Sr. AI Software Developer

About Day and Zimmermann

When you’ve been around for more than a century, you know a thing or two! At Day & Zimmermann, we take our lifetime of experience and make things better! Our 37,000+ employees help bring big ideas to life every day. We’re pushing the boundaries of innovation in construction & engineering, operations & maintenance, staffing, and security & defense. And that’s not all. Did we mention that we have 900+ worldwide locations with $3 billion USD in annual revenue? Come join our in on purpose – We put people to work, we protect American freedoms, and we help our customers power and improve the world. We do what we say.® http://www.dayzim.com

Job Summary

The Senior AI Software Developer leads the design, development, and deployment of AI-powered applications, intelligent workflows, and agent-based solutions that enhance business and user experiences. This role serves as a senior technical contributor responsible for architecting scalable AI-enabled software solutions, establishing engineering standards and reusable frameworks, and mentoring development teams on applied AI best practices. The position combines advanced software engineering expertise with practical experience delivering AI-powered products into production environments. The Senior AI Software Developer collaborates closely with product, design, architecture, and business stakeholders to deliver reliable, secure, and scalable AI capabilities that drive operational efficiency, automation, and innovation.

Responsibilities

• Lead the architecture, development, testing, deployment, and optimization of AI-powered applications, intelligent workflows, APIs, and user-facing features integrated into enterprise and customer-facing solutions. 30%
• Design and implement scalable AI application frameworks, reusable components, prompt patterns, orchestration services, and agent-based systems that improve development efficiency, maintainability, reliability, and consistency across platforms. 20%
• Partner with cross-functional teams, including product management, UX/design, engineering, and business stakeholders, to translate business requirements and user needs into practical AI-enabled solutions and enhanced digital experiences. 15%
• Establish and promote engineering standards, architectural patterns, governance practices, and secure development methodologies for AI-assisted software development, including responsible AI usage, prompt management, monitoring, and risk mitigation. 15%
• Evaluate, integrate, and optimize AI models, APIs, orchestration frameworks, and emerging technologies while balancing scalability, performance, cost, reliability, maintainability, and business value. 10%
• Mentor and guide software developers and technical teams on advanced software engineering practices, AI engineering techniques, evaluation methodologies, and production support strategies to strengthen organizational AI capabilities. 10%

KSAs (Knowledge, Skills, and Abilities)

• Advanced knowledge and hands-on experience in designing, developing, deploying, and supporting AI-powered applications and enterprise software solutions in production environments, including large language models (LLMs), prompt engineering, retrieval augmented generation (RAG), agent-based systems, embeddings, vector databases, and AI orchestration frameworks.
• Strong software engineering and system architecture expertise, including full-stack application development, API design, schema-driven development, distributed systems, microservices, enterprise integration patterns, cloud-native architectures, and scalable deployment strategies.
• High proficiency in modern programming languages, frameworks, and development technologies, including TypeScript, JavaScript, Python, Node.js, React, Angular, and related software development tools and platforms.
• Demonstrated ability to design and implement reusable frameworks, shared services, automation components, engineering standards, and scalable development practices that improve application reliability, maintainability, performance, and operational efficiency.
• Knowledge of AI governance, security, monitoring, evaluation methodologies, and production support practices, including observability, performance optimization, prompt injection defense, hallucination mitigation, fallback strategies, and responsible AI implementation.
• Strong analytical, problem-solving, leadership, communication, mentoring, and collaboration skills, including the ability to work effectively in Agile development environments, influence technical direction, explain complex technical concepts to diverse stakeholders, and support organizational capability development.

Minimum Qualifications

• Bachelor’s De