Global IT GenAI Software Engineer Director & Chapter Lead

What You'll Do

BCG is transforming the way our people experience technology through the power of Generative AI. Ava, our IT Support GenAI chatbot, is live and serving over 40,000 BCG users globally, helping employees get IT help faster, smarter, and more intuitively than ever before.

As the Global IT Software Engineer Director – GenAI, you will play a hands-on role in building upon Ava’s success. You will design, develop, and deliver high-impact GenAI solutions that expand Ava’s capabilities and reach. You will serve as the technical counterpart to the Product Owner, accountable for delivery speed, quality, and ensuring alignment between the technical roadmap and product vision. You’ll work across teams to scale Ava’s impact and apply emerging GenAI technologies to improve IT service experiences for BCG’s global workforce.

YOU’RE GOOD AT

1. Taking ownership and driving complex technical solutions from design through delivery.
2. Being hands-on with modern cloud and AI technologies, while maintaining focus on delivery quality and scalability.
3. Collaborating effectively with product managers, engineers, and architecture teams to translate business goals into practical solutions.
4. Balancing speed, quality, and technical depth, ensuring solutions are secure, maintainable, and aligned to roadmap priorities.
5. Staying curious and adaptive, quickly learning new technologies and applying them to enterprise-scale challenges.

What You'll Bring

1. Full-stack engineering expertise with experience in cloud-native application development (AWS preferred).
2. Hands-on experience in building and deploying Generative AI or LLM-based systems at scale.
3. Proficiency in at least two programming languages such as Java, .NET, TypeScript, or Python, along with experience in modern frontend frameworks like React.js or Stencil.
4. Deep understanding of authorization and authentication standards (OAuth) and secure-by-design development practices. Strong awareness of OWASP Top 10 and a proactive approach to identifying and mitigating security vulnerabilities during development.
5. Experience designing and deploying Retrieval-Augmented Generation (RAG) pipelines, working with LLM APIs (AWS Bedrock, OpenAI, Azure OpenAI), and using frameworks like LangChain or LangGraph.
6. Strong knowledge of SDLC principles, CI/CD pipelines, and modern engineering practices.
7. Excellent communication and collaboration skills to partner across engineering, product, and governance teams.
8. Bachelor's degree in computer science, engineering, or related field (or equivalent experience)