AI Solutions Architect

Job Description

This role is for a AI Solutions Architect. The candidate needs to have strong experience with AI solutions and Google Cloud Platform (GCP).The position is remote but has to be within the vicinity of the below mentioned Cox locations. If the candidate is based out of Atlanta, GA then the candidate has to be in office 2 days a week. For other locations the candidate will work fully remote and would only be required to come to office if there something which needs onsite support.&

Georgia: Macon, Atlanta.&

The position is a contract to hire opportunity. There will be 2 rounds of interviews. 1st with the HM and 2nd will be a panel interview with the team.&

Job Summary

We are seeking a Principal Platform Architect to join our AI Product Management team, responsible for transforming AI and ML capabilities into tangible business value. This individual will lead AI and ML solution definition and ideation, ensuring that the solutions chosen are scalable, effective, and aligned with the organization’s broader technical and business goals. The Principal Platform Architect will guide teams in identifying optimized architectures and value, while safeguarding against point solutions unless necessary.

Key Responsibilities

Solution Definition Architecture: Provide platform, functional, technical, and architectural expertise for AI/ML solutions, ensuring they are scalable, effective, and aligned with business objectives.

Vendor and Product Recommendations: Stay informed about advancements in AI, ML, and related technologies, particularly focusing on AI/ML vendors like Google and their products (e.g., GCP, Google Vertex). Make informed recommendations regarding platforms, products, and models that best fit the solution requirements.

Strategy Roadmap: Contribute to the development of the AI/ML strategy, roadmap, and functional architecture with a deep understanding of available products and solutions.

Cross-functional Collaboration: Partner with business, engineering, product, and other technical stakeholders to develop and deliver cohesive AI/ML solutions that drive business value.

Stakeholder Communication: Communicate complex technical concepts and solutions to both technical and non-technical audiences, creating documentation that translates solutions into business outcomes.

Proofs of Concept Viability Testing: Partner with other stakeholders to create and test proofs of concept, ensuring that new solutions or designs are viable and aligned with business goals.

Curate Technology Portfolio: Help curate the overall AI/ML technology portfolio, working with the AI Center of Excellence (COE) and other teams to ensure the selection of the right tools, platforms, and models.

Technology Ecosystem Development: Drive the creation of a purposeful ecosystem for AI and ML applications, ensuring interoperability and synergy between platforms, models, and technologies.

Required Qualifications

Education:

Bachelor’s degree and 8+ years of experience in product/platform architecture roles, or

Master’s degree and 6+ years of experience in product/platform architecture roles, or

Ph.D. and 3+ years of experience in product/platform architecture roles.

Experience:

Minimum of 5 years of experience working with AI and/or ML platforms.

Proven experience in defining and implementing scalable AI and ML solutions.

Technical Expertise:

Deep knowledge of AI and ML technologies, platforms, and tools (particularly Google Cloud Platform (GCP), Vertex AI, etc.).

Demonstrated experience in managing and recommending AI/ML technology stacks and vendors.

Preferred Qualifications

Experience with leading-edge AI/ML products, solutions, and methodologies.

Hands-on experience in designing and developing AI/ML models and solutions.

Competencies

Problem-Solving: Demonstrated ability to tackle complex challenges with innovative technical solutions.

Prioritization Time Management: Ability to manage multiple priorities and deliverables effectively in a fast-paced, dynamic environment.

Communication Skills: Strong written and verbal communication skills, capable of conveying complex technical information to diverse audiences.

Collaboration: A collaborative mindset with the ability to work across teams to drive business value through AI/ML initiatives.

Innovation: A bias towards finding and implementing innovative solutions that solve business challenges.

Education: Bachelors Degree

Hybrid remote