Professional Software​/Data Scientist​/Engineer

Overview

Geosyntec is an innovative, international engineering and consulting firm serving private and public‑sector clients. We offer a dynamic work environment where you will design, build, and deliver data‑intensive and AI‑enabled systems that accelerate internal innovation and client‑facing digital solutions.

We are looking for a Professional Software/Data Scientist/Engineer with an emphasis on Artificial Intelligence (AI) based in our Kennesaw, GA office. The role blends modern software engineering, data engineering, and applied AI practices. You will partner with engineering, research, and development teams, provide best‑in‑class solutions, and ensure our digital tools remain cutting‑edge. Candidates may come from software engineering, data science/engineering, or hybrid technical backgrounds, provided they have experience delivering production‑grade systems in data‑intensive or AI‑enabled environments.

The position leads the design and delivery of enterprise‑grade AI and digital solutions supporting Geosyntec’s highest‑priority initiatives. The role owns end‑to‑end solution architecture spanning data platforms, software services, AI and generative AI systems, and application integration. Solutions are designed to be secure, scalable, resilient, cost‑efficient, and aligned with enterprise governance, cybersecurity, and IT standards.

The role partners cross‑functionally with product, engineering, security, data, and infrastructure teams to drive adoption of AI capabilities and establish best practices across the enterprise.

• Design and lead AI‑based and digital solutions and services, selecting optimal architectures aligned with company cloud, data, and security standards.
• Translate business requirements into implementable architectures and solutions across data platforms, AI models, application services, orchestration frameworks, and extensibility layers.
• Design, develop, test, deploy, support, and enhance new or off‑the‑shelf secure AI and ML models, including Retrieval‑Augmented Generation (RAG), tailored to domain‑specific deliverables and company initiatives.
• Build generative AI platforms, systems and infrastructure and apply general knowledge of software development and infrastructure‑as‑code practices.
• Automate engineering and business processes using scripting languages and modern automation platforms, including Python and cloud‑based AI services from Microsoft.
• Design and implement user interfaces, data visualizations, and other interaction layers as needed to support AI‑enabled workflows and decision‑making.
• Develop Python scripts for data analysis and automation of engineering analysis.
• Design, develop, test, deploy, support, and enhance production‑grade applications and services that enable AI and data‑driven workflows.
• Integrate front‑end components with back‑end APIs and services for seamless data interactions.
• Ensure UI/UX best practices to improve user experience and workflow efficiency.
• Develop, manage, and maintain relational database applications for data storage and retrieval, ensuring performance, scalability, and security.
• Implement and maintain RESTful APIs and backend services to support front‑end applications.
• Lead solution architecture for priority AI, generative AI, and agent‑based use cases, including hands‑on technical design, decision‑making, and architecture reviews.
• Identify technical, security, data, and delivery risks associated with AI solutions and implement appropriate mitigation strategies.
• Embed Responsible AI principles into solution designs, including privacy, security, transparency, and model risk management.
• Provide training and support to internal teams on AI/ML technologies and best practices, fostering a culture of continuous learning and innovation.
• Maintain comprehensive documentation for all AI/ML projects, including design specifications, solution diagrams, implementation plans, and user guides.
• Responsible for coordinating transportation to and from the office; and local travel or driving to project sites as needed.

• Bachelor’s degree in Computer Science, Information Systems, Data Science or…