AI/ML Architect (RapidScale)

Company

Cox Communications, Inc.

Job Family Group

Engineering / Product Development

Job Profile

Lead Cloud Architect

Management Level

Manager - Non People Leader

Flexible Work Option

Can work remotely anywhere in the specified country

Travel %

Yes, 15% of the time

Work Shift

Day

Compensation

Compensation includes a base salary of $131,600.00 - $219,400.00. The base salary may vary within the anticipated base pay range based on factors such as the ultimate location of the position and the selected candidate’s knowledge, skills, and abilities. Position may be eligible for additional compensation that may include an incentive program.

Job Description

At RapidScale, we believe that exceptional technology is driven by exceptional humans. As a rapidly growing leader in providing innovative and secure managed cloud solutions, we’re part of the Cox family of businesses, known for best-in-class benefits, work-life balance, and an award-winning workplace culture. Join us as we build the future of cloud-native software development and application modernization.

We are seeking a visionary AI/ML Architect to lead our AI/ML initiatives and drive transformational outcomes for our clients. This high-impact role requires deep expertise in AI, machine learning (ML), and Generative AI (GenAI), along with a proven ability to lead teams and deliver innovative solutions. As an architect, you will shape strategy, guide architecture, and work hands-on during critical build phases. You’ll also mentor team members and engage directly with clients, using your technical and business acumen to influence outcomes and foster trust.

What You’ll Do:

Architecture & Delivery

• Serve as a hands-on architect, designing scalable AI/ML solutions and providing technical leadership across projects.

• Lead the design, implementation, and governance of AI/ML architectures, ensuring alignment with industry best practices, scalability, security, and compliance standards; establish and enforce architectural guidelines, standards, and processes to drive consistent and efficient development across teams.

• Oversee the full lifecycle of AI/ML solutions, including discovery, proof of concept (PoC), deployment, and optimization.

• Collaborate with cloud architecture and engineering teams to deliver integrated AI/ML solutions within larger transformation initiatives.

Client Engagement

• Partner with sales teams as a technical expert during pre-sales activities, including presentations and proposal development.

• Conduct in-depth discovery sessions to understand client requirements, define technical solutions, and articulate business value.

• Act as a trusted advisor and subject matter expert (SME) for client stakeholders, providing thought leadership and best practices.

Thought Leadership

• Stay at the forefront of AI/ML trends, evaluating new technologies and contributing to the organization’s technical knowledge base.

• Represent RapidScale at industry events and conferences, establishing a market presence for the AI/ML practice.

What You Bring:

Minimum Qualifications

• Bachelor’s degree and 6 years’ experience in Software Architect/Engineer roles OR a Master’s degree and 4 years’ experience Software Architect/Engineer roles OR a Ph.D. and 1 years’ experience in Software Architect/Engineer roles OR 10 years’ experience in Software Architect/Engineer roles.

• Demonstrated expertise in machine learning, deep learning, and Generative AI, with hands-on experience building and deploying models at scale.

• Strong programming skills in Python and SQL, with experience in additional languages (e.g., Java, C++, R).

• Proficiency with cloud platforms (AWS, Azure, or Google Cloud) and AI/ML tools such as SageMaker, TensorFlow, PyTorch, or equivalent.

• Deep understanding of data modeling, ETL processes, and both structured and unstructured data management.

• Experience mentoring teams of architects and engineers.

Preferred Qualifications

• Experience working in a consulting or professional services capacity, with a track record of delivering client-facing solutions.

• Hands-on experience with containerization (e.g., Kubernetes, Docker) and CI/CD pipelines.

• Familiarity with migrating monolithic architectures to microservices or designing cloud-native solutions.

• Expertise in DevOps and automation frameworks, including Terraform and CloudFormation.

• Knowledge of advanced AI/ML techniques, such as NLP,