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

Design, develop, and deploy future-ready digital products using modern tools and technologies such as Python, AWS/Azure cloud platforms, Generative AI, and OpenAI APIs.Develop and deploy back-end APIs and microservices to enable seamless integration and consumption by enterprise systems or products.Deploy and manage solutions on cloud platforms (AWS or Azure) by implementing CI/CD pipelines and version control workflows using DevOps tools (e.g., GitHub Actions, Jenkins, Octopus) and containerization tools (e.g., Docker, Kubernetes).Lead and conduct hands-on Proof of Concepts (PoCs) to implement innovative ideas using custom development, low-code/no-code (LC/NC) tools, existing enterprise SaaS tools, new 3rd-party tools in the market, or a combination of these.Address knowledge management and content management use cases, including content retrieval, search, summarization, classification, content curation, and reporting.Explore advancements in new tools, technologies, frameworks, and 3rd-party tools/libraries for continuous improvement.Collaborate on and contribute to backend development and configuration engineering chapters to ensure seamless integration with enterprise systems and support scalability.Work in a dynamic environment, adapting to priorities and delivering solutions across diverse use cases, including but not limited to Generative AI and backend systems.

What You'll Bring

Proven 7+ years of experience delivering solutions using programming languages such as Python, with hands-on Java development experience given high priority.2+ years of hands-on experience in Python development, preferably in building backend microservices, with expertise in Python libraries for AI, data analysis, and content processing.Hands-on experience integrating with enterprise-level REST APIs for production use.Preferred experience with additional languages and frameworks such as TypeScript, ReactJS, HTML, and JavaScript.Strong experience in publishing and deploying back-end APIs/microservices to enable seamless integration and consumption by other enterprise systems or products.Hands-on experience with relational databases (e.g., SQL) and NoSQL databases (e.g., ElasticSearch, DynamoDB). Knowledge of vector databases (e.g., Pinecone) is preferred for embedding-based AI solutions.Proficiency in cloud platforms such as AWS or Azure, particularly foundational AI/ML services.Good understanding of text embeddings, semantic search, and advanced data retrieval strategies.Familiarity with DevOps tools such as GitHub, GitHub Actions, Jenkins, Octopus, and containerization tools (e.g., Docker, Kubernetes) for implementing CI/CD pipelines.Experience in designing and building secure, scalable, and enterprise-grade solutions, including but not limited to Generative AI.

Preferred Skills:

Experience with Azure Cloud Platform, including Azure Storage, Azure Cognitive Search, Azure OpenAI, and other Azure services.Knowledge of backend frameworks and tools for microservice-based architecture.Experience with low-code/no-code tools such as Microsoft Power Automate, Azure Logic Apps, or Microsoft Co-Pilot Studio for rapid application development.Familiarity with integrating REST APIs for enterprise applications, including APIs for Large Language Models (LLMs) such as OpenAI GPT-4, GPT-3.5, Gemini, or similar technologies.Knowledge of Gen AI Agent frameworks (e.g., LangChain, AutoGPT, BabyAGI, or similar).Understanding of Knowledge Management and Content Management domains, including best practices for content retrieval, search, and reporting.Ability to evaluate and compare 3rd-party tools and libraries to identify optimal solutions for both AI and non-AI use cases.

Who You'll Work With

Collaborate with a team of software engineers, solution architects, chapter leads, DevOps engineers, and data scientists to deliver innovative solutions across multiple domains.Partner with Scrum Leads and Agile Coaches to ensure adherence to agile methodologies and best practices.Work closely with product owners and business stakeholders to understand requirements, solve challenges, and deliver products aligned with organizational themes and goals.Collaborate with other portfolios and Centers of Excellence (CoEs) to implement and share best practices aligned with global IT goals.Contribute to a fast-paced, innovative environment focused on building scalable, modern engineering solutions, including but not limited to Generative AI.

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.\n
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