applying AI to improve marketing workflows and scalability.

Leads analytical methodology and evaluation for AI-based healthcare and pharmaceutical workflows. Owns model selection, cohort and HCP segmentation, agent decision logic, and evaluation frameworks. Partners with engineering, data architecture, and governance teams to productionize rigorous analytical methods, identify new data and techniques, communicate insights, and mentor data science and engineering colleagues.

Leads data science methodology and advanced analytics for AI-enabled Medical Affairs workflows. Develops and evaluates statistical, machine-learning, NLP, and AI models using healthcare and real-world data; defines validation, monitoring, and decision frameworks; partners with engineering, governance, and business teams to operationalize solutions. Provides technical leadership, mentorship, documentation standards, and strategic guidance while ensuring privacy, compliance, responsible AI use, and clear communication of analytical findings.

Supports data quality assurance projects by checking errors, identifying inconsistencies, profiling data, assisting with data management plans, and developing quality improvement initiatives. The intern conducts research, contributes to audit-compliance analytics, collaborates with team members, and learns PwC methodologies while gaining professional experience in data integrity and management.

Lead Data Engineer developing cloud-based data and AI solutions for risk management. Responsibilities include building, testing, deploying, and supporting full-stack systems; developing data pipelines, distributed and streaming applications; using cloud warehouses, RDBMS, NoSQL databases, and machine learning technologies; conducting code reviews and unit tests; collaborating across Agile teams; and mentoring engineers. The role requires application development, big data, and cloud experience, with preferred expertise in real-time data, data warehousing, distributed computing, and AI tooling.

Leads a team of software developers and a portfolio of technology projects focused on risk management and regulatory solutions. Builds and deploys cloud-based, AI-powered full-stack applications using distributed microservices and modern databases. Collaborates with product managers and cross-functional partners, mentors engineers, evaluates code, drives technology adoption, and oversees robust solutions using AWS and related technologies.

Supports PwC Deals diligence analytics projects through data gathering, analysis, research, visualization, data mining, algorithm development, and preparation of reports and presentations. The intern will use Alteryx and Power BI, integrate data from multiple sources, develop data-driven insights for clients, and learn from advisory professionals while contributing to cloud, data architecture, and AI-related initiatives.

Supports technology risk consulting teams by identifying technology, data, and cyber risks; developing governance, controls, and compliance solutions; assisting with secure platform engineering and architecture; analyzing business data; documenting processes; and contributing to digital transformation projects while learning client service practices.

Leads a software engineering portfolio and people-management team building cloud-based, full-stack risk technology solutions. Oversees distributed microservices, regulatory technology, AI-powered risk management tools, and collaboration with product managers. Mentors engineers, evaluates code, promotes modern technology practices, and may contribute hands-on development using multiple programming languages, databases, containers, Kubernetes, and cloud services.

Supports financial due diligence for mergers and acquisitions by analyzing financial statements, business performance, earnings quality, working capital, valuations, forecasts, and financial models. Assists with transaction risk assessment, client reports, presentations, and corporate finance planning while learning PwC advisory methodologies and collaborating with experienced professionals.

Designs and develops innovative, end-to-end learning experiences across eLearning, instructor-led, virtual, on-the-job, multimedia, simulation, and performance-support formats. Partners with subject matter experts and business stakeholders, applies adult learning and user-centered design principles, uses AI and immersive technologies, manages multiple projects, and evaluates learning effectiveness through assessments, analytics, and learner feedback.

Supports internal audit teams by evaluating controls and business processes, analyzing financial statements under GAAP and auditing standards, conducting risk analysis, and assisting with IT audit activities. The intern contributes to process improvement, data visualization, report writing, stakeholder management, and project coordination while developing accounting, audit, and commercial awareness skills.

Support legal, regulatory, and compliance consulting projects involving fraud investigations, forensic analysis, regulatory enforcement, governance, and risk mitigation. Responsibilities include researching commercial laws, reviewing legal documents, maintaining corporate records and legal databases, and assisting with contract negotiation and dispute resolution. The intern will collaborate with advisory teams, learn PwC methodologies, and contribute to client deliverables while developing skills in legal compliance, regulatory management, and investigations.

Summer 2027 internship opportunities are available across sensors, intelligence, cyber, analytics and command-and-control, systems, operations, and corporate functions. Interns should be enrolled in a BS, MS, or PhD program, demonstrate strong academics and research interest, and be able to obtain a security clearance. The program offers competitive pay, housing at the Massachusetts site, alternate-site bonuses, flexible hours, and summer activities. Roles support advanced defense, intelligence, cybersecurity, sensing, communications, electronic warfare, and artificial intelligence research.

Drive product development for Mastercard’s commerce media and AdTech solutions. Responsibilities include defining product concepts, requirements, roadmaps, MVPs, workflows, and technical features; partnering with Engineering, Data Science, CX&D, TPMs, and business stakeholders; supporting go-to-market strategy and business cases; conducting market research; managing global workstreams; and mentoring junior product managers.

Drives enterprise sales growth for GitLab across the Northeast by managing strategic accounts, developing account plans, generating pipeline, and leading complex B2B software sales cycles. Builds C-level relationships, coordinates solutions architects and partners, guides customers through evaluation to implementation, expands platform adoption, forecasts opportunities, analyzes wins and losses, and presents business value. The role is fully remote and focused on AI-powered DevSecOps solutions.

The Sales Development Representative conducts outbound prospecting to internal IT departments and channel partners through phone, email, and LinkedIn. Responsibilities include building pipelines, qualifying prospects, setting product demos, supporting Account Executives, meeting sales quotas, maintaining accurate Salesforce records, and learning cybersecurity solutions. The role also involves exploring AI tools for prospect research, prioritization, outreach preparation, and follow-up in a remote environment.

Supports Liberty Mutual’s underwriting organization through process improvement, business analysis, reporting, training, authority management, and strategic initiatives. Researches business challenges, analyzes processes, gathers stakeholder feedback, evaluates solutions, and helps drive projects from concept through implementation. Gains exposure to commercial insurance operations, data analytics, and artificial intelligence while partnering with underwriting leaders and business stakeholders.

Analyzes the exposure management competitive landscape, synthesizes technical and market intelligence, conducts win/loss analysis, supports competitive deals, develops field enablement materials, and recommends product and go-to-market strategies. Partners with Product, Sales, Marketing, Strategy, Investor Relations, and senior leadership to translate complex cybersecurity concepts into actionable guidance and executive insights.

Develop end-to-end full-stack solutions using front-end and back-end technologies, optimize existing products, and lead key Customer Hub initiatives. The engineer will make technical decisions, evaluate trade-offs, deploy reliable and tested software, mentor teammates, conduct code reviews, and drive projects in an agile environment. The role focuses on personalized ecommerce shopper experiences and expects effective, responsible use of AI in software development.