Senior GenAI Scientist: LLM & AI Solutions

XPO; Boston (MA); On-site; USD 120,000 - 160,000; Full time

Benefits offered by this job

Full health insurance on day one

PTO up to 15 days/year

Company holidays

401(k) with company match

Education assistance

Incentive plan

Job summary

XPO is seeking a Senior Data Scientist to design and deploy GenAI-based solutions across the enterprise, connecting LLMs to internal data sources and systems. The role emphasizes building scalable AI components, governance, and collaboration with multiple teams to drive business outcomes.

Ideal candidates have strong AI fundamentals, practical ML deployment experience, and the ability to translate tech concepts into actionable business insights within a fast-paced environment.

Qualifications

• Bachelor’s degree or equivalent related work or military experience.
• 2 years of experience in data science or applied AI, focusing on Generative AI, Agentic AI, or LLM-powered applications
• Strong communication skills with the ability to translate complex AI capabilities into clear business use cases and recommendations
• Experience in at least one programming language such as Python, R, SQL, SAS, Spark, Java, etc., with practical applications in AI or ML projects
• Familiarity with AI techniques and machine learning algorithms, including supervised and unsupervised learning
• Strong communication skills with a knack for translating complex AI concepts into clear business insights

Responsibilities

• Build, deploy, and scale GenAI chatbots and AI assistants across the organization to improve access to information and complete business tasks
• Develop RAG-enabled applications that securely connect LLMs with enterprise documents, databases, and internal knowledge sources
• Build Agentic AI workflows that use tools, APIs, and enterprise systems to automate multi-step processes
• Improve conversational AI performance through prompt engineering, retrieval strategies, model evaluation, and response optimization
• Help implement AI guardrails, monitoring, and governance to ensure solutions are accurate, secure, scalable, and reliable
• Integrate GenAI solutions with enterprise applications, data platforms, and internal systems
• Partner with Engineering, Product, Cybersecurity, and business teams to move solutions from proof of concept through production deployment
• Research emerging GenAI, LLM, RAG, and Agentic AI technologies and identify new opportunities to improve productivity and business performance

Skills

Strong communication

Programming languages

AI/ML techniques

GenAI/LLM experience

RAG concepts

Agentic AI concepts

Model development/testing/deployment

Education

Bachelor's degree or equivalent

Master's or PhD in related field

Tools

Python libraries for AI/ML

APIs integration

LLM deployment tools

Job description

XPO is seeking a Senior Data Scientist to design and deploy GenAI-based solutions across the enterprise, connecting LLMs to internal data sources and systems. The role emphasizes building scalable AI components, governance, and collaboration with multiple teams to drive business outcomes.

Ideal candidates have strong AI fundamentals, practical ML deployment experience, and the ability to translate tech concepts into actionable business insights within a fast-paced environment.