Senior AI Applications Engineer

Senior AI Applications Engineer

Join to apply for the Senior AI Applications Engineer role at Deltek.

As the recognized global standard for project-based businesses, Deltek delivers software and information solutions to help organizations achieve their purpose. Our market leadership stems from the work of our diverse employees who are united by a passion for learning, growing and making a difference. Deltek takes immense pride in creating a balanced, values-driven environment, where every employee feels included and empowered to do their best work.

Our employees put our core values into action daily, creating a culture that has been recognized globally. For more information, visit

The Deltek Engineering and Technology team builds best-in-class solutions to delight customers and meet their business needs. We are laser-focused on software design, development, innovation and quality. Our team of experts has the talent, skills and values to deliver products and services that are easy to use, reliable, sustainable and competitive.

We're building an enterprise ERP system from scratch where AI isn’t a feature—it's the foundation. Join Deltek's Engineering and Technology team to create the first truly AI-native SMB ERP. Users will chat with their system instead of clicking through forms. Intelligent agents will handle routine tasks autonomously. And you’ll use AI to write better code faster. This is a greenfield project with no legacy constraints or technical debt, giving the opportunity to reimagine what enterprise software can be when designed for AI from day one.

As a senior engineer, you will own significant features that define next-generation enterprise software, translate architectural vision into production code, mentor other engineers, and help establish patterns for AI-first development.

• Implement complex AI-powered ERP components across multiple domains following architectural guidance.
• Apply prompt engineering frameworks and patterns established by architects across the ERP platform.
• Integrate machine learning capabilities including predictive analytics, anomaly detection, and recommendation systems into production features.
• Implement microservices and APIs connecting AI capabilities with core ERP business logic according to established patterns.
• Collaborate with architects and technical leads on implementation approaches for complex features, providing input on technical feasibility.
• Own complex feature development from implementation through delivery, coordinating with product, UX, and other engineering teams.
• Ensure quality through comprehensive testing, performance optimization, and proper monitoring instrumentation.
• Participate actively in code reviews focusing on code quality, maintainability, and adherence to established patterns.
• Mentor intermediate and entry-level engineers through pairing, implementation guidance, and technical problem-solving.
• Identify technical debt in existing code and contribute to refactoring efforts.
• Provide technical input to architects based on hands-on implementation experience.

• Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, Data Science, or related technical field.
• 5-8 years of professional software engineering experience with exposure to AI/ML systems.
• Proven experience delivering complex features and mentoring engineers in production environments.
• Track record of implementing scalable, high-performance enterprise software or SaaS platforms.
• Experience with multi-tenant architectures and enterprise-scale systems preferred.

• Programming
  
  Languages:
  
  Expert-level proficiency in Java (Java 17+) and Python with strong software design principles.
• Frameworks:
  Deep experience with Quarkus, Spring Boot, or similar frameworks; understanding of reactive and async patterns.
• Database:
  Advanced Postgre
  
  SQL skills including writing performant queries, understanding indexing strategies, and implementing multi-tenant data isolation patterns.
• Prompt Engineering:
  Extensive experience implementing prompt systems, working with RAG…