AI Solutions Architect in Baltimore

Energy Jobline
Baltimore, MD, United States
6 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours

Tech stack

Artificial Intelligence Cloud Computing Collaborative Software Data Architecture Systems Integration Large Language Models Prompt Engineering Information Technology Data Pipelines

Job description

T12 Technologies is seeking a Senior AI Solutions Architect to lead the design and deployment of enterprise-grade AI and large 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., Solution Architecture & Design

  • 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.

Technical Leadership

  • 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.

Requirements

Education

  • Bachelor’s Degree in Computer Science, Engineering, Data Science, or a related field.

  • Master’s Degree in a relevant field is .

Experience

  • 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.

Skills & Competencies

  • Deep understanding of LLM application patterns, including retrieval-augmented (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.

Qualifications

  • 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.

Working Conditions

  • Remote position with approximately one on-site visit per quarter; travel expenses reimbursed separately.

  • Must be able to participate in regular virtual collaboration across distributed project teams.

  • Must be able to meet deadlines and reporting cadences established by project leadership.

About the company

T12 Technologies LLC is a professional development company prioritizing employee growth by providing continuous education, training, and career advancement opportunities. We cultivate a supportive environment that fosters a collaborative work culture, allowing employees to contribute ideas and engage in impactful projects. By joining our team, you’ll be part of an initiative dedicated to delivering high-quality services and support, making a meaningful difference in public safety and international security efforts.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.energyjobline.com

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

8:43 min

Extrapolating data collection methods and cloud architecture data pipelines

Becky Gandillon · LIVE

6:08 min

Applying software engineering environments and testing to data pipelines

Matthias Niehoff Matthias Niehoff · WWC 2024

2:27 min

Introduction to WebAssembly in a cloud computing context

Edo Edo · WWC 2024

1:34 min

Transitioning from traditional software development to artificial intelligence consulting

Patrick Schnell Patrick Schnell · Coffee With Developers

47 sec

Building modern data pipelines for legacy exports

Dr. Alexander Wachtel Dr. Alexander Wachtel +1 · WWC 2025

2:54 min

Mapping AI integration across the software development lifecycle

Mike Mike · WWC 2025

Videos

See all

Related articles

See all