Top AI Jobs in Boston, MA

Provide legal counsel on privacy, information security, data use, and AI across the U.S. business. Draft and negotiate data and security-related contracts, assist with data subject requests and incident response, monitor regulatory changes, and partner with business and compliance teams to implement practical, compliant solutions.

Lead technical design and delivery of production AI/ML and GenAI solutions (RAG, LLMs, agents). Build, tune, deploy, and monitor models and APIs, own MLOps practices, operate cloud AI workloads, ensure software quality and responsible AI, and partner with cross-functional stakeholders while mentoring engineers.

Lead the development of AI software components for Capital One, including model training, inference, and system optimization. Collaborate with cross-functional teams to deliver groundbreaking AI solutions, ensuring quality and scalability while mentoring junior team members.

The role involves developing AI foundation models, collaborating with cross-functional teams, and conducting applied research to enhance customer experiences using advanced AI techniques.

As a Lead AI Engineer at Capital One, you will design and develop AI systems, collaborate with cross-functional teams, and optimize AI solutions for performance and scalability.

As a Distinguished AI Engineer, you will design and develop AI software, partner with cross-functional teams, and create optimized AI systems to enhance customer interaction and improve banking services.

This role involves partnering with teams to develop AI-powered technology, advancing applied research in AI, and delivering impactful models. Candidates will work on foundational models and leverage new technologies to optimize customer interactions with banking services.

Lead design, development, deployment, and optimization of large-scale AI/ML systems (training, inference, orchestration, observability). Collaborate cross-functionally to build responsible, scalable generative AI and agentic platforms, improve performance and cost, and shape long-term ML systems roadmap.

The role involves partnering with cross-functional teams to design, develop, and deploy AI software solutions, focusing on large language models and AI optimization techniques.

Drive go-to-market strategy and adoption for Kensho AI products by bridging technical AI capabilities and commercial teams. Lead customer demos, technical deep-dives, co-development partnerships, market analysis, and sales enablement while feeding product and strategy teams with market insights to expand revenue and partnerships.

Lead and grow an AI Platform engineering team delivering cloud-native infrastructure for AI/ML development. Own people leadership, hiring, roadmap delivery, architecture reviews, engineering standards, stakeholder communication, and team wellbeing while partnering across AI, product, and cloud teams.

Lead financial analysis and pricing negotiations for RIA and FFOS custody deals. Build valuation models, evaluate deal profitability, drive automation and predictive analytics, design pricing architecture and dashboards, support sales/RM escalations, and present recommendations to senior leadership.

Manage biographical data integrity for AA&D CRM (Advance): oversee scheduled data projects (graduation conversions, NCOA, voter files), design batch imports/exports, run data cleaning and QA, build queries/reports with SQL and BI partners, test changes, supervise one direct report, and collaborate across teams to improve processes and leverage AI/RPA for efficiency and accuracy.

The Principal Systems Architect will lead multidisciplinary engineering solutions, bridge knowledge gaps, mentor teams, and drive complex system challenges while ensuring stakeholder needs are met.

Lead the sales team, drive direct sales to new clients, establish sales objectives and quotas, train staff, and maintain professional knowledge.

Lead cross-functional ML/AI initiatives, drive technical roadmaps, mentor teams, and deliver impactful ML/AI solutions for business growth.

The role involves teaching, strategic leadership, and administrative oversight for the MS in Health Informatics Program, ensuring curriculum relevance and program success across multiple campuses.

The Principal Research Scientist will lead research on resilient AI, manage projects, publish findings, secure grants, and supervise staff and students.

Faculty will oversee and teach PharmD practice labs, develop simulation-based and interprofessional education, design assessments, manage lab operations, provide didactic teaching, participate in service, and engage in scholarship of teaching and learning.

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

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.

Design and build agentic AI features by integrating LLM APIs into product workflows. Write well-tested TypeScript across the stack, implement tool invocation and multi-step reasoning flows, collaborate with Product and Design, and improve reliability and performance of agentic systems while documenting findings.

Lead GTM strategy for AI products, drive sales implementation and adoption, define KPIs/OKRs, enable teams with agentic AI workflows, and translate technical capabilities into measurable business outcomes across cross-functional stakeholders.

Partner with teams to deliver AI-powered products, build foundation models, and conduct applied research to enhance customer experiences.

Lead design and build of scalable full‑stack AI enablement platforms and tools to accelerate engineering workflows. Champion experimentation, automation (code generation, testing, deployment), best practices, and cross‑team collaboration while mentoring engineers and delivering production‑ready solutions.