AI & Data Science Engineer II
About the role
Join our AI & Engineering team in transforming technology platforms, driving innovation, and helping make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and re-engineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation. AI & Engineering leverages cutting‑edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission‑critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements. The team Our AI & Data practice offers comprehensive solutions for designing, developing, and operating advanced Data and AI platforms, products, insights, and services. We help clients innovate, enhance, and manage their data, AI, and analytics capabilities, ensuring they can grow and scale effectively.
Recruiting for this role ends on 10/30/2026.
Responsibilities
- Engage with client stakeholders and sponsors, acting as the primary technical point of contact for your workstream
- Deliver components of client engagements spanning solution design, prototyping, testing, and production rollout
- Lead small teams through business requirements gathering, functional design, process mapping, and support‑model definition, providing technical direction throughout
- Monitor progress against plan, identify variances, and drive corrective action before issues affect delivery
- Identify risks, assumptions, and constraints early, and implement approved mitigations to protect delivery
- Maintain clear, consistent communication with client stakeholders and internal engagement leadership
Skills
- Ability to work independently and collaborate as part of a team
- Effective written and verbal communication skills
- Meticulous attention to detail and quality of work product
- Ability to build and sustain professional relationships
- Ability to lead projects or workstreams
- Ability to manage and prioritize multiple tasks in a fast‑paced and dynamic environment
- Strong interpersonal skills and professional demeanor
- Ability to meet deadlines
- Ability to provide clear guidance to others
Requirements
- 2+ years of professional experience in data science, machine learning, or Generative AI, including developing or prototyping LLM applications using LLM APIs, prompt engineering, RAG, or vector retrieval
- 2+ years of hands‑on experience with Python and SQL across enterprise data, analytics, and machine learning platforms
- 1+ year of experience developing enterprise data products, data models, automated analytics pipelines, and decision‑support solutions for reporting, trend analysis, traceability, or root‑cause analysis
- 1+ year experience leading workstreams or small delivery teams within technology engagements
- Bachelor's degree or higher in Computer Science, Engineering, Data Science, Artificial Intelligence, or a related field
- Ability to travel up to