Full-Stack Engineer Senior Manager,...

Who We Are

Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact.

To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures—and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive.

What You'll Do

As the Technical Lead for SDLC platform engineering and automation, you will define the technical direction for an enterprise AI platform that transforms the software development lifecycle through intelligent automation. Working in close partnership with Product Management and engineering leaders, you will design scalable AI capabilities — including integrations across the Atlassian ecosystem (Jira, Confluence, Forge, Atlas, Automation) and modern practices such as the Model Context Protocol (MCP), event-driven architectures, and retrieval-augmented workflows — that improve developer productivity, accelerate software delivery, and strengthen engineering quality across the organization.

You will serve as the technical authority for AI architecture, establishing engineering standards, guiding implementation decisions, and mentoring engineers while driving the evolution from event-driven AI capabilities toward increasingly autonomous, multi-agent systems. You will lead architecture reviews, evaluate emerging AI technologies, and ensure platforms are secure, resilient, observable, and aligned with enterprise architecture, governance, and Responsible AI principles — balancing innovation with enterprise-grade reliability and operational excellence

What You'll Bring

• Bachelor's degree in Computer Science, Software Engineering, Artificial Intelligence, or a related discipline (must have); relevant AI or cloud certifications are a plus
• 8+ years of software engineering experience, including demonstrated technical leadership designing and delivering enterprise-scale software platforms (must have).
• Demonstrated expertise in enterprise AI, Generative AI, and intelligent agent architectures, with experience building secure, scalable, production-ready AI solutions (must have).
• Strong knowledge of software architecture, cloud-native engineering, distributed systems, API-first design, and event-driven architectures across Azure and AWS; experience with OpenAI, Azure OpenAI, Anthropic, Gemini, MCP, and orchestration frameworks such as LangGraph or Semantic Kernel
• Experience integrating modern engineering platforms and DevSecOps ecosystems, including Atlassian products (Jira, Confluence, Forge, Atlas, Automation) and CI/CD pipelines; proven ability to influence technical direction and mentor engineers (preferred).

Who You'll Work With

You will work as part of a multidisciplinary engineering organization focused on transforming the software development lifecycle through AI-driven automation. You'll partner closely with Product Management, Platform Engineering, Software Engineering, Enterprise Architecture, Security, and DevSecOps teams to design and deliver scalable AI capabilities, and will engage regularly with engineering leaders, architects, and technical specialists to establish standards, evolve platform capabilities, and drive adoption of modern AI engineering practices.

Additional info

You are expected to work from a BCG office or in person with clients on a regular basis (typically around 50% of working time), depending on business needs and in line with local policies and practices. We aim to provide a dynamic and collaborative environment that fosters connection and teamwork.