AI Solutions Architect

T12 Technologies • Washington, DC

4h • Remote

About The Position

T12 Technologies is seeking a Senior AI Solutions Architect to lead the design and deployment of enterprise-grade AI and large language model (LLM) solutions. This is a hands-on architecture role for a senior consultant who has taken multiple AI systems from concept to production at enterprise scale and can translate complex business requirements into robust, secure, and maintainable technical designs. The Architect will provide technical direction across the engagement and partner with implementation engineers, business analysts, and project leadership to deliver measurable outcomes.

Requirements

• Bachelor’s Degree in Computer Science, Engineering, Data Science, or a related field.
• Minimum 5 years of experience architecting and deploying enterprise AI solutions, with demonstrated production LLM deployment experience.
• Proven track record taking AI systems from concept to production at enterprise scale.
• Experience providing technical direction to multidisciplinary delivery teams.
• Deep understanding of LLM application patterns, including retrieval-augmented generation (RAG), fine-tuning, prompt engineering, and evaluation.
• Strong grasp of data architecture, integration patterns, and cloud infrastructure.
• Ability to design secure, scalable AI systems within enterprise environments.
• Excellent communication skills, with the ability to present technical concepts to executive and non-technical audiences.

Nice To Haves

• Master’s Degree in a relevant field is preferred.
• Experience integrating AI solutions with enterprise ERP platforms.
• Familiarity with AI governance, model risk management, and compliance frameworks.
• Prior consulting or client-facing delivery experience.

Responsibilities

• Design end-to-end architectures for enterprise AI and LLM-based solutions, including data pipelines, model integration, orchestration, and deployment patterns.
• Define technical standards, guardrails, and best practices for AI implementation across the engagement.
• Evaluate and select models, frameworks, and tooling appropriate to business and compliance requirements.
• Lead architecture reviews and provide technical direction to implementation engineers and integration teams.
• Partner with business stakeholders to align AI capabilities with measurable business outcomes.
• Address scalability, security, cost, and governance considerations throughout the solution lifecycle.

Benefits

• 401(k)
• Competitive salary
• Paid time off
• Continuous education
• Training
• Career advancement opportunities
• Flexible work from home options

What This Job Offers

• Job Type: Full-time
• Career Level: Senior