Principal Data Scientist - R01556906

Primary Skills

• Agentic AI,Large Language Models (LLMs), andenterprise-grade AI/ML systems. The ideal candidate will lead the design, experimentation, and deployment ofautonomous, multi-agent AI systems leveragingLLMs,knowledge graphs, andreasoning frameworks.

Specialization

• Agentic AI and LLM with framework

Job requirements

• Brillio is the partner of choice for many Fortune 1000 companies seeking to turn disruption into a competitive advantage through innovative digital adoption.  Backed by Bain Capital private equity, and growing at nearly 60% YoY since its inception, Brillio is one of the fastest growing digital technology service providers.  We help clients harness the transformative potential of the four superpowers of technology – cloud computing, internet of things (IoT), artificial intelligence (AI), and mobility.  Born digital in 2014, we apply Customer Experience Solutions, Data Analytics and AI, Digital Infrastructure and Security, and Platform and Product Engineering expertise to help clients quickly innovate for growth, create digital products, build service platforms, and drive smarter, data-driven performance.
• With delivery locations across the United States, Romania, Canada, Mexico, and India, our growing global workforce of over 6,000 Brillians blends the latest technology and design thinking with digital fluency to solve complex business problems and drive competitive differentiation for our clients.  Brillio was awarded ‘Great Place To Work’ in 2021 and 2022.  Learn morewww.Brillio.com
We are seeking a highly accomplishedPrincipal Data Scientist with extensive experience inAgentic AI,Large Language Models (LLMs), andenterprise-grade AI/ML systems. The ideal candidate will lead the design, experimentation, and deployment ofautonomous, multi-agent AI systems leveragingLLMs,knowledge graphs, andreasoning frameworks. This is a strategic and hands-on role at the intersection ofdata science, AI research, and engineering leadership.
Key Responsibilities
• Lead thearchitecture, experimentation, and fine-tuning ofLLMs (e.g., GPT, Claude, Mistral, LLaMA, Falcon) for business-specific applications.
• DriveAgentic AI POCs and production implementations using frameworks such asLangGraph, LangChain, CrewAI, AutoGen, or Semantic Kernel.
• Design and implementmulti-agent systems with human-in-the-loop decision-making, contextual reasoning, and memory management.
• Collaborate with cross-functional AI engineering, data platform, and product teams tooperationalize LLM-based solutions.
• Developfine-tuning and RAG pipelines using open-source and proprietary foundation models.
• Leadresearch and evaluation of emerging AI/LLM technologies for internal innovation and client solutions.
• Mentor data scientists and ML engineers onprompt engineering, model alignment (RLHF/RLAIF), and scalable AI system design.
• Partner with business stakeholders to translate complex business problems intodata-driven, AI-enabled strategies.
• Publish internal whitepapers and driveAI Center of Excellence (CoE) initiatives within the organization.
Required Skills & Experience
• 14–22 years of overall experience with at least4+ years in advanced AI/LLM/GenAI research or engineering.
• Deep expertise inAgentic AI and buildingmulti-agent workflows usingLangGraph, LangChain, AutoGen, CrewAI, or Haystack.
• Strong hands-on programming skills inPython, with working proficiency inR orScala.
• Proven experience withLLM fine-tuning,adapter methods (LoRA, QLoRA, PEFT),RAG pipelines, andvector databases (e.g., Pinecone, FAISS, Weaviate, Milvus).
• Strong understanding oftransformer architectures,tokenization,prompt optimization, andmodel evaluation metrics.
• Experience integratingLLMs with enterprise data systems, APIs, and orchestration pipelines (Databricks, AWS, Azure ML, Vertex AI).
• Demonstrated success leadingPOCs and production-grade implementations inAgentic AI use cases (knowledge assistants, automation, data analysis, etc.).
• Familiarity withdata engineering, MLOps/LLMOps, andcloud-native AI deployment.
• Excellent analytical, communication, and leadership skills with a track record ofmentoring teams and driving innovation.
Preferred Qualifications
• Advanced degree (Ph.D./M.Tech/M.S.) inComputer Science, AI, Machine Learning, Data Science, or a related field.
• Publications, patents, or conference presentations inAI, NLP, or LLM domains.
• Experience inGenerative AI governance,ethics, orAI system reliability.
• Hands-on experience withopen-source LLM frameworks andcustom dataset curation for fine-tuning.