Distinguished Engineer

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

• 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

Requirements

• Bachelor's degree in Computer Science, Information Technology, or related field and a minimum of 15 years of experience in software engineering, or an equivalent combination of education and experience


• 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


• Experience delivering high-quality 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

Core Competencies

Demonstrates expertise in architecting and delivering scalable AI solutions, with a strong focus on distributed systems, large-scale architecture, and AI-driven modernization of legacy systems. Proficient in leading technical direction and implementing best practices for AI-enabled software development and DevSecOps.

Highest-signal resume keywords

• AI/ML Systems Delivery


• Distributed Systems Expertise


• Python Programming


• Cloud Platforms (AWS, Azure, GCP)


• Generative AI and LLMs

ATS Optimization Keywords

Hard Skills

• Software Engineering


• Large-Scale Architecture


• APIs


• Microservices


• Event-Driven Architectures


• CI/CD


• DevOps Practices


• Infrastructure as Code


• Automated Code Transformation


• Service Decomposition

Soft Skills

• Technical Leadership


• Mentorship


• Influencing Cross-Functional Teams


• Collaboration with Executive Leadership

Industry Keywords

• Healthcare Technology Ecosystems


• AI at Scale


• Secure Cloud-Native Architectures

Tools & Technologies

• Cloud Infrastructure


• IAM


• Network Security


• Cloud Security Best Practices


• Modern AI Development Frameworks