Job Description

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

cloud?native system design, distributed architectures,

and

enterprise?scale 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.

6-10 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

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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.