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About the Role
This role focuses on building, deploying, and scaling Generative AI chatbots and AI assistants to enhance employee access to information and task completion. It involves developing RAG-enabled applications and Agentic AI workflows to automate processes and improve conversational AI performance.
Responsibilities
- Build, deploy, and scale GenAI chatbots and AI assistants across the organization.
- 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, operational efficiency, and business performance.
Requirements
- Bachelor’s degree or equivalent related work or military experience.
- 1 year of experience in data science or applied AI, with a focus 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.
- Bachelor’s degree in Computer Science, Statistics, Mathematics, Engineering, Economics, or any related quantitative discipline.
- A Master’s or PhD in Computer Science, AI, Data Science, or a related quantitative field.
- 3+ year of experience in Data Science, Applied AI, Machine Learning, Generative AI, or a related technical field.
- Experience building and deploying enterprise-scale LLM-powered chatbots, copilots, virtual assistants, or AI agents.
- Experience using Python and relevant AI/ML libraries and frameworks to develop data science or AI solutions.
- Familiarity with Retrieval-Augmented Generation (RAG) and connecting LLMs to enterprise documents, databases, knowledge repositories, or other internal data sources.
- Familiarity with Agentic AI concepts, including tool calling, API integration, workflow orchestration, and multi-step AI workflows.
- Understanding of machine learning and AI concepts, including model development, testing, evaluation, and deployment.
- Virtual backgrounds or headphones / earbuds are not permitted during web-based interviews.
- A minimum of one onsite, in person interview will be required as part of the application process.
Skills
- Generative AI
- Agentic AI
- LLM-powered applications
- Python
- R
- SQL
- SAS
- Spark
- Java
- AI techniques
- Machine learning algorithms
- Supervised learning
- Unsupervised learning
- Retrieval-Augmented Generation (RAG)
- Agentic AI concepts
- Tool calling
- API integration
- Workflow orchestration
- Multi-step AI workflows
- Model development
- Model testing
- Model evaluation
- Model deployment
- Prompt engineering
- Retrieval strategies
- Response optimization
- AI guardrails
- Monitoring
- Governance
Experience Level
- 1 year of experience in data science or applied AI
- 3+ year of experience in Data Science, Applied AI, Machine Learning, Generative AI, or a related technical field
Education Level
- Bachelor’s degree or equivalent related work or military experience
- Bachelor’s degree in Computer Science, Statistics, Mathematics, Engineering, Economics, or any related quantitative discipline
- Master’s or PhD in Computer Science, AI, Data Science, or a related quantitative field
Benefits
- Competitive compensation package
- Full health insurance benefits available on day one
- Life and disability insurance
- Earn up to 15 days of PTO over your first year
- 9 paid company holidays
- 401(k) option with company match
- Education assistance
- Opportunity to participate in a company incentive plan
About the Company
- XPO is a top ten global provider of transportation services, with a highly integrated network of people, technology and physical assets.
- At XPO, we look for employees who like a challenge and can communicate effectively in all situations.
- We want to leverage your skills and years of experience to drive positive results while ensuring a bright future for yourself and XPO.
- If you’re looking for a growth opportunity, join us at XPO.
Equal Opportunity
- We are proud to be an Equal Opportunity employer.
- Qualified applicants will receive consideration for employment without regard to race, sex, disability, veteran or other protected status.