Senior Artificial Intelligence Engineer

Summary

Join Rackspace Technology's expanding team as a Machine Learning Architect, contributing to the development of cutting-edge AI/ML solutions for diverse clients. This role blends professional services and hands-on engineering, requiring strategic thinking, technical expertise, and strong communication skills. You will design and execute ML projects from concept to production deployment on GCP, collaborating closely with customers to define requirements and deliver measurable business value. The ideal candidate possesses a Master's degree (10+ years experience) or PhD (6+ years experience) in a relevant field, extensive experience in ML architecture and GCP, and proficiency in Python and various ML frameworks. Success in this position demands strong problem-solving abilities, leadership skills, and the capacity to explain complex technical concepts effectively.

Requirements

• Masters with 10+ years of experience or PhD with 6+ years of experience in Machine Learning, Natural Language Processing (NLP) and Deep Learning
• Minimum 5+ years of experience architecting and building Machine Learning solutions
• Minimum 5+ years of experience with GCP cloud
• Experience building ML models and strong knowledge of ML techniques is required
• Experience with hugging face, TensorFlow/pytorch, transformer architectures, prompt engineering, agentic systems, LLMs
• Strong coding experience in Python and architectural patterns like microservices
• Solid understanding of agile methodologies and experience in planning machine learning projects from inception to production deployment
• Strong problem-solving skills and the ability to lead a team on “what’s next” when encountering a technical issue in a machine learning project
• Excellent communication and presentation skills, with the ability to explain complex technical concepts to both technical and non-technical audiences
• Travel as per business requirements
• Candidate must be legally able to work for any employer in the US
• This role is not sponsorship eligible

Responsibilities

• Design machine learning solutions and execute machine learning projects end to end from proof-of-concept stage to deployment in production using cloud native technologies and state of the art machine learning models
• Be technically focused but work directly with the business representatives/customers to understand the requirements driving the need for a solution to be developed
• Be responsible for all phases of the project from problem definition, data annotation, model development, model deployment to end user documentation/training
• Design the architecture of ML solutions on GCP cloud platforms including MLOPs
• Stay abreast of the latest developments. Read the latest published machine learning research and adapt the models to solve customer’s problems
• Establish credibility by demonstrating technical excellence and delivering value through solutions you build. Develop strong relationships with our customers

Benefits

• The anticipated starting pay range for Colorado is: $128,300 - 188,210
• The anticipated starting pay range for the states of Hawaii and New York (not including NYC) is: $136,600 - 200,310
• The anticipated starting pay range for California, New York City and Washington is: $149,500 - 219,230
• Unless already included in the posted pay range and based on eligibility, the role may include variable compensation in the form of bonus, commissions, or other discretionary payments
• Work Location: Remote