Lead Engineer jobs in Boston, MA

Lead the architecture and delivery of major technical initiatives for the [R]AIMS platform, improving scalability, reliability, performance, and engineering quality across edge and cloud deployments. Mentor engineers, establish reusable engineering patterns, collaborate on AI/ML integration, and represent Raft’s technical capabilities to customers and program stakeholders.

Lead the architecture and hands-on development of scalable Salesforce solutions across Sales Cloud, Service Cloud, CPQ, and Conga CLM, taking complex implementations from requirements through production. Establish engineering standards, review designs and code, mentor engineers, collaborate across business and technical teams, and address platform risks, technical debt, reliability, and data quality.

The Lead Engineer will drive the adoption of agentic platforms and intelligent automation across North American Wealth, translating strategic objectives into scalable, production-ready capabilities. They will lead cross-functional initiatives, establish engineering standards, and mentor teams to deliver secure, reliable AI-enabled solutions.

Lead and develop a high-performing team building and optimizing data, training, and evaluation pipelines and tools for perception machine learning. Set team priorities and technical direction, contribute production code, guide design and code reviews, and collaborate with ML engineers to improve end-to-end development workflows.

The Lead Software Engineer will define the technical roadmap for CI/CD pipelines and infrastructure automation to improve developer productivity. They will drive architectural vision, establish engineering standards, and oversee the operational health of deployment systems across the organization.

Lead the team building the Customer Agent conversational AI system, overseeing technical direction and roadmap strategy. Manage a team of managers and engineers while collaborating with cross-functional leaders to deliver scalable AI-driven customer engagement solutions.

Architect and scale the core orchestration platform while driving the technical vision for AI-driven agentic workflows. Lead the adoption of AI-native development practices and partner with cross-functional teams to shape long-term platform architecture.

Develop inspection plans, interpret engineering drawings and customer requirements, and prepare or review first article, in-process, and final inspection records. Investigate quality issues, track and validate corrective actions using objective evidence, coordinate read-across, and support audits and customer quality requirements.

Lead the AV Behavior Understanding and Evaluation team to define standards for safe and assertive autonomous driving. Drive the design, evaluation, and scaling of system behaviors using data-driven insights from simulation and real-world testing.

Provide senior technical leadership for Analytics Engineering, shaping data foundations, modeling standards, architecture, governance, quality, tooling, and developer experience. Build trusted canonical datasets, semantic layers, and AI-enabled analytical tools that support self-service analytics and improve decision-making across the company.

Own canonical data models and KPI definitions for payments, billing, subscriptions, identity, and Trust & Safety across Scribd, Everand, and Fable. Improve data quality, observability, and lineage; build AI tools on certified data; and set technical standards while influencing partners and mentoring colleagues.

Lead the technical design, development, and deployment of mobile applications while serving as a client-facing solution architect. Manage day-to-day execution across distributed engineering teams in the US, India, and Mexico.

The Principal Engineer Team Lead will own the development and validation of safety-critical functions and performance benchmarks for autonomous robotaxis. This role involves leading a high-performing team to deliver systems engineering evidence, such as hazard analysis and safety case documentation, to support commercial launch.

The Lead Solutions Engineer will drive the sales process by providing technical product expertise, designing tailored solutions, and delivering compelling demonstrations. They will collaborate with cross-functional teams to understand customer requirements and advocate for data-driven insights to transform client businesses.

The QA Lead Engineer will design, develop, and maintain scalable automated UI and API test frameworks for web applications. They will also mentor junior engineers and integrate automated test suites into CI/CD pipelines to ensure high-quality software delivery.

The Technical Area Lead will define the technical strategy and architecture for legal operations, overseeing the implementation of AI, data, and automation solutions. They will lead cross-functional teams to ensure legal technology programs align with the firm's risk, compliance, and commercial objectives.