Top Tech Jobs & Startup Jobs in Boston, MA

Design and build an enterprise generative AI platform: agent orchestration, memory, guardrails, vector search, SDKs, and blueprints. Standardize agentic workflows, optimize orchestration and cost, own Helm/Kubernetes operators, ensure trust and safety, mentor engineering teams, and evangelize platform architecture internally and externally.

Lead design and delivery of an agentic AI platform: define architecture, standardize agentic workflows, build GenAI SDK/CLI, harden guardrails and observability, optimize orchestration and costs, own Helm/K8s operators for autoscaling, incubate RFCs and proofs of concept, and mentor engineering leaders while evangelizing platform practices internally and externally.

Lead enterprise-scale Generative AI programs from research to production, focusing on multi-agent conversational systems, agentic architectures, pretraining/finetuning, and inference optimization. Drive cross-functional delivery, manage technical risk, establish evaluation and deployment frameworks, partner with risk/compliance, and ensure scalable, secure adoption of AI solutions.

Lead and mentor engineering teams to build distributed microservices and full‑stack cloud solutions for risk management. Collaborate with product managers, deliver scalable AI‑enhanced systems, and apply modern tooling (containers, databases, cloud).

Lead and mentor a team building distributed, cloud-based full‑stack systems and microservices for risk management. Collaborate with product managers to design, implement, and deploy scalable solutions using modern languages, containers, and cloud services while driving technical excellence and adoption of AI-enabled tooling.

Lead a team delivering cloud-native, full-stack and microservices solutions for risk and compliance. Drive architecture, mentor engineers, collaborate with product managers, and build scalable AWS-based systems using modern languages, containers, and databases to meet regulatory and AML requirements.

Lead product efforts to modernize Capital One's core financial system, partnering with architects, designers, engineers, and developers to deliver human-centered, technology-driven solutions that enable scalable, resilient services and improved business decision-making.

Ten-week, full-time paid Data Science internship (June–August 2027) working on machine learning, deep learning, and large-scale data analysis. Interns evaluate modeling tools, integrate internal and external data/APIs, design data science models, and present insights to stakeholders. In-person attendance at an assigned U.S. location is required; interns may be considered for full-time roles after graduation.

Ten-week, full-time paid Data Science internship for current PhD students. Interns will build and evaluate modeling and analytics tools, integrate internal and external data sources, design data science models, and communicate results. Candidates must continue their PhD after the internship and may be evaluated for full-time roles upon graduation.

Lead Data Engineer responsible for designing, developing, testing, and supporting cloud-based data solutions for Risk Tech. Collaborate with Agile teams to build distributed, real-time data and streaming systems using big data tools, data warehouses, RDBMS/NoSQL, and mentor engineering peers while ensuring performance and code quality.