GenAI Software Engineering Director
New Today
BCG Risk has been on a Generative AI journey to transform internal operations powered through cutting edge Generative AI technologies are core to this journey. Thus, we are looking for Generative AI engineers who are passionate about designing, developing, deploying and optimizing Gen AI products at scale.
This role will be hosted in Risk and Compliance digital products team to support building key prioritized Generative AI solutions.
What You'll Do
You will work as a squad member with strong hands on Gen AI expertise and will guide the product owners, digital leaders in conceptualizing new Gen AI products or embedding Gen AI as part of existing products in most optimum manner. You will be an hands on contributor to develop the Gen AI products along with broader squad members as well as managing other Gen AI/LLM engineers or data scientists developing Gen AI applications.
Along with core Generative AI expertise, you will bring expertise in full backend development in technologies like python, typescript including REST, GraphQL etc. APIs development, core functional logic, performance, and stability of custom-built products.
Key Responsibilities
Conceptualize Generative AI custom products at BCG internally & operate as a technical thought partner for digital leaders and product owners.
Combine data science & engineering expertise in building Generative AI products
Develop Gen AI products to develop scalable high performance enterprise products along with broader squad
Share expertise and recommendations on alternate approaches & tools to improve product
Collaborate closely with data engineers, data scientists, software engineers, QA, product owners and analysts develop seamless end to end integrated products
Build strong relationships with business stakeholders, ensuring alignment on project goals and successful integration of products into business processes
Oversee & mentor other LLM/AI engineers, data scientists in the project on Gen AI expertise
Share Gen AI knowledge & expertise across with broader digital teams squads, chapters, CoEs
Regularly ramp up on latest LLMs, technologies, frameworks & platforms in the Gen AI space
What You'll Bring
Overall 9+ years of experience in engineering, machine learning & LLMs
6+ years of hands‑on experience in building & deploying AI/ML/Gen AI solutions in large business critical applications
2+ years of experience in developing Gen AI products using variety of LLMs & frameworks
1+ years of experience leading a team.
Advanced proficiency in Python for data science, engineering & LLMs
Highly curious technically to evaluate & test new technologies in Gen AI space
Proven ability to work with large structured & unstructured datasets and deploy AI/ML/Gen AI solutions through automated pipelines
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)
Proficiency in generating and working with embeddings across variety of data formats. Understanding of embedding spaces and their applications in semantic search and information retrieval.
Knowledge of effective text chunking techniques for optimal processing and indexing of large documents or datasets.
Expertise with RAG concepts and fundamentals (vectorDBs, semanticsearch, re‑rankers etc.), Expertise in implementing RAG systems that combine knowledge bases
Experience with multi‑agent frameworks/systems and an understanding of multi‑agent systems and their applications in complex problem‑solving scenarios
Experience in working with variety of data bases (SQL, no SQL), APIs & microservices development
Experience with LLMOps tools (e.g. Langsmith) to implement guardrails, track accuracy, hallucinations, bias and other metrics in Gen AI products
Experience in constructing and querying knowledge graphs including graph‑based reasoning.
Experience in front end development technologies (e.g. REACT) would be good to have
Excellent communication skills, with the ability to explain complex technical concepts to various audiences
Proven ability to operate with a transparent mindset, communicating openly with stakeholders at various levels of the organization
Who You'll Work With
As a pivotal member of the team, you will interact extensively with a diverse range of stakeholders from across the functions both geographically and functionally.
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- Location:
- Greater London
- Job Type:
- FullTime