Top AI Jobs in Boston, MA

Lead AI-driven cybersecurity strategy and engineering engagements: design and architect AI-enabled cyber solutions, build agentic automations, develop AI-powered threat models, implement enterprise cyber risk governance, manage teams, and advise senior clients on transformation and risk-compliance.

Act as functional lead for Dynamics 365 CRM/ERP engagements: gather requirements, conduct fit/gap and process analysis, design solutions, manage projects, oversee configuration/customization, data migration, testing, training, and support sales and client presentations.

Lead and deliver AI-driven property & casualty insurance operations solutions: analyze client needs, design and implement software and agentic architectures, manage project timelines and budgets, coach teams, provide training and support, and ensure successful adoption, governance, and continuous improvement.

Lead development and delivery of production-grade AI/GenAI solutions for health systems. Architect RAG pipelines, agentic workflows, and MLOps frameworks; manage global teams; translate clinical and operational problems into measurable AI use cases across clinical decision support, population health, revenue cycle, and research while ensuring HIPAA-compliant deployments and executive-level stakeholder alignment.

Design and implement conversational and agentic AI solutions for clients, build natural language and voice interfaces, prototype UI/UX, conduct user research, integrate AI platforms, and lead development of AI-driven contact center and web applications.

Lead implementation and support of Dynamics 365 F&O Finance and project accounting modules. Manage client engagements, supervise and coach teams, perform business analysis, configure D365 F&O, design integrations, run testing and training, provide post-go-live support, and ensure adherence to firm methodologies and quality standards.

Lead AI engineering teams to design, develop, and deploy scalable, cloud-native machine learning and AI solutions. Manage client relationships, mentor staff, ensure quality, and drive adoption of modern tools and practices (Docker, Kubernetes, CI/CD, vector DBs, LangChain, cloud platforms).

Consult with clients to design, build, and integrate AI-enabled business applications, analyze needs, deliver implementations, provide training and support, use data analytics to inform recommendations, manage project delivery, and develop documentation to align technology with business strategy.

Lead design and delivery of Dynamics 365 solutions: analyze client needs, configure/customize D365 applications, manage project tasks and timelines, mentor teammates, and ensure quality, budget-conscious implementations while building client relationships.

Lead large Microsoft Dynamics 365 CRM engagements: define functional solutions, engage senior clients, drive delivery across lifecycle, coach teams, refine processes, and ensure operational excellence and strategic outcomes.

Lead AI governance engagements: develop and implement governance frameworks, assess regulatory risk, manage client projects, mentor teams, and drive technology-enabled controls and innovation to ensure compliance and transparency in AI systems.

Lead design and delivery of conversational and agentic AI solutions for client contact centers. Manage teams and client accounts, design UI/UX (AngularJS, HTML5, Figma), run usability research, translate requirements into technical specs, and mentor junior staff while driving innovation and human-centered design.

Lead design and implementation of enterprise technology and integration architectures, leveraging cloud (Azure) to deliver solutions. Manage projects end-to-end, coach and mentor teams, engage clients, evaluate new technologies, uphold professional standards, and identify growth opportunities for the firm.

Lead AI-native solution architecture and end-to-end technology delivery, develop product roadmaps and technology strategies, collaborate with cross-functional teams, mentor leaders, identify market opportunities, and ensure quality, integration, and successful implementation of AI-driven software solutions for clients.

Design, code, test, and maintain applications using Kotlin, Rust, and SwiftUI. Apply ATDD and CI/CD, implement API management and microservices, perform code reviews and debugging, collaborate with clients on requirements, and support software project planning and business process improvement.

Lead design and implementation of integration and platform architectures combining AI and blockchain to improve client performance. Analyze requirements, develop technical designs, lead large projects, validate outcomes with clients, direct and coach teams, drive enterprise architecture and cloud (Azure) strategies, and support feasibility studies and business process modeling.

Lead and manage data science initiatives: develop ML/DL models, oversee data pipelines and lakes, validate data quality, coach team members, liaise with stakeholders, and ensure projects meet timelines, budgets, and client expectations while promoting innovation.

Lead design, build, and operation of scalable, secure AI-powered platforms; manage and mentor cloud and platform engineering teams; deliver conversational bots and integrate Azure Cognitive Services; ensure reliability, security, automated testing, and cross-functional collaboration to translate People Tech & AI use cases into production solutions.

Lead and mentor teams to design, implement, and deliver AI/ML solutions using Oracle and modern ML technologies. Manage client relationships, translate business problems into AI strategies, drive solution architecture, ensure quality, and promote innovation across engagements.

Develop, test, and validate generative AI agents and data pipelines, implement automated testing and governance controls, analyze complex problems, mentor junior associates, and collaborate with multidisciplinary teams to deliver scalable, AI-enabled client solutions while upholding professional standards.

Lead design and implementation of healthcare data architecture and pipelines, ensure interoperability (HL7/FHIR), mentor teams, engage stakeholders, maintain HIPAA/PHI compliance, and apply GenAI and analytics to improve health system operations.

Lead M&A and deal advisory engagements: analyze markets, develop strategic frameworks, perform financial modeling and risk analysis, guide transaction execution, manage projects and budgets, mentor teams, and drive technology-enabled value creation.

Lead design and delivery of conversational and agentic AI solutions for advisory clients, using Dialogflow/Amazon Lex and voice AI. Drive UX design with Figma, run usability research, validate data security, advise stakeholders, and mentor teams to implement AI-powered contact center solutions that meet business objectives.

Develop and apply statistical analyses, machine learning, and ML/DL/NLP techniques to extract insights from large datasets, build predictive models, design data solutions and visualizations, ensure data pipeline integrity, collaborate with clients, and mentor junior team members in PwC's Assurance practice.

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.