Top AI Jobs in Boston, MA

Lead design and build of an AWS-only AI Operations platform: hosting, IaC, registries (Accountability, Agent, Tool), identity/authorization patterns, developer DX, observability, and security hooks for agentic systems. Evangelize internally and partner on compliance and security integrations.

Build internal AI operations infrastructure and tools (knowledge systems, agent-builder UIs, dashboards, catalogs). Design data flows and decide centralization vs decentralization. Create discoverable, governable surfaces for teams to compose and trust agents. Run a portfolio of small internal products, prioritize requests, and ship production code while partnering with a technical infrastructure counterpart.

Lead design, development, deployment, and support of large-scale AI systems (foundation model training, LLM inference, similarity search, guardrails, evaluation, observability). Optimize LLM performance and scalability, partner with cross-functional teams, and contribute technical vision and roadmap for foundational AI systems.

Design, build, and operate AI platform components (LLM gateway, model serving, developer tooling). Own features from development to production, contribute to reliability, observability, governance, and cross-functional integration while producing technical documentation and participating in design reviews.

Lead design, build, deploy, and support GenAI platform services (foundation model training, LLM inference, similarity search, guardrails, evaluation, observability). Optimize LLM performance and scalability, collaborate cross-functionally, contribute to technical vision and roadmap.

Lead AI-enabled cybersecurity strategy, transformation, and engineering engagements. Design and architect generative/agentic AI solutions, build AI-powered threat models and governance, manage teams and client relationships, and implement enterprise cyber risk controls to scale security capabilities.

Serve as a Microsoft Dynamics 365 functional lead delivering CRM/ERP assessments, design, configuration, fit-gap analysis, data migration, testing, training, and client-facing implementation support. Lead project tasks, create functional requirements and process flows, support proposals and business development, and coach junior staff to deliver solutions leveraging Microsoft platforms.

Lead design and implementation of data architecture for healthcare systems, influence stakeholders, mentor teams, ensure regulatory compliance, enable data integration and transformation, and apply AI techniques to improve healthcare operations and reporting.

Lead AI-native solution architecture and end-to-end technology delivery for client engagements. Set strategy, build product roadmaps, guide engineering teams on LLM/RAG implementations, mentor leaders, drive market opportunities, and ensure quality, integration, and compliance with firm standards.

Design and implement conversational and agentic AI solutions, build natural language interfaces and voice experiences, prototype UIs, conduct user research and usability testing, integrate AI platforms into contact center systems, and collaborate with cross-functional teams to optimize user interaction engineering and client outcomes.

Lead AI engineering teams to design, build, and deploy end-to-end AI solutions. Manage client relationships, plan and deliver projects, mentor staff, drive adoption of cloud-native microservices, CI/CD, vector databases and orchestration tools, and ensure high standards of quality, innovation, and compliance.

Design, code, test, and maintain applications using Kotlin, Rust, and SwiftUI. Implement ATDD and CI/CD, build API integrations and microservices, manage application lifecycle and project planning, conduct code reviews and debugging, collaborate with clients, and apply analytical thinking for business process improvements.

Develop, test, and validate Generative AI agents and data pipelines with automated testing and governance controls. Analyze complex problems, produce actionable insights, mentor junior associates, and collaborate with multidisciplinary teams to deliver AI-enabled client solutions while upholding professional standards and documentation.

Lead and oversee multiple multidisciplinary teams to architect, develop, deploy, monitor, and maintain full-stack AI solutions (including LLM integrations). Provide strategic and technical leadership, drive experimentation and CI/CD practices, ensure quality and stakeholder alignment, promote innovation, and mentor senior and junior team members to deliver business-aligned AI outcomes.

Lead AI governance engagements: develop and implement governance frameworks, assess risk and controls, manage client projects, mentor staff, ensure compliance with regulatory frameworks, and promote technology-driven improvements.

Lead large Microsoft Dynamics 365 (CRM/CE) implementations as a Senior Manager: engage senior clients, design functional solutions, oversee delivery lifecycle, coach teams, refine processes, and ensure operational excellence and adherence to firm standards.

Lead and coach teams to design, develop, and deliver production-grade AI and data solutions for clients. Manage client accounts, ensure quality and timelines, analyze complex datasets, implement best practices, and drive continuous improvement while fostering client relationships and technical excellence.

Lead design and delivery of AI-driven P&C insurance operations solutions: analyze client needs, architect and implement AI/software solutions, manage projects and budgets, coach teams, train clients, ensure adoption, and maintain standards, governance, and evaluation practices to drive operational efficiency and innovation.

Lead deal-focused strategic advisory for M&A, divestitures, and restructuring. Analyze markets, build financial models, identify risks and value-creation opportunities, manage projects and client relationships, and mentor junior staff to deliver high-quality outcomes.

Lead QA for AI-enabled software: design and execute test strategies, identify and resolve defects, automate browser and regression tests (Selenium), validate model outputs and data, perform compatibility and post-go-live support, and provide client-facing QA process design and mentoring.

Lead design and implementation of AI and blockchain-enabled integration and platform architectures. Analyze requirements, develop technical designs, direct large projects, validate outcomes with clients, coach diverse teams, drive cloud strategy (Azure), perform feasibility studies and business process modeling to optimize enterprise technology infrastructure.

Lead development and delivery of healthcare AI/GenAI solutions for health systems—architect RAG and agentic workflows, manage global MLOps and model governance, engage executive stakeholders, and drive production-grade use cases across clinical, financial, and operational domains.

Lead tech-enabled deal advisory across M&A, divestitures, and restructuring. Set strategy, guide complex transactions, identify risks and value-creation opportunities, drive AI and technology-led initiatives, maintain executive client relationships, and mentor emerging leaders.

Lead design and implementation of Microsoft Dynamics 365 ERP solutions, manage large-scale projects, engage senior clients, build and coach high-performing teams, resolve complex challenges, and drive operational excellence and strategic growth for the firm.

Lead design and delivery of conversational and agentic AI solutions for client contact centers. Manage teams, mentor junior staff, gather requirements, design UIs, run usability testing, and implement AI integrations to improve customer experience and product adoption.