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Boston Consulting Group

Global strategy and transformation consulting firm

Global AI/ML Engineer Manager

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeNo salary listed

About the Job

Requirements

  • A Bachelor of Arts degree in Computer Science, Statistics, or a related field, with a focus on Artificial Intelligence, Machine Learning, or Natural Language Processing.
  • At least 2 years of experience developing and experimenting with large language models.
  • At least 3 years of experience developing AI and machine learning technologies within large, business-critical applications.
  • Proficiency in Python and associated data science libraries and frameworks.
  • Strong knowledge of artificial intelligence, machine learning, and natural language processing.
  • Experience leveraging, training, and fine-tuning foundation models, including multimodal inputs and outputs.
  • Strong experience working with large language model APIs such as OpenAI and Anthropic, and frameworks such as LangChain and LlamaIndex.
  • Experience with multi-agent frameworks and systems, and understanding of their applications in complex problem-solving scenarios.
  • Experience with unstructured.io or similar libraries for handling document formats and extracting structured information from unstructured data.
  • Expertise using LlamaIndex to build and query knowledge bases, including data connectors, indexing strategies, and query engines.
  • Knowledge of text chunking techniques for processing and indexing large documents or datasets.
  • Proficiency generating and working with text embeddings using models such as BERT, GPT, or domain-specific embedding models, and understanding embedding spaces and their applications in semantic search and information retrieval.
  • Experience constructing and querying knowledge graphs, including technologies such as Neo4j or RDF triple stores, and understanding ontology design and graph-based reasoning.
  • Experience with retrieval-augmented generation concepts and fundamentals, including vector databases and semantic search, and expertise implementing systems that combine knowledge bases with generative AI models.

Responsibilities

  • Design, develop, and optimize generative AI products.
  • Work within the LLM Squad and with the Squad Leader in the relevant domain, using experience to maximize squad performance.
  • Contribute across LLM-based applications, including large language models, data science and machine learning, backend development, APIs, and core functional logic.
  • Document designs and development.
  • Keep technical skills and knowledge current with industry trends and innovations, and stay informed about tools, methods, and technologies that serve the team.
  • Contribute knowledge within the team and related teams, ensuring alignment with technical roadmaps and guidelines.
  • Bring domain expertise to discussions and help guide technical direction and best practices.
  • Advance squad tasks according to priorities set by the product owner and collaborate cross-functionally to achieve the squad's mission and goals.
  • Identify where technical expertise is needed and suggest ways to fill gaps through personal contributions, training, or advocating for additional resources.
  • Embrace and support the organization's working models, including Agile practices, and contribute to the team's working culture.
  • Work mostly from a BCG office, with occasional work at other BCG offices; generally work from an office or in person with clients around 50% of the time, depending on business needs and local policies.

Desired Qualifications

  • Experience with cloud infrastructure for artificial intelligence and machine learning.
  • Experience with large language model guardrails.
  • Experience with large language model monitoring and observability.
  • Experience with security related to large language model integration.

About the Company

Boston Consulting Group

Global strategy and transformation consulting firm

BCG provides global management consulting, advising leaders in strategy and transformation across industries, with expertise in M&A, operations, pricing, sustainability, and AI. BCG X builds AI solutions, digital products, and new ventures by combining engineers, data scientists, designers, and venture builders for clients. Specialist units Inverto, Platinion, and Quantis support procurement, IT architecture, and sustainability, while the BCG Henderson Institute supplies research. The goal is to help clients achieve lasting performance improvements and durable value through strategic advisory plus hands-on technology execution.

Company size
10,001+
Company stage
Not listed
Total funding
Not listed
Headquarters
Boston, MA
Founded
1963

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