Distinguished Engineer

Jobtailor; Kentucky; On-site; USD 180,000 - 240,000; Full time

Job summary

Jobtailor seeks an experienced Senior AI Architect to lead design, development, and deployment of large-scale AI systems. You will drive enterprise architectural direction using agentic systems, LLMs, and event-driven architectures while modernizing legacy software and establishing governance for responsible AI.

The role requires deep distributed-systems expertise, strong programming in Python/Java, and proven leadership to mentor teams and influence enterprise decisions.

Qualifications

• Bachelor’s degree in Computer Science, Information Technology, or related field; and a minimum of 15 years in software engineering or an equivalent background.
• 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.
• Experience with CI/CD and DevOps practices.
• Must be within reasonable commuting distance from a posting location unless an accommodation is granted as required by law.
• Not eligible for current or future visa sponsorship.

Responsibilities

• Lead the design, development, and deployment of large-scale, production-grade AI systems and platforms.
• Architect scalable 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 and service decomposition.
• Design and implement AI-enabled software development lifecycle practices.
• Establish technical standards, governance, monitoring, evaluation, and responsible-AI best practices.
• Partner with engineering teams to enable adoption of AI-assisted development.
• Drive continuous improvement in system performance and productivity.
• Provide technical leadership and mentorship.
• Influence enterprise technology decisions through deep expertise and hands-on engineering.

Skills

AI/ML Systems Delivery

Distributed Systems

Python Programming

Cloud Platform Experience

CI/CD & DevOps

APIs & Microservices

Event-Driven Architectures

Leadership & Mentorship

Legacy Modernization

Education

Bachelor’s degree in Computer Science or related field

Tools

Cloud Platforms

CI/CD Tools

DevOps Tools

Job description

• Lead the design, development, and deployment of large-scale, production-grade AI systems and platforms


• Architect and deliver scalable, resilient AI solutions using agentic systems, large language models, 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


• Establish technical standards, governance frameworks, monitoring, evaluation, and responsible-AI best practices


• Partner with engineering teams and stakeholders to enable adoption of AI-assisted development


• Drive continuous improvement in system performance and productivity


• Provide technical leadership and mentorship


• Influence enterprise technology decisions through deep expertise and hands-on engineering

Requirements

• Bachelor’s degree in Computer Science, Information Technology, or related field and a minimum of 15 years of experience in software engineering, deep expertise in distributed systems and large-scale architecture, or any combination of education and experience providing an equivalent background


• 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


• Experience with CI/CD and DevOps practices


• Must be within a reasonable commuting distance from a posting location unless an accommodation is granted as required by law


• Not eligible for current or future visa sponsorship

Core Competencies

Demonstrates expertise in designing and deploying large-scale AI systems, with a strong focus on distributed systems, event-driven architectures, and AI-driven modernization of legacy systems. Proven ability to lead technical direction, establish governance frameworks, and mentor engineering teams in adopting AI-assisted development practices.

Highest-signal resume keywords

• AI/ML Systems Delivery


• Distributed Systems Expertise


• Python Programming


• Cloud Platform Experience


• CI/CD and DevOps Practices

Hard Skills

• Software Engineering


• Large-Scale Architecture


• Agentic Systems Development


• APIs


• Microservices


• Event-Driven Architectures


• Automated Code Transformation


• Service Decomposition


• Continuous Optimization


• AI-Enabled Software Development Lifecycle

Soft Skills

• Technical Leadership


• Mentorship


• Collaboration

Industry Keywords

• Governance Frameworks


• Responsible AI Best Practices


• Enterprise Technology Decisions

Tools & Technologies

• Cloud Platforms


• CI/CD Tools


• DevOps Tools