Enterprise AI Systems Architect: Scale & Modernize Legacy

Jobtailor; Hanover (MD); On-site; USD 180,000 - 240,000; Full time

Job summary

Jobtailor is seeking an accomplished AI architect to lead architecture and modernization initiatives across enterprise AI systems. You will define technical direction, build agentic LLM-based applications, and mentor engineering teams to deliver scalable, secure cloud-native solutions.

The role focuses on large-scale AI platforms, DevSecOps practices, and collaboration with executive leadership to drive innovation and system performance.

Qualifications

• Bachelor's degree in Computer Science, Information Technology, or related field; minimum 15 years of software engineering experience or equivalent
• Deep expertise in distributed systems and large-scale architecture
• Experience delivering production-grade AI/ML systems at scale
• Experience building agentic systems or complex LLM-based applications
• Experience modernizing large, complex legacy systems
• Strong programming expertise in Python, Java, or similar
• Deep experience with APIs, microservices, and event-driven architectures
• Experience with cloud platforms, CI/CD, and DevOps practices
• Preferred expertise in healthcare technology ecosystems, AWS, Azure, GCP, AI at Scale, full-stack software engineering, and secure cloud-native architectures
• Hands-on experience with Generative AI, Large Language Models, and modern AI development frameworks and tooling
• Knowledge of cloud infrastructure, IAM, encryption, network security, and cloud security best practices
• Experience driving DevSecOps adoption through automation, CI/CD optimization, infrastructure as code, and secure software delivery
• Ability to influence cross-functional teams and partner with executive and senior leadership
• Candidates must be within a reasonable commuting distance of a posting location unless an accommodation is granted
• Position is not eligible for current or future VISA sponsorship

Responsibilities

• Architect and deliver scalable, resilient AI solutions using agentic systems, LLMs, distributed systems, and event-driven architectures
• Define enterprise-wide technical direction, architecture patterns, integration standards, and reusable platform capabilities
• Lead AI-driven modernization of legacy systems through automated code transformation, service decomposition, and continuous optimization
• Design and implement AI-enabled software development lifecycle practices to improve engineering velocity and quality
• Establish technical standards, governance frameworks, monitoring, evaluation, and responsible AI best practices
• Partner with engineering teams and stakeholders to drive adoption of AI-assisted development and improve system performance and productivity
• Provide technical leadership and mentorship while influencing enterprise technology decisions
• Lead the design, development, and deployment of large-scale, production-grade AI systems and platforms enabling enterprise-wide innovation and modernization

Skills

Distributed systems

Large-scale architecture

Python programming

APIs

Microservices

Event-driven architectures

DevSecOps

Cloud platforms

Generative AI/LLMs

Technical leadership

Mentorship

Cross-functional collaboration

Education

Bachelor's degree in CS/IT or related

Tools

Cloud infrastructure

IAM

Network security

Infrastructure as Code

Job description

Jobtailor is seeking an accomplished AI architect to lead architecture and modernization initiatives across enterprise AI systems. You will define technical direction, build agentic LLM-based applications, and mentor engineering teams to deliver scalable, secure cloud-native solutions.

The role focuses on large-scale AI platforms, DevSecOps practices, and collaboration with executive leadership to drive innovation and system performance.