Top AI Jobs in Boston, MA

Lead QA activities for AI-enabled applications: design and execute test strategies, identify and resolve defects, perform functional and compatibility testing, validate model outputs and data, automate tests (Selenium), analyze results to inform recommendations, support post-go-live issues, and collaborate with clients and teams while mentoring junior staff.

Manage AI-focused software product lifecycle from definition through release and end-of-life. Collaborate with cross-functional teams, conduct market and customer analysis, develop business cases and go-to-market plans, translate business needs into AI product requirements, apply data-driven insights, and build client and stakeholder relationships while navigating ambiguity and driving product innovation.

Lead design and implementation of enterprise AI architectures and integration solutions, oversee multiple projects, maintain executive client relations, drive business growth, mentor teams, and promote technology innovation across the firm.

Lead strategic advisory for M&A, divestitures, and restructuring, analyzing market trends and financials to drive deal value. Develop frameworks, validate outcomes with clients, direct teams through complex transactions and post-merger integration, and coach high-performing, diverse teams while upholding professional and independence standards.

Lead and manage a software engineering team to design, develop, test, and deploy AI-enabled applications. Own project planning, budgeting, and delivery while implementing CI/CD, ATDD, API management, microservices, and secure, observable production deployments. Mentor developers, conduct code reviews, troubleshoot complex issues, and drive engineering quality and innovation to meet client needs.

Lead AI governance engagements by assessing risk, controls, and compliance frameworks (NIST/ISO). Translate technical AI/ML concepts for non-technical stakeholders, mentor juniors, build client relationships, and deliver data-informed risk recommendations.

Lead deals-focused strategic advisory across M&A, divestitures, and restructuring. Advise clients on market trends, risks, financial modeling, and value-creation strategies. Drive business development, maintain executive client relationships, translate vision into execution, mentor teams, and promote AI and technology-led innovation to maximize deal outcomes and firm growth while upholding professional standards.

Provide clients strategic guidance on privacy laws and data protection, conduct privacy impact assessments, develop privacy policies and programs, implement data protection measures, collaborate with cybersecurity teams on breach response, review legal documents, and manage client relationships to ensure regulatory compliance.

Lead and deliver production AI and GenAI solutions for health systems; serve as strategic advisor; manage and coach teams through ambiguity; design HIPAA-compliant MLOps, RAG/agentic pipelines, and model governance; translate clinical and revenue cycle workflows into AI use cases and align stakeholders.

Lead design and implementation of Microsoft Dynamics 365 solutions, supervise and mentor teams, manage project timelines and client relationships, translate complex requirements into technical designs, drive data migrations and integrations, and improve service delivery and productivity.

Lead design and implementation of Microsoft Dynamics 365 ERP/CRM solutions as a Senior Manager. Guide large-scale projects, engage senior clients, build high-performing teams, resolve complex issues, and drive operational excellence and firm growth.

Lead development and implementation of AI/ML solutions, transform data into insights, design and optimize models, manage projects and budgets, supervise and mentor teams, maintain quality and client relationships, and drive innovation across analytics engineering initiatives.

Lead Microsoft Dynamics 365 CRM/F&O implementations: architect solutions, manage project lifecycles and client accounts, mentor teams, ensure quality, provide post-go-live support, and drive innovation with AI/Copilot integration.

Lead and manage teams building AI/ML and data engineering solutions for clients: plan and deliver projects, mentor staff, ensure quality standards, analyze complex datasets, foster client relationships, and drive continuous improvement and innovation.

Design and implement AI/ML solutions using Oracle and modern ML tooling, analyze complex problems, mentor junior staff, build client relationships, and integrate AI into applications while maintaining professional and ethical standards.

Lead development and delivery of production-grade AI solutions, advise on large-scale projects, manage and coach high-performing teams, collaborate with stakeholders, analyze complex data for innovation, and ensure adherence to technical and professional standards.

Manage an AI Quality engineering team to define technical strategy, architecture, and metrics; build testing frameworks for model drift and performance; oversee vendor integrations; drive engineering productivity improvements; and mentor team members.

The Machine Learning Scientist will develop AI frameworks for predictive modeling in oncology, collaborating with teams to enhance drug R&D efforts through advanced machine learning techniques and multimodal data integration.

The Enterprise Architect will design scalable AI solutions, mentor teams, support business development, and manage client relationships while evolving technology practices.

As a Lead AI Engineer, you will develop and support AI products, enhance system performance, and collaborate across teams to innovate AI solutions for Capital One.

Lead AI Engineer responsible for developing AI-powered products, optimizing large language model inference, and collaborating across teams to enhance customer interactions and business value.

The Senior Data Scientist will design and implement AI-enabled products using clinical trial data, mentor team members, and collaborate with stakeholders.

Lead AI Engineer responsible for designing and developing AI-powered products, utilizing ML algorithms, and optimizing large-scale AI systems. Collaborate with cross-functional teams to enhance customer experience and drive AI initiatives at Capital One.

Lead program design and delivery for DTC data and AI initiatives: manage Snowflake-based data pipelines, build and deploy AI tools, design processes, ensure measurement governance (GA4), and align stakeholders to drive commercial growth.

Lead design, development, deployment, and support of foundational AI systems including LLM training and inference, similarity search, guardrails, evaluation, governance, and observability. Optimize large-scale AI performance (latency, throughput, cost), collaborate cross-functionally, and contribute to technical vision and roadmap for production AI infrastructure.