Enterprise AI Engineering Leader
3 days ago
About Us
Boston Consulting Group is a leading management consulting firm that pioneered strategy consulting more than 50 years ago.
We offer multiple career paths for the world's best talent to have a real impact on business and society.
As part of our team, you will benefit from the breadth and diversity of what we are doing today and where we are headed next.
We count on your authenticity, exceptional work, and strong integrity. In return, we are committed to supporting you in discovering the most fulfilling career journey possible - and unlocking your potential to advance the world.
Our Global Services Team
Our team called Global Services (GS) provides corporate support to business areas such as Finance, Legal, HR, Marketing, and IT.
This diverse team of experts, operators, and specialists represents all levels from Partner to entry-level staff, operating across the globe in multiple countries.
Global Services is in short, the backbone of BCG.
About the Role
We are seeking a highly skilled and experienced full-stack Software Engineer Expert Senior Manager with Gen AI/LLM expertise to join our Gen AI platform team.
This role focuses on building and maintaining cloud-native platforms specifically designed for Generative AI and Large Language Model (LLM) development.
The ideal candidate will have a strong background in reusable software components, frameworks, microservices, and APIs, cloud infrastructure, and DevOps/MLOps/LLMOps, with a passion for creating scalable, reliable, and efficient systems.
- Key Responsibilities
- Being a great hands-on engineer passionate about building platform capabilities.
- Performing successfully in a fast-paced, multi-cultural, and service-oriented environment.
- Verbal and written communication at a business and technical level.
- High-level initiative, self-motivation, resourcefulness, and collaboration.
- Are passionate, intellectually curious, and enjoy learning new skills and capabilities.
- Building relationships and reliable team player, displaying consideration and respect for others.
- Interpreting rules and guidelines flexibly to enhance the business and aligning with BCG's values and culture.
- Exhibiting ownership and accountability for the squad deliverables.
- Servicing customer teams/platform users with a strong customer centricity.
- Attention to detail, well-organized, able to set priorities and take decisions.
- Being flexible to be available outside of normal business hours for international calls as needed.
Your Colleagues
You will work closely with your Gen AI Platform Engineering chapter in Cloud and Platform Engineering Portfolio Product Owners, Chapter Leads, and other squad members.
Agile Coaches and Scrum Leads will ensure that you adopt agile principles, mindset, and ways of working into your daily routine and who will coach you during the transformation.
About the Requirements
To be successful in this role, you will need:
Experience & Qualifications:
- A Bachelor's degree in computer science engineering (or equivalent degree or experience).
- Proven experience in Gen AI, Artificial Intelligence, Machine Learning, or Natural Language Processing.
- 12+ years of relevant experience in delivering platform or complex technology solutions with a strong technical background, preferably in a global organization/enterprise.
- 2+ years' experience experimenting and developing with LLMs.
- 1+ year of experience developing with LLMs for production use cases.
- 8+ years of experience leading Enterprise scale software engineering/platform engineering teams.
- Passionate expert in Modern Engineering, DevOps practices - Strong understanding of CI/CD, AI/ML pipelines, and automation tools.
- Strong knowledge and experience in Generative AI/LLM based development.
- Strong knowledge and experience in building conversational agent-based UX.
- Strong experience working with key LLM models APIs (e.g., AWS Bedrock, Azure Open AI/OpenAI) and LLM Frameworks (e.g., LangChain, LlamaIndex).
- Experience with multi-agent frameworks and an understanding of multi-agent systems and their applications in complex, multi-step problem-solving scenarios.
- Expertise in building enterprise-grade, secure data ingestion pipelines for unstructured data – including indexing, search, and advanced retrieval patterns.
- Proficiency in generating and working with text embeddings with understanding of embedding spaces and their applications in semantic search and information retrieval.
- Knowledge and experience in building knowledge graphs in production.
- Experience with RAG concepts and fundamentals (VectorDBs, AWS OpenSearch, semantic search, etc.), expertise in implementing RAG systems that combine knowledge bases with Generative AI models.
- Proficiency in Python, TypeScript, NodeJS, ReactJS (and equivalent) and all associated GenAI libraries and frameworks.
- Experience with containerization and orchestration technologies (Kubernetes, Docker).
About Benefits and Compensation
We offer a competitive salary package, benefits, and opportunities for professional growth and development.
We strive to provide a collaborative, inclusive, and dynamic work environment.
We believe in recognizing and rewarding individual performance and contributions.
We provide equal opportunities 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.
We are an E-Verify Employer and comply with all relevant employment laws and regulations.
Earning Potential: $175,000 - $250,000 per year
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