Director of Engineering jobs in Boston, MA

The Associate Director will own the Code Archaeology methodology, including discovery domains and the correlation of technical evidence. They will also manage the archaeology asset portfolio and serve as the primary technical voice for the discipline in client and market engagements.

Lead the engineering organization responsible for consumer websites and apps across multiple brands and international markets, setting the technical strategy and platform direction in partnership with Product, Design, and brand leaders. Develop managers and senior engineers, oversee quality and reliability, manage budgets and delivery partners, and drive consumer growth through SEO, experimentation, and AI-enabled experiences.

Lead and develop a team of data engineers while setting the technical direction and roadmap for the company's data platform. Partner with cross-functional teams to design and deliver scalable, well-governed data pipelines that support clinical operations and advanced analytics.

Build and operate the shared Agentic Core and interface for Bain’s AI product suite, including agent orchestration, retrieval and knowledge pipelines, enterprise integrations, and production-grade AI services. Improve reliability, quality, security, and performance through evaluation, observability, responsible AI practices, and close collaboration with consulting teams and senior stakeholders.

The Director will lead the design, development, and modernization of AWS-native applications while setting strategic technical direction for the practice. They will oversee multiple workstreams, cultivate client relationships, and drive business development efforts through AI-enabled engineering approaches.

The Director of Embedded Engineering will lead the team responsible for the electronics and firmware of Bevi's connected beverage machines. This role involves setting the embedded architecture, managing the engineering team, and partnering with cross-functional departments to ensure product reliability and scalability.

Assess clients’ marketing technology environments and translate business needs into product direction, requirements, roadmaps, business cases, and future-state solutions. Guide AI and automation adoption, governance, operating-model and change planning, and implementation alignment while building client capabilities and supporting new business.

Provide specialized career coaching and technical job search strategies for engineering and innovation students. Manage a team of Assistant Directors and cultivate strategic partnerships with engineering firms and defense contractors to create hiring pipelines.

The Director of Platform Engineering will define the firm's platform architecture and lead modernization efforts to ensure scalability, agility, and resilience. They will mentor engineering teams and drive the standardization of shared frameworks and architectural building blocks across the organization.

Lead and mentor a team of platform engineers while architecting scalable, high-performance infrastructure for the Eclipse platform. Drive the adoption of AI-driven software development practices and collaborate with cross-functional teams to ensure platform reliability and security.

The Managing Director will lead the GTS technology process mapping strategy, defining standards and governance to improve operational transparency and control effectiveness. They will also manage a global team to analyze, redesign, and optimize end-to-end technology processes while partnering with senior leadership to drive organizational change.

The Director of Financial Engineering leads research and development of systematic trading platforms, execution strategies, and analytical frameworks to enhance performance and reduce transaction costs. They collaborate with cross-functional teams to integrate real-time data, optimize execution algorithms, and explore decentralized finance (DeFi) capabilities.

Lead and mentor a team of automation experts to develop and implement an end-to-end RNA automation strategy across multiple scientific disciplines. Partner with scientists to design, build, and deploy integrated automation platforms that enhance data reproducibility and support AI/ML-driven drug development.