Top Engineering Jobs in Boston, MA

The Mechanical Engineering Technician will oversee the machine and assembly shop, assist in prototyping parts, create fixtures, and ensure shop organization and maintenance.

Lead and oversee multiple multidisciplinary teams to architect, develop, deploy, monitor, and maintain full-stack AI solutions (including LLM integrations). Provide strategic and technical leadership, drive experimentation and CI/CD practices, ensure quality and stakeholder alignment, promote innovation, and mentor senior and junior team members to deliver business-aligned AI outcomes.

Develop, test, and validate Generative AI agents and data pipelines with automated testing and governance controls. Analyze complex problems, produce actionable insights, mentor junior associates, and collaborate with multidisciplinary teams to deliver AI-enabled client solutions while upholding professional standards and documentation.

Provide regulatory compliance guidance and cybersecurity risk management to clients. Conduct compliance risk assessments and audits, implement frameworks (ISO/IEC 27001, NIST CSF), develop compliance programs, analyze data for insights, lead training on AML and financial crime prevention, and build client relationships while upholding professional standards.

Lead a team that builds and operates SDLC tooling and AI-enabled developer infrastructure. Own delivery, reliability, adoption, reporting, audit automation, sensitive-data protections, and governance for LLMs and agentic tooling. Partner with Architecture, Security, Privacy, and Engineering Excellence to translate standards into workflows, measure outcomes, and enable developer training and documentation. Hire, coach, and manage DevOps engineers, tooling admins, and developers to drive measurable engineering productivity improvements.

The Platform Engineering Product Director will lead enterprise integration strategy and middleware platforms, focusing on scalability, performance, and integration solutions across various business functions, while mentoring teams and managing vendor relationships.

The Director of R&D Mechanical Engineering at SharkNinja will lead the engineering team, shape R&D strategy, drive innovation, and champion technical excellence across multiple product development programs.

The Data Engineer will design and build data solutions, develop ELT jobs, ensure data quality, and collaborate with technical teams to align data strategies with business goals.

Lead and grow an AI engineering organization building foundation-model training and LLM-powered production systems. Own design, deployment, optimization, evaluation, governance, and observability of scalable AI platforms; make build-vs-buy decisions across open source and SaaS AI technologies; drive technical vision and mentor engineering teams to deliver responsible, high-performance AI capabilities.

Work on production-scale observability and security systems across backend, frontend, infrastructure, and data engineering. Design, build, and optimize distributed, cloud-native services; tackle performance, reliability, and scalability challenges; and deliver end-to-end technical projects while collaborating with mentors and peers.

Lead a small engineering team owning identity & access architecture and roadmap (SSO/OIDC/SAML, SCIM, multi-tenant isolation, authorization) across Tulip's multi-cloud environment. Stay hands-on in design and code, enforce automated tests and runbooks, partner with Security, Infrastructure, Product and Customer Success, and drive adoption of AI tooling in the SDLC to accelerate safe, reliable delivery.

Join TekniPlex's talent community to stay connected for future opportunities across various fields, contributing to innovative material solutions.

The Strategic Technology Analyst focuses on long-term technology research and strategic insights for Analog Devices' Technology Strategy Board, emphasizing technology sensing and horizon scanning. This role will involve deep technical analysis, collaboration with various teams, and active engagement with external research partners to identify and evaluate emerging technologies.

Lead and grow a Targeted Collection Engineering team to design, build, and operate scalable data collection and warehousing systems. Own a managed attribution browser, set technical strategy, partner with product and cross-functional teams, and ensure data reliability, security, and scale for national security customers.

Leads and develops a data engineering team supporting People Analytics and AI-assisted workforce analytics. Designs scalable data models, pipelines, semantic layers, testing frameworks, and governance practices. Remains hands-on with production code, reviews, and technical problem-solving while partnering with People Analytics, business, legal, and compliance stakeholders. Establishes engineering standards across Python, SQL, dbt, Airflow, Snowflake, CI/CD, data quality, observability, privacy, and security.

Lead and execute SharkNinja's AI integration across the engineering lifecycle: build unified engineering data infrastructure, deploy AI-powered tooling for design, testing, reliability, and program management, embed AI Fellows into teams, drive change management and adoption, and deliver measurable outcomes tied to faster, higher-quality product development.

Lead and scale Sales Engineering teams in North America, defining strategies and collaborating with global stakeholders to drive technical sales success.

Co-op supporting early-stage product development by generating user-centered concepts, building and testing rapid prototypes, running design studies and user tests, and iterating designs with cross-functional teams. Emphasis on mechanical design, ergonomics, materials, and feasibility from concept through prototyping.

Design, build, and operate foundational platform services to improve availability, scalability, latency, and efficiency. Enable product teams via platform primitives (infra, databases, queuing), leverage Python, Go, AWS, Kubernetes, and Terraform, and mentor engineers to deliver resilient, scalable systems and improved developer experience.

Leads the Insurance Product Configuration and Enrollment Platform Core, managing engineering managers and 20–30 engineers. Owns technical vision, distributed systems architecture, delivery commitments, operational excellence, testing strategy, partner implementations, and cross-team interfaces. Develops engineering leaders, manages hiring and vendors, and drives adoption of AI-augmented development tools and practices. Ensures scalable, secure, reliable platform services while balancing contractual delivery dates with long-term platform maintainability.

Lead and mentor a team of Data Engineers to deliver scalable customer-focused data solutions. Provide hands-on technical ownership, set architectural and engineering standards, advance AI-enabled development practices, and collaborate cross-functionally to improve data foundations, reporting, and delivery.

Lead and scale global security engineering across application, AI, cloud, corporate, SecOps, and red team domains. Define secure architecture and governance, drive automated threat detection and AI security, personally perform adversarial testing, coordinate incident response and regulatory readiness, and report security posture to executives while building a high-performing team.

Design and deliver blockchain network infrastructure and platform APIs, lead multi-quarter initiatives (chain integrations, re-architecture, data migrations), define APIs/SLOs/observability and on-call ownership, ship SDKs and platform primitives, establish data contracts, and simplify cross-chain operations to enable analytics, ML, and data engineering teams.

Manage a high-performing software engineering team, driving product roadmap and technical direction, while ensuring quality, performance, and innovation.

Owns global Forward Deployed Engineering program governance, including modernization deal scoping, LOE calculators, SOPs, pre-sales to post-sales handoffs, SOW inputs, and enablement programs. The role coordinates Solution Engineering, Professional Services, Partners, Sales, and Product Management while improving processes, maintaining scoping frameworks, supporting customer-facing sales calls, and using delivery feedback to optimize operations.