Top Tech Jobs & Startup Jobs in Boston, MA

As a Lead AI Engineer, you will design and develop AI components, collaborate across teams, improve performance, and contribute to Capital One's AI vision.

The Senior Lead AI Engineer will design and develop AI-driven products, enhance scalable AI systems, and collaborate with cross-functional teams.

Lead a team to develop distributed systems using Golang and Python on Kubernetes, collaborate on AI/ML solutions, and drive technological innovation.

As a Distinguished Engineer, you will lead technical projects, mentor engineers, promote innovation, and provide strategic solutions for complex problems within Capital One's cloud banking environment.

The role involves partnering with cross-functional teams to build AI-powered products, conducting applied research, and developing AI foundation models across various phases.

Lead Data Engineer will design, build, test, and support cloud-based data solutions and streaming systems. Collaborate with Agile teams and product managers, mentor engineers, implement big data tooling (Spark, Kafka, EMR), and optimize data warehousing (Redshift, Snowflake) using Java/Scala/Python and SQL. Ensure code quality with unit tests and reviews.

Lead engineering teams building AI-native, cloud-based finance platforms. Oversee design, governance, and delivery of distributed microservices and multi-agent AI workflows, mentor engineers, collaborate with product managers, and drive enterprise transformation using cloud, containers, and modern languages/tools.

Lead ML engineer responsible for productionizing ML systems: design, build, deploy, monitor, and scale models and data pipelines on cloud (AWS). Collaborate cross-functionally, apply MLOps best practices (CI/CD, testing, governance), and maintain high availability and explainable AI standards.

Lead design, build, and deploy production-scale generative AI and agentic systems: foundation model training, LLM inference, vector search, guardrails, evaluation, observability, and performance optimization across cloud infrastructure.

Lead a team and portfolio building distributed microservices and full-stack systems to meet regulatory needs. Design and deliver cloud-based solutions, mentor engineers, collaborate with product managers, and adopt emerging technologies (containers, orchestration, databases, cloud, AI tooling) to drive customer-facing experiences.