- Lead the architecture and development of AI-powered distributed systems that meet enterprise-grade performance, scalability, and security standards.
- Leverage AI tools for code generation, architectural design, and documentation to accelerate delivery and improve engineering 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 solutions.
- 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 documentation, and architecture diagrams.
- Integrate AI solutions into CI/CD pipelines, ensuring observability, automated testing, and deployment standards.
- Implement robust monitoring and performance engineering practices to maintain high-quality deployments.
- Continuously evaluate emerging AI technologies and integrate them into development workflows.
- Champion best practices in security, automation, and performance optimization across the organization.
- 8+ years of software engineering experience with full-stack or backend development in Python, Java, and/or Node.js.
- 3+ years of experience using AI tools for development, prototyping, or documentation.
- Strong experience in cloud-native development and containerized deployments (Docker, Kubernetes).
- Knowledge of AI integration patterns, including vector stores, prompt engineering, and RAG pipelines.
- Ability to design software architectures using sequence diagrams, ERDs, data models, and threat models.
- Comfortable working in GenAI-first environments and collaborating with remote Agile teams.
Preferred Qualifications
- Experience building AI copilots or developer tools using OpenAI/Claude SDKs, LangChain, or similar frameworks.
- Experience working in a fast-paced AI-driven development lifecycle (AIDLC) environment with strong CI/CD understanding.
- Familiarity with GitHub Actions, Argo Workflows, Terraform, and observability tools.
- Strong experience in containerization and orchestration using Docker and Kubernetes.
- Exposure to cloud platforms such as AWS, Azure, or OCI.
AI-First Mindset Requirement
This role requires adopting an AI-first approach, where GenAI and agentic AI tools are treated as essential collaborators rather than optional tools.
The ideal candidate:
- Proactively identifies opportunities to integrate AI into workflows.
- Approaches problems with the mindset: “How can AI help design and optimize this faster and better?”
- Is comfortable with rapid AI evolution and experimentation.
- Uses AI to enhance productivity while maintaining high standards of scalability, security, and cost efficiency.
- Shares AI-driven best practices across engineering teams.
We value professionals who see AI as a productivity multiplier, enabling focus on high-impact architectural decisions and innovation.
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Why Join #TeamDeltek
Grow. Collaborate. Innovate.
We create innovative products and solutions that power our customers’ project success. Our market leadership is based on the work of our global and diverse team of innovators, creators and collaborators who have a passion for learning, growing and making a difference for Deltek Project Nation.



