Top AI Jobs in Boston, MA

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.

The AI Enablement Engineer accelerates AI quality, speed, and consistency by implementing best practices, reusable components, and technical leadership in AI delivery across the company.

The role manages teams developing strategies to understand risks, optimize performance, and drive analytics for fraud prevention, while building relationships across departments.

The Product Manager will lead research on competitive metrics and AI impact, ensuring product strategy aligns with market needs and informing senior leaders.

This role involves managing major accounts, exceeding sales targets, and building relationships with enterprise financial services clients, utilizing a consultative selling approach to address their IT needs.

The Senior Software Engineer will lead technical areas, manage AI/ML projects, develop model services, APIs, and collaborate on design and UX to enhance cloud-based AI solutions.

As an Optical Engineer, you will lead the assembly, integration, and testing of optical systems for spaceborne applications, collaborating with suppliers and managing production scaling.

Collaborate with cross-functional teams to develop AI-powered products, conduct applied research, and deliver AI foundation models from design to implementation.

The Senior AI Engineer will develop and support AI software components, collaborate across teams, and optimize large-scale AI systems at Capital One.

As an Applied Researcher I in AI Foundations, you'll partner with teams to develop AI-driven products, conduct applied research, and enhance customer interactions through innovative solutions.

The Knowledge Enablement Specialist will shape AI knowledge consumption by optimizing content for AI support, analyzing trends, and driving frameworks for AI performance improvement.

The Senior Lead AI Engineer will develop, optimize, and support AI products, collaborating with teams to implement machine learning solutions transforming customer interactions at Capital One.

As a Lead AI Engineer, you will design and develop AI software components, optimize large scale AI systems, and collaborate with various teams at Capital One to enhance customer interactions with AI solutions.

The Lead AI Engineer will design, develop, and support AI software components, leveraging various AI technologies to enhance banking services. The role involves partnering with cross-functional teams to deliver AI-powered products and optimize large-scale production AI systems.

As a Senior AI Engineer at Capital One, you will develop and optimize AI systems, collaborate with cross-functional teams, and contribute to foundational AI technologies.

The Senior Lead AI Engineer will develop, test, and support AI software, design new models, and enhance AI product offerings at Capital One while collaborating across teams.

The Senior Lead AI Engineer will develop and support AI software components, collaborate with cross-functional teams, and enhance banking experiences through AI systems.

The Senior AI Engineer will design, develop, and support AI systems, optimizing machine learning algorithms, and collaborating with cross-functional teams to deliver AI-powered solutions.

The AI Engagement Manager will lead strategic relationships with institutional owners to harness AI, improve asset performance, and drive measurable ROI across real estate portfolios.

As an Applied Researcher I, you will collaborate with cross-functional teams to develop AI models, conduct applied research, and translate complex work into business goals.

Manage AI platforms, focusing on zero and low-code solutions. Collaborate with vendors and engineering teams to enhance AI capabilities and cross-functional integrations.

Protect CrowdStrike intellectual property by detecting and investigating eCommerce fraud. Build and maintain Snowflake data pipelines and SQL queries, develop rules-based risk engines, leverage Python and AI/LLM tools for detection, triage incidents, communicate findings across stakeholders, and refine automated workflows to reduce fraud and onboarding vulnerabilities.

The Technical Operations Engineer III role focuses on leading AI solutions, integrating LLM-based technologies, mentoring team members, and ensuring the performance and quality of AI applications.

The iOS Engineer II will develop scalable Android features, collaborate with teams, optimize app performance, and ensure code quality.

The Sr. Competitive Intelligence Analyst supports AI for Security portfolio, analyzing competitors' strategies and providing actionable insights to enhance CrowdStrike's market position.