Senior Enterprise AI Architect

PRI Technology; Charlotte (NC); On-site; USD 140,000 - 180,000; Full time

Job summary

PRI Technology is seeking a proactive senior architect who can drive enterprise architecture with minimal supervision, blending strategic thinking with hands-on coding in Python to validate architectural choices and build proofs of concept for AI and cloud initiatives.

The candidate will translate business requirements into scalable technical solutions, design AI and AWS-based architectures, and clearly communicate decisions to technical teams and leadership.

Qualifications

• Extensive experience as an Enterprise Architect, Solutions Architect, AI Architect, or similar senior-level architecture professional.
• Ability to take initiative and independently manage complex technical projects.
• Experience evaluating, integrating, testing, and validating AI or machine-learning models.
• Ability to build proofs of concept and technical experiments using working code.
• Deep enterprise architecture expertise, including the ability to design solutions for real-world business use cases.
• Strong AWS or cloud architecture experience.
• Ability to discuss architecture decisions, tradeoffs, security, scalability, reliability, and implementation considerations in detail.
• Experience connecting applications or enterprise platforms to AI models and services.
• Strong communication skills with the ability to present technical findings and recommendations clearly.

Responsibilities

• Independently lead enterprise architecture initiatives with minimal supervision.
• Translate business requirements and real-world use cases into scalable technical solutions.
• Design enterprise AI and cloud architectures with a strong focus on AWS.
• Write and review Python code to validate architecture decisions and technical approaches.
• Connect to AI models and services through APIs, SDKs, and related integration frameworks.
• Evaluate and compare AI models based on accuracy, performance, reliability, cost, scalability, and business requirements.
• Develop tests, experiments, and proofs of concept to demonstrate why one model or solution is better suited than another.
• Validate AI solutions through working code, measurable results, and technical evidence.
• Identify architectural risks, tradeoffs, dependencies, and integration challenges.
• Clearly explain architecture decisions to technical teams, business stakeholders, and senior leadership.
• Provide technical direction while remaining directly involved in solution validation and experimentation.

Skills

Enterprise Architecture

Solutions Architecture

AI Architect

Python coding

AWS

Cloud architecture

API integration

Model evaluation

Independent management

Communication skills

Job description

Alternative Location: New Jersey may be considered for exceptional candidates

The ideal candidate is proactive, technically credible, and capable of managing projects with minimal supervision. Approximately 30% of the role will involve hands-on coding, primarily using Python to evaluate solutions, validate architectural approaches, and build proofs of concept. A senior, independent architect who combines strategic thinking with hands-on technical capability. This person should be able to move beyond research and conceptual diagrams by writing Python code, testing AI models, validating assumptions, and presenting evidence-based recommendations.

Candidates whose experience is limited primarily to strategy, governance, documentation, or high-level design without meaningful hands-on coding and technical validation may not be a fit for this position.

Daily tasks:

• Independently lead enterprise architecture initiatives with minimal supervision.
• Translate business requirements and real-world use cases into scalable technical solutions.
• Design enterprise AI and cloud architectures with a strong focus on AWS.
• Write and review Python code to validate architecture decisions and technical approaches.
• Connect to AI models and services through APIs, SDKs, and related integration frameworks.
• Evaluate and compare AI models based on accuracy, performance, reliability, cost, scalability, and business requirements.
• Develop tests, experiments, and proofs of concept to demonstrate why one model or solution is better suited than another.
• Validate AI solutions through working code, measurable results, and technical evidence.
• Identify architectural risks, tradeoffs, dependencies, and integration challenges.
• Clearly explain architecture decisions to technical teams, business stakeholders, and senior leadership.
• Provide technical direction while remaining directly involved in solution validation and experimentation.

Required Qualifications

• Extensive experience as an Enterprise Architect, Solutions Architect, AI Architect, or similar senior-level architecture professional.
• Demonstrated ability to take initiative and independently manage complex technical projects.
• Experience evaluating, integrating, testing, and validating AI or machine-learning models.
• Ability to build proofs of concept and technical experiments using working code.
• Deep enterprise architecture expertise, including the ability to design solutions for real-world business use cases.
• Strong AWS or cloud architecture experience.
• Ability to discuss architecture decisions, tradeoffs, security, scalability, reliability, and implementation considerations in detail.
• Experience connecting applications or enterprise platforms to AI models and services.
• Strong communication skills with the ability to present technical findings and recommendations clearly.