Locations: Boston | Atlanta

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

WHAT YOU’LL DO

To realize our aspirations of building world-class GenAI-enabled solutions that transform the way we work, we are seeking a Global IT Software Engineer Director & Chapter Lead. This senior leadership role combines expertise in full-stack software engineering, advanced AI/ML systems (including LLMs), and strategic team leadership.

As a Chapter Lead, you will oversee the development of cutting-edge AI-driven applications, ensuring seamless integration, performance, and innovation while advancing your own technical expertise and that of your Chapter. You will balance hands-on contributions with strategic oversight, guiding your team to excel in the design, implementation, and scaling of GenAI solutions. This role requires a deep understanding of backend and frontend systems, SaaS integrations, and AI/ML product optimization.

Among your responsibilities, you will:

• Continuously develop Chapter expertise
• Maintain best-in-class Chapter expertise in full-stack software development and GenAI/LLM technologies, ensuring alignment with BCG’s IT strategy.
• Stay abreast of developments in GenAI frameworks, LLM techniques, and scalable system architectures, enabling your Chapter to leverage the latest tools and innovations.
• Continuously enhance technical proficiency in frontend (React, Typescript) and backend (Python, Java) development, alongside expertise in cloud platforms (AWS) and containerized deployments (Kubernetes/EKS)
• Develop Chapter members and the Chapter as a whole
• Provide mentorship and coaching to Chapter members, enabling their growth in areas like full-stack application development, LLM integration, and cloud-native architecture design.
• Facilitate training and skill-building opportunities to address resource gaps, ensuring the Chapter remains future-ready for emerging technologies.
• Collaborate with the Tech Area Lead to establish clear development goals for Chapter members and foster a culture of continuous improvement and innovation.
• Share knowledge and expertise within and outside of the Chapter
• Ensuring the “how” of the work performed by Chapter members is aligned with established technical roadmaps and guardrails to drive strategy.
• Sharing relevant insights and developments within area of expertise with Chapter members and related Chapters.
• Actively sharing knowledge and expertise across the organization with other Chapters.
• Identify resource needs throughout the organization
• Engaging Product Owners, Tribe Leads, and Tech Area Leads to allocate Chapter members and ensure Squads have proper technical resourcing and functional expertise.
• Identifying expertise and resource gaps and training or hiring the talent needed to
  address them.
• Work in a Squad to realize its mission
• Provide mentorship and coaching to Chapter members, enabling their growth in areas like full-stack application development, LLM integration, and cloud-native architecture design.
• Facilitate training and skill-building opportunities to address resource gaps, ensuring the Chapter remains future-ready for emerging technologies.
• Collaborate with the Tech Area Lead to establish clear development goals for Chapter members and foster a culture of continuous improvement and innovation.
• Enable the organization’s new way of working
• Modelling behaviors to support the organization’s transformation to a new way of working.
• Actively creating and maintaining a positive culture within the Chapter based on Agile leadership behaviors.

YOU’RE GOOD AT

• Being a great hands-on engineer and mentoring other team members.
• Inspiring and motivating your team.
• Comfortable with both planning and execution.
• Influencing and being a technical thought partner with Product Owners and other ITCLs.
• Committing to cross-functional collaboration to achieve the best results for the organization.
• Enjoying coaching and developing people to improve their performance, knowledge and expertise.
• Are passionate, intellectually curious, and enjoy learning new skills and capabilities.
• Bring a data-driven approach to decision-making and problem-solving, both in day-to-day management and in making strategic trade-offs.
• Capability to think and work at a systems level, combining architecture design, backend and frontend engineering, and seamless integration with data pipelines and AI systems.
• Delivering as an engineer on end-to-end features across the full stack, ensuring seamless integration of frontend, backend, and infrastructure components

What You’ll Bring

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field.
• At least 10-12+ years of relevant experience, ideally in full-stack software engineering, with a proven track record of delivering scalable and secure enterprise applications.

Experience & Skills (Mandatory)

• Expertise in Python for backend development, API design, and seamless integration with AI/ML frameworks.
• Strong proficiency in frontend technologies, such as React and Typescript, with a focus on creating responsive, user-friendly interfaces.
• Proven experience with cloud-native architectures and tools like Terraform for infrastructure automation and Kubernetes (EKS) for container orchestration.
• Comprehensive knowledge of AWS services, including Lambda, S3, RDS, Step Functions, and VPC, for designing and managing scalable solutions.
• Hands-on experience building multi-tenant SaaS applications, implementing tiered permission models, and handling data-sharing frameworks.
• Strong understanding of CI/CD pipelines, Git workflows, and tools like Jenkins to ensure efficient and automated deployment processes.
• Solid experience implementing monitoring, observability, and self-healing mechanisms to maintain system reliability and optimize performance.
• Familiarity with design patterns, OOP principles, and API design standards (e.g., OpenAPI).
• Proven ability to mentor and lead engineering teams, fostering collaboration and innovation in an Agile environment.
• Hands-on experience with Websockets, Server-Side Events, and pub/sub systems (e.g., RabbitMQ, Kafka).

Experience & Skills (Nice to have)

• Experience integrating GenAI/LLM frameworks like LangChain or LlamaIndex into full-stack applications.
• Knowledge of RAG (Retrieval-Augmented Generation) concepts, embeddings, and their application in scalable AI solutions.
• Proficiency in advanced querying systems like GraphQL and managing knowledge graphs (e.g., Neo4j).

Who You’ll Work With

• Your AI Engineering team, by setting their direction, establishing objectives and key results, working on the staffing and development of your chapter, and ensuring that you maximize outputs and working products.
• Tribe Leaders, Product Owners and other Tribe Chapter Leads with whom you shall work to manager chapter resources and ensure a positive collaboration.
• Agile Coaches and Scrum Masters, that will ensure that you adopt agile principles, mindset and ways of working into your daily routine and who will coach you during the transformation.
• Squad members of a specific squad, led by a Product Owner.

Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws.
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