Position Responsibilities :

• Lead the architecture and development of AI-powered, distributed systems that meet enterprise-grade performance and security standards.
• Leverage AI tools for code generation, architectural design, and documentation to accelerate delivery and improve quality.
• Design, build, and maintain services using Python, Java, and Node.js, following clean-code and secure design principles.
• Develop agentic AI-based tools, domain-specific copilots, and developer productivity enhancements.
• Collaborate with cross-functional teams to define modular, scalable, and compliant architecture patterns.
• Conduct technical design reviews and produce detailed documentation, including system specifications, API docs, and architecture diagrams.
• Integrate AI solutions into CI/CD pipelines, ensuring observability, automated testing, and deployment standards are met.
• Implement robust monitoring and performance engineering practices to maintain high-quality deployments.
• Continuously evaluate emerging AI technologies and integrate them into development workflows for maximum impact.
• Champion best practices in security, automation, and performance optimization across the organization

Qualifications :

• 5+ years in software engineering with full-stack or backend development in Python, Java, and/or Node.js.
• 2+ years with AI tools for development, prototyping, or documentation tasks.
• Experience with cloud-native development and containerized deployment (Docker, Kubernetes).
• Knowledge of AI integration patterns, vector stores, prompt engineering, and RAG pipelines.
• Ability to design software architecture using sequence diagrams, ERDs, data models, and threat models.
• Comfortable with Gen AI-first environments and working with remote Agile teams.

AI-First Mindset Requirement

This role requires embracing an AI-first approach to work, where GenAI and agentic AI tools are viewed as essential collaborators rather than optional supplements. We expect team members who naturally think in terms of AI-enhanced workflows, proactively seek opportunities to integrate intelligent automation, and demonstrate curiosity about leveraging AI to solve complex cloud architecture challenges more efficiently.

The ideal candidate approaches cloud architecture challenges by first considering: "How can AI help me design and optimize this solution faster and better?" while maintaining high standards for scalability, security, and cost-effectiveness. This mindset includes being comfortable with rapid AI tool evolution, eager to experiment with new AI capabilities for cloud optimization and architectural decision-making, and committed to sharing AI-enhanced approaches with engineering teams and stakeholders.

We value professionals who see AI as a productivity multiplier that enables focus on higher-value strategic architecture decisions and innovative cloud solutions, rather than a replacement for human expertise and architectural judgment.

Why Join Deltek?