Top Tech Jobs & Startup Jobs in Boston, MA

Lead design, build, and operate scalable GenAI platform components including foundation model training, LLM inference, similarity search, guardrails, evaluation, governance, and observability. Collaborate cross-functionally, invent LLM optimization techniques, and shape long-term technical vision for foundational AI systems.

Leads the design, development, deployment, and support of foundational AI systems, including model training, LLM inference, similarity search, guardrails, evaluation, governance, experimentation, and observability. Develops optimization techniques to improve scalability, latency, throughput, hardware utilization, and cost. Partners with research, engineering, product, and program teams; contributes to technical vision; and mentors engineers while applying emerging AI research in production.

The role involves designing, developing, and supporting AI software components, leveraging various AI technologies, and optimizing performance for large-scale AI systems.

The role involves architecting a scalable AI platform, building distributed compute solutions, optimizing technologies, and mentoring internal talent in AI and ML.

As a Senior Lead AI Engineer, you will develop AI solutions, partner with cross-functional teams, optimize LLM performance, and contribute to the AI vision at Capital One.

Conduct applied research and develop AI foundation models, including large language models and agentic AI systems. Responsibilities span model design, training, evaluation, validation, optimization, deployment, and scaling. The researcher collaborates with data scientists, engineers, and product managers to translate advanced AI research into customer-facing products, deliver platform and solution code, evaluate emerging methods, and independently pursue impactful research agendas.

Leads the Partnerships Customer Management Data Science team, mentoring specialists and owning the strategic roadmap for predictive modeling across credit risk, account usage, and portfolio financials. Oversees end-to-end machine learning model development, validation, and production implementation. Partners with analysts, engineers, and product managers while applying Python, AWS, Spark, H2O, and other technologies to analyze large-scale data and deliver customer-focused business outcomes.

Lead complex, multi-year integration and data migration programs; define large-scale integration strategies; drive application convergence; identify and mitigate technical risks; collaborate across product, engineering, design, and data science; grow TPM practice and mentor TPMs; ensure execution, accountability, and delivery of business impact.

Design, train, evaluate, and deploy large-scale AI foundation models (LLMs, vision, graph, sequential). Collaborate with cross-functional teams to productionize research, optimize training/inference, and translate research into customer-facing products. Drive applied research agenda, publish results, and contribute to platform and tooling.

The Senior Platform Engineer will develop and support Workday solutions, collaborate with various teams, and enhance human resource technologies for Capital One.