Global IT Software Engineer Senior Manager

Overview

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.

Responsibilities

BCG is looking for a Global IT Software Engineer Senior Manager to contribute to the development, deployment, and optimization of cutting-edge Generative AI (GenAI) tools and IT solutions. In this role, you will work closely with cross-functional teams, bringing technical expertise and hands-on problem-solving to ensure the successful delivery of innovative and scalable software solutions that support BCG’s business objectives.

• Leading the implementation and optimization of GenAI applications and IT tools to enhance productivity and operational efficiency.
• Collaborate with Product Owners, Tribe Leaders, and other stakeholders to align technology solutions with business requirements.
• Administer and configure AI-powered SaaS tools, ensuring secure deployment and smooth integration across the organization.
• Identify opportunities for enhancements to enterprise AI tools, focusing on improving efficiency and user satisfaction.
• Support proof-of-concept (POC) projects to explore and validate innovative technologies and solutions.
• Continuously assess and optimize software architecture, focusing on scalability, reliability, and alignment with emerging trends.
• Document designs, development processes, and best practices to promote knowledge sharing and operational efficiency.
• Stay updated on emerging technologies such as LLMs, APIs, and cloud-based solutions, applying these innovations to drive impactful outcomes.

You're Good At

• Driving the adoption and optimization of SaaS tools and AI-driven applications to meet organizational needs.
• Solving technical challenges and developing scalable, innovative solutions.
• Applying Change Management disciplines to ensure successful technology rollouts.
• Proactively identifying and implementing automation capabilities to reduce manual effort and errors.
• Collaborating effectively with diverse stakeholders, including technical teams and business leaders.
• Adapting to fast-paced environments and evolving priorities with high energy and autonomy.
• Leveraging expertise in GenAI, SaaS integrations, cloud technologies, and security to deliver impactful solutions.

Experience & Skills

• Previous experience building a user-facing GenAI/LLM software application.
• Previous experience with vectors and embeddings (pgvector, chromadb).
• Knowledge of LLM RAG/Agent core concepts and fundamentals.
• Experience with Neo4J, GraphQL for efficient data querying for APIs.
• CI/CD tools (e.g. Github Actions, Gitlab CI) for automating deployments.
• Other AWS Managed Services (RDS, Batch, Lambda, Fargate, Step Functions, SQS/SNS, etc.).
• FastAPI and NextJS experience (if we’re still using the latter).
• Websockets, Server-Side Events, Pub/Sub (RabbitMQ, Kafka, etc.).

Qualifications

• A bachelor’s degree in Computer Science, Engineering, or a related field. Advanced degrees are a plus.
• 6-8 years of professional experience in software development or IT operations, with increasing responsibility.
• Proven experience in implementing AI-driven applications and SaaS (multi-tenant) solutions.
• Strong technical proficiency in both frontend and backend development (e.g., React, Python, Java, Typescript).
• Proven experience with systems design, design patterns, architectural trade-offs, and integration best practices.
• Proven experience with automated testing frameworks (e.g. Zypher, Pytest).
• Experience with cloud technologies, cloud native application and infrastructure as code (e.g., AWS/Azure/CGP, Kubernetes, Helm, Terraform).
• Knowledge of DevOps culture and practices.

Key skills/competency

• Generative AI (GenAI)
• Large Language Models (LLMs)
• SaaS Solutions
• Cloud Technologies (AWS)
• Software Architecture
• DevOps Practices
• CI/CD Pipelines
• Data Querying (Neo4J, GraphQL)
• Frontend Development
• Backend Development