About The AES Group:
The AES Group is a premier technology and engineering consulting company that has been bringing businesses and talent together for over 20 years to deliver innovative solutions that have the greatest positive impact on society. AES has helped over 40 business enterprises, including Fortune 500 companies, engage their customers, empower their employees, and transform their business operations with the power of cloud, data, AI, engineering, and other emerging technologies.
Ideal Candidate
The ideal candidate is an experienced Software or IT Architect with a strong background in backend engineering, cloud-native platforms, Kubernetes, DevOps, and enterprise architecture. They should possess hands-on experience with modern AI coding assistants and be passionate about transforming software engineering through AI-assisted development while providing technical leadership across large engineering organizations.
Position Overview
Seeking an experienced IT Architect to lead the evaluation, adoption, and enterprise implementation of AI-powered software engineering platforms and cloud-native architecture initiatives. This role will help define how software is developed across the organization by driving AI-assisted engineering practices, modern developer tooling, cloud architecture, and engineering productivity transformation.
The ideal candidate combines strong software architecture expertise with hands-on backend development experience, cloud-native technologies, DevOps, Kubernetes, and AI-assisted software engineering tools such as Cursor, Claude Code, and GitHub Copilot.
This individual will collaborate with engineering leaders, architects, cybersecurity, DevOps, and enterprise teams to establish AI engineering standards, governance frameworks, and next-generation software development practices.
Key Responsibilities
- Lead the evaluation and adoption of AI-powered software engineering platforms including Cursor, Claude Code, GitHub Copilot, and emerging AI coding agents.
- Define enterprise architecture standards for AI-assisted software development, engineering governance, and developer productivity.
- Evaluate cloud capabilities and recommend architecture strategies supporting our Electronics and enterprise engineering initiatives.
- Assess Kubernetes, Docker, containerization, and cloud-native technologies to determine optimal architecture solutions.
- Design reference architectures and implementation patterns for AI-native software development.
- Partner with engineering teams to implement agentic development workflows and specification-driven engineering practices.
- Evaluate engineering productivity using data-driven metrics and establish continuous improvement strategies.
- Work closely with Enterprise Architecture, GIS, Security, DevOps, and Platform Engineering teams to deliver scalable, secure solutions.
- Review emerging technologies across Autonomy, Embedded Systems, Remote Services, MineStar, ICS, ACT, and related engineering domains.
- Challenge existing architecture decisions and identify innovative technical alternatives.
- Evaluate security, compliance, and governance considerations for AI coding platforms.
- Mentor engineering teams on AI-assisted development, cloud-native architectures, and modern software engineering practices.
- Collaborate with vendors and strategic partners to evaluate emerging technologies and industry trends.
- Present architecture recommendations, pilot results, and technology roadmaps to engineering leadership.
Required Qualifications
- Bachelor's or Master's degree in Computer Science, Software Engineering, or a related technical discipline.
- 5+ years of experience in Software Architecture, IT Architecture, or Technical Leadership.
- Strong hands-on backend software development experience using Java (Spring Boot) and Python.
- Experience designing distributed systems, APIs, and cloud-native applications.
- Strong understanding of cloud infrastructure, DevOps, server/storage technologies, and enterprise architecture.
- Experience with Docker, Kubernetes, and containerized application platforms.
- Knowledge of enterprise security standards and secure software development practices.
- Strong business acumen with the ability to align technical decisions to business objectives.
- Experience working within Agile/Scrum environments.
- Excellent communication, collaboration, and problem-solving skills.
Preferred Qualifications
- Experience with AI-assisted software engineering platforms including:
- Cursor
- Claude Code
- GitHub Copilot
- Experience with agentic software development and specification-driven development.
- Experience with AWS and/or Azure cloud platforms.
- Knowledge of developer experience platforms and DevOps modernization.
- Exposure to Robotics, Physical AI, Digital Twins, or Autonomous Systems.
- TOGAF Certification (preferred).
- Experience mentoring engineering teams and leading architecture reviews.
Required Technical Skills
- AI-Assisted Software Engineering
- Cursor
- Claude Code
- GitHub Copilot
- Java
- Spring Boot
- Python
- REST APIs
- Distributed Systems
- Cloud Architecture
- AWS / Azure
- Docker
- Kubernetes
- DevOps
- Software Architecture
- Prompt Engineering
- Agentic Development
- Engineering Productivity
- SDLC Modernization
- Enterprise Architecture
- IT Security
Preferred Technical Skills
- Specification-Driven Development
- Robotics
- Physical AI
- Simulation Platforms
- Digital Twins
- Developer Experience Platforms
- TOGAF Framework
Soft Skills
- Strong technical leadership
- Excellent analytical and problem-solving abilities
- Strong written and verbal communication
- Cross-functional collaboration
- Ability to work in fast-paced, evolving environments
- Ownership mindset with accountability
- Technical documentation and architecture design
- Stakeholder management
- Vendor collaboration
- Continuous improvement mindset
Top 3 Required Skills
- AI-Assisted Software Engineering & Developer Productivity
- Backend Engineering (Java, Spring Boot, Python, APIs, Cloud)
- Software Architecture, Technical Leadership & Engineering Transformation
Strong preference
- TOGAF Certification
- Cloud Architecture Strategy
- Kubernetes Architecture
- AI Governance
- Engineering Metrics
- Platform Engineering
- Autonomy or Embedded Systems
- Remote Services / MineStar exposure
What You'll Be Doing
- Drive enterprise adoption of AI-powered software engineering.
- Modernize software development through AI-native engineering practices.
- Build scalable cloud-native architecture solutions.
- Define engineering governance and architecture standards.
- Improve developer productivity using modern AI tools.
- Partner with senior engineering leadership to shape long-term AI engineering strategy.
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