Company Summary
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.
At Deltek, we take 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 one-of-a-kind culture that has been recognized globally. Thanks to our incredible team, Deltek has been named one of America's Best Midsize Employers by Forbes, a Best Place to Work by Glassdoor, a Top Workplace by The Washington Post and a Best Place to Work in Asia by World HRD Congress. www.deltek.com
Business Summary
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. If you're looking for a safe environment where ideas are welcome, growth is supported and questions are encouraged consider joining us as we explore the limitless opportunities of the software industry.
Position Responsibilities
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 problems more efficiently.
The ideal candidate approaches challenges by first considering: How can AI help me accomplish this faster and better while maintaining high standards for quality, security, and reliability. This mindset includes being comfortable with rapid AI tool evolution, eager to experiment with new AI capabilities, and committed to sharing AI-enhanced approaches with team members.
We value professionals who see AI as a productivity multiplier that enables focus on higher-value creative and strategic work, rather than a replacement for human expertise and judgment.
Key Responsibilities
AI Architecture & Solution Design
- Design end-to-end AI solution architectures, including:
- Generative AI and LLM-based systems
- Retrieval-Augmented Generation (RAG) pipelines
- Agentic and multi-agent workflows
- Define reference architectures and best practices for AI-enabled features within enterprise products.
- Ensure AI solutions integrate seamlessly with existing applications, data, and cloud architectures.
AI Integration & MCP Servers
- Design and implement Model Context Protocol (MCP) servers to securely expose tools, APIs, and data to AI agents.
- Define standards for tool interfaces, access control, auditing, and safety guardrails.
- Enable product teams to onboard AI tools and capabilities using reusable, scalable integration patterns.
Agentic AI & Workflow Enablement
- Architect AI-driven workflows that support collaboration between humans and AI agents.
- Design AI-to-AI (A2A) and AI-to-system interaction patterns.
- Ensure agent behaviors are deterministic, explainable, and aligned with enterprise requirements.
Hands-On Development & Prototyping
- Build proofs-of-concept and production-ready implementations using Python and/or TypeScript.
- Rapidly validate ideas from ideation to deployment.
- Establish reusable frameworks, libraries, and CI/CD pipelines for AI development.
AI Governance, Quality & Safety
- Implement guardrails to minimize hallucinations, unsafe actions, and data leakage.
- Define evaluation and monitoring strategies for AI systems, including prompt regression and RAG accuracy checks.
- Ensure AI solutions comply with enterprise security, privacy, and governance standards.
Developer Enablement & Collaboration
- Partner with Product, Engineering, QE, Performance, and Security teams to deliver AI capabilities.
- Mentor teams on AI design patterns, tooling, and best practices.
- Contribute to internal AI communities through demos, documentation, and knowledge sharing.
Qualifications
Required Qualifications
- Bachelor's degree in computer science, Engineering, or a related technical field, or equivalent practical experience.
- Demonstrated expertise in cloudnative system design, distributed architectures, and enterprisescale integrations.
- Proven ability to architect and implement AI-enabled systems, including integrating Large Language Models (LLMs) into production-grade software.
- Strong ownership of architectural decisions, technical direction, and solution delivery across complex, cross-functional initiatives.
- Hands-on experience applying security, observability, and automation best practices within enterprise environments.
- 610 years of experience in software architecture and distributed systems.
- 5+ years of experience building Generative AI or LLM-based solutions.
- Practical experience designing and implementing:
- Retrieval-Augmented Generation (RAG) architectures
- Agentic AI systems
- Tool-calling frameworks and AI integration layers
- Proficiency in Python and/or .Net/TypeScript/Node.js.
- Experience working with major cloud platforms such as Azure, AWS, or Google Cloud Platform (GCP).
Preferred Qualifications
- Experience with OpenAI, Azure OpenAI, Anthropic, or similar LLM platforms.
- Familiarity with Model Context Protocol (MCP) or equivalent AI tool-integration frameworks.
- Experience applying AI engineering practices beyond prototyping, including evaluation, reliability, and scalability considerations.
- Ability to translate ambiguous business problems into clear technical architecture and execution plans.
- History of influencing technical standards and mentoring senior engineers or architects.
- Experience with vector databases, embeddings, and retrieval optimization.
- Experience building AI-enabled developer tooling and CI/CD pipelines.
- Prior experience in enterprise SaaS environments.
Position Type
FT
Travel Requirements
No
Applicant Privacy Notice
Deltek is committed to the protection and promotion of your privacy. In connection with your application for employment with us at Deltek, it is necessary for us to collect, store and use information about you (Personal Data) to administer and evaluate your application. We are the controller of the Personal Data you provide us and will process any such Personal Data in accordance with applicable law and the statements contained in this Employment Candidate Privacy Notice . Additionally, we have not sold and do not sell Personal Data you provide to us through the job application process. 
