Description :

BCG is on an ambitious and accelerated AI journey, leveraging the power of Generative AI to radically transform the speed and scale of business delivery and growth. At the heart of this transformation is a commitment to rapidly developing and deploying cutting-edge GenAI solutions that unlock new levels of efficiency and innovation across the enterprise.

This role will drive the development of high impact prioritized Generative AI solutions within the Legal Product Portfolio, accelerating the realization of our ambitious functional AI and GenAI vision.

Key Responsibilities :

- Develop AI/Gen AI projects as individual coding contributors (IC), from ideation to ensuring they deliver impactful insights

- Drive end-to-end design, development & deployment of Gen AI solutions at scale to deliver high-quality outcomes

- Fine-tune large language models (LLMs) to meet specific Generative AI business outcomes

- Extract and analyze data from various sources to inform modeling and solution development.

- Analyze large and complex datasets to extract meaningful trends, patterns, and insights

- Share expertise and perspectives on alternate approaches & tools to improve end solution

- Collaborate closely with data engineers, LLM engineers, Full stack AI engineers, QA, product owners and analysts to create and operationalize data & AI pipelines, ensuring compliance with data governance. security and responsible AI requirements

- Build strong relationships with business stakeholders, ensuring alignment on project goals and successful integration of data-driven insights into business strategies

What You'll Bring :

- AI/ML & LLM engineering skills

- Overall 7+ years of experience in technology, software engineering or data science/ML

- 5+ years of hands-on coding experience in python development

- 2+ years of experience in building Generative AI products at scale

- Demonstrated experience in developing Generative AI based solutions using frameworks (e.g. Langchain, Llamaindex, etc.) to build retrieval augmented generation (RAG), multi-agent-architecture driven solutions

- Highly curious and fast learner who is keenly keeping pace with latest and greatest happening in Gen AI and agentic AI space

- Experience in working with variety of LLM models and fine tuning

- Experience in applying MLOps/LLMOps principles to deploy, monitor models and implement automated CI/CD pipelines

- Experience with LLM evaluation frameworks, guardrails to evaluate and monitor outputs quality, control hallucinations

- Awareness of ethical AI frameworks to ensure responsible AI deployment

- Ability to work iteratively on AI/ML/Gen AI solutions to improve performance over time and in response to user feedback

- Experience in deploying solutions on a cloud platforms AWS (preferred), Azure, GCP

- Experience with microservices & serverless architecture, API development

- An MVP mindset that emphasizes rapid prototyping and continuous improvement.

- Communication, interpersonal and teaming skills

- Excellent communication skills, with the ability to explain complex technical concepts to various audiences

- Experience working in a fast-paced global company, with a diverse team of both technical and functional backgrounds located in multiple time zones

- Proven ability to operate with a transparent mindset, communicating openly with stakeholders at various levels of the organization