Top Tech Jobs & Startup Jobs in Boston, MA

Leads product strategy and execution for integrating acquired companies and partnerships into Capital One’s Finance ecosystem. Establishes integration frameworks, aligns cross-functional workstreams, manages risks and blockers, and communicates strategies to executives. Uses data to assess opportunities and delivery performance while driving technology initiatives and organizational change. Also mentors product managers, shapes team culture, and promotes product management practices across Finance.

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 engineering teams to design, build, and scale back-end microservices and ML platform infrastructure. Collaborate with product managers and data scientists to deploy cloud-based solutions, mentor engineers, evaluate code, and ensure regulatory and operational needs are met using modern cloud, container, database, and ML tooling.

Lead and grow multiple product-focused engineering teams to design, build, deploy, and operate scalable, highly available full-stack and microservice solutions on AWS. Mentor engineers, drive engineering practices, break monoliths into microservices, improve velocity, and collaborate with product managers to deliver finance-focused systems including event-driven streaming and integrations.

Lead design, development, deployment, and support of scalable GenAI platform components (foundation model training, LLM inference, vector search, guardrails, evaluation, observability). Optimize training and inference performance, contribute to technical vision and roadmap, and partner with cross-functional teams to deliver responsible, production-grade AI systems.

Lead modernization of enterprise AI/ML infrastructure and analyst workflows. Build agentic, scalable, secure platform services, integrate generative AI and low-code/no-code tooling, scale AutoML for tabular and time-series, and engineer automated governance and controls while mentoring teams and influencing cross-functional stakeholders.

As an Applied Researcher II, you will create AI systems for banking, working with cross-functional teams to develop and implement AI-powered products, while conducting applied research and engaging with emerging technologies.

Lead a portfolio of technology projects with a team of developers to create solutions for regulatory needs, collaborating on cloud-based projects while mentoring engineers.

Lead a team building cloud-based full stack solutions and distributed microservices to meet regulatory and customer needs. Mentor engineers, collaborate with product managers, experiment with emerging tech, and deliver scalable AWS containerized systems using multiple languages and databases.

The role involves partnering with a team to deliver AI products, utilizing various technologies and conducting applied research to enhance customer experiences leveraging AI.