Senior GenAI and Data Architect for Enterprise AI

Credera; Chicago (IL); Hybrid; USD 160,000 - 205,000; Full time

Benefits offered by this job

Health, vision, dental, and life insurance

401(k) matching

Paid parental leave

Community service days

14 paid holidays

Job summary

A global consulting firm in Chicago is seeking an experienced Senior GenAI and LLM Architect to lead project-based teams. You will analyze large data sets using advanced AI and machine learning techniques. Candidates should have over 8 years of experience in AI/ML architecture, a Master's degree or PhD in a relevant field, and proficiency in programming languages such as Python. The position allows for hybrid work, with flexibility to work remotely several days a week.

Qualifications

• 8+ years of proven experience in the architecture, design, and implementation of large scale and enterprise grade AI/ML solutions.
• Strong experience with a variety of ML and AI techniques.
• Proficient in programming languages such as Python and tools like TensorFlow and PyTorch.

Responsibilities

• Act as the primary architect and technical lead on projects.
• Participate in design sessions and provision environments.
• Coach and lead junior resources on projects.

Skills

AI/ML architecture experience

Statistical modeling

Programming in Python

NLP fundamentals

Database knowledge

Data visualization

Leadership skills

Problem-solving

Education

Master’s degree in statistics, mathematics, computer science or related field

Tools

TensorFlow

PyTorch

Hugging Face Transformers

Spark

Tableau

Job description

A global consulting firm in Chicago is seeking an experienced Senior GenAI and LLM Architect to lead project-based teams. You will analyze large data sets using advanced AI and machine learning techniques. Candidates should have over 8 years of experience in AI/ML architecture, a Master's degree or PhD in a relevant field, and proficiency in programming languages such as Python. The position allows for hybrid work, with flexibility to work remotely several days a week.