AI (Artificial Intelligence) Infrastructure Architect

About the role

We are seeking an AI (Artificial Intelligence) Infrastructure Architect to design, implement, and support Enterprise AI initiatives that support the Laboratory. This role involves working as part of a small, collaborative team responsible for AI infrastructure focused initiatives that will benefit LivIT and the entire Lab.

Responsibilities

• Analyze operational inefficiencies and propose AI-driven solutions.
• Leverage expertise in automation to optimize workflows, monitoring, and configuration management for AI frameworks, tools, and platforms.
• Develop robust AI pipelines and infrastructure that align with organizational goals and business requirements.
• Evaluate and integrate emerging AI technologies and tools in support of infrastructure initiatives, such as MLOps platforms, model optimization frameworks, and other AI services, to enhance infrastructure capabilities.
• Maintain and monitor AI infrastructure performance, identifying bottlenecks and implementing solutions to ensure scalability, reliability, and cost efficiency.
• Collaborate with AI Engineers, Developers, IT Infrastructure and leadership across LivIT and our programmatic customers to drive strategic AI efforts that support innovative needs and operational efficiencies.
• Perform other duties as assigned.

Qualifications

• Ability to obtain and maintain a US DOE Q-level security clearance which requires U.S. Citizenship.
• Bachelor’s degree in Computer Science, Software Engineering, Management Information Systems, or a related field, or an equivalent combination of education and relevant experience.
• Significant experience in Python, R, or other programming languages commonly used in AI development, with a strong understanding of scripting for automation and operational workflows.
• Advanced experience with NLP tools and techniques for automating tasks such as ticket triage, sentiment analysis, or chatbots, with proficiency in libraries such as SpaCy, NLTK, or Hugging Face.
• Hands-on experience with at least three AI or GenAI tools and frameworks, such as OpenAI, Anthropic, Co-Pilot, Amazon Q, Hugging Face, TensorFlow, PyTorch, Bedrock, RAG solutions, or similar technologies.
• Significant experience with at least two automation tools, frameworks, or Infrastructure-as-Code (IaC) platforms, including Ansible, Terraform, Kubernetes, Puppet, Jenkins, or comparable solutions.
• Extensive experience in systems programming to develop, configure, monitor, and automate web applications, cloud services, containers, and COTS infrastructures to ensure high availability and robust security.
• Proven ability to collaborate effectively with customers, IT teams, developers, database administrators, systems administrators, and security professionals to design and deliver containerized infrastructures and services tailored to business objectives.
• Advanced verbal and written communication skills necessary for preparing and delivering presentations, articulating findings and recommendations, and influencing management decisions using data-driven insights.

Pay Range

• $175,530 - $222,564 Annually for the SES.3 level
• $210,630 - $267,060 Annually for the SES.4 level

Additional Information

This is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting; pay will not be below any applicable local minimum wage. An employee’s position within the salary range will be based on several factors including, but not limited to, specific competencies, relevant education, qualifications, certifications, experience, skills, seniority, geographic location, performance, and business or organizational needs.