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Global IT LLM Engineer Director & Chapter Lead

Blackwomenintech
Boston, Massachusetts, US
Full-time

WHAT YOU'LL DO

Do you have the skills to fill this role Read the complete details below, and make your application today.

To realize our aspirations to build a Gen AI assistant that will transform the way BCG works, we are looking for an LLM Engineering Director who is passionate about designing, developing, and optimizing GenAI products.

You will work as a Squad Leader in your domain of expertise, helping to advance the work and using your experience to maximize Squad performance.

You will also be committed to maintaining and developing your own expertise and knowledge to ensure that you and your Chapter members bring the latest thinking to your roles.

You will bring expertise in full-stack development, performance, and stability of custom-built products. This role is involved in all aspects of LLM-based applications including LLM expertise, data science / ML, backend development including API and core functional logic.

Work would also involve documentation of all designs and development. It would be required to attend and lead any needed agile ceremonies and demo / present the development work incrementally.

Among your responsibilities, you will :

Continuously develop Chapter expertise :

Maintaining best-in-class Chapter expertise and resources in order to deliver the right knowledge and skills to Squads.

Staying abreast of relevant developments and innovations in domain area, both internally and externally.

Maintaining your own technical knowledge through learning and continuous improvement.

Develop Chapter members and the Chapter as a whole :

Overseeing, providing feedback, and developing Chapter members to help improve domain knowledge and better serve the Squads in which they work.

Discussing Chapter development progress and opportunities with the Tech Area Lead.

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 :

Advancing the work of the Squad based on items in the backlog and priorities set by the Product Owner.

Sharing expertise with Squad members and working cross-functionally to advance the work of the Squad.

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.

Being passionate, intellectually curious, and enjoying learning new skills and capabilities.

Bringing 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 data science and engineering skills.

Delivering as an engineer on the features you own by yourself.

YOU BRING (EXPERIENCE & QUALIFICATIONS)

BA degree in Computer Science, Statistics, or related field with a focus on Artificial Intelligence, Machine Learning, or Natural Language Processing.

At least 10 years of working experience, ideally 2+ years of experience developing and experimenting with LLMs and 6+ years of experience developing AI / ML technologies within large and business-critical applications.

Experience & Skills (Mandatory)

Proficiency in Python and all associated DS libraries and frameworks.

Strong knowledge in AI, machine learning, and natural language processing.

Experience with leveraging, training, and fine-tuning Foundation Models, including multimodal inputs and outputs.

Strong experience working with key LLM models APIs (e.g., OpenAI, Anthropic) and LLM Frameworks (e.g., LangChain, LlamaIndex).

Experience with multi-agent frameworks / systems and an understanding of multi-agent systems and their applications in complex problem-solving scenarios.

Experience with unstructured.io or similar libraries for handling various document formats and extracting structured information from unstructured data.

Expertise in using LlamaIndex for building and querying knowledge bases, including its data connectors, indexing strategies, and query engines.

Knowledge of effective text chunking techniques for optimal processing and indexing of large documents or datasets.

Proficiency in generating and working with text embeddings using models like BERT, GPT, or domain-specific embedding models.

Understanding of embedding spaces and their applications in semantic search and information retrieval.

Experience in constructing and querying knowledge graphs, including technologies like Neo4j or RDF triplestores. Understanding of ontology design and graph-based reasoning.

Experience with RAG concepts and fundamentals (vectorDBs, semantic search, etc.), expertise in implementing RAG systems that combine knowledge bases with generative AI models.

Experience & Skills (Nice to have)

Experience with cloud infrastructure for AI / ML.

Experience with LLM guardrails.

Experience with LLM monitoring and observability.

Experience with security related to LLM integration.

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 manage 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.

WHO WE ARE

BCG pioneered strategy consulting more than 50 years ago, and we continue to innovate and redefine the industry. 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 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 represent all levels from Partner to entry-level staff, operating across the globe in multiple countries.

Global Services is, in short, the backbone of BCG.

EQUAL OPPORTUNITY

BCG is an Equal Employment Opportunity employer and is committed to a policy of administering all employment decisions and actions without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations.

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3 days ago
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