Early-Career; Artificial Intelligence; AI Engineer

Early-Career (Staff) Artificial Intelligence (AI) Engineer

Location:

US-GA-Kennesaw

Position Type:
Regular Full-Time

Remote:
No

Do you want to build an impactful career to change the world for the better?

If you're looking for a place to grow your career, where you can contribute to a dynamic consulting firm, tackle challenging project work, and collaborate with industry recognized professionals - Geosyntec is the place for you!

Geosyntec has an exciting opportunity for an Early-Career (Staff) Artificial Intelligence (AI) Engineer in our Kennesaw, GA office. This position will leverage your academic knowledge and solid understanding of computer science, Artificial Intelligence and Machine Learning (AI/ML) to accelerate our internal and external company initiatives. You will collaborate with our engineering, research and development teams, provide best-in-class solutions, and ensure our digital tools remain cutting-edge.

The candidate will support our ongoing operations through a focus on frontend, backend software development, database management and other tools to compile, visualize and analyze data from a variety of streaming and static sources; build interactive dashboards and reports; and assist with the design, development, and implementation of new products and services for our clients.

The position leads the design and delivery of enterprise-grade AI and internal/external digital solutions supporting Geosyntec's highest priority initiatives. This role owns end-to-end solution architecture for AI, generative AI, and agent-based systems, ensuring solutions are secure, scalable, resilient, and cost-efficient, while aligned with enterprise governance, cybersecurity, and IT standards. The position works with AI/digital and other leaders and translates business requirements into actionable AI solution architectures spanning data platforms, model selection and deployment, application integration, orchestration frameworks, and AI extensibility layers.

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.

Geosyntec is an innovative, international engineering and consulting firm serving private and public-sector clients to address new ventures and complex problems involving our environment, natural resources, and civil infrastructure. Our engineers, scientists, technical and project employees serve our clients from offices across the world. Ranked by ENR as one of the top environmental engineering design firms, Geosyntec is internationally known for its technical leadership, broad experience, and exceptional client service.

We invest in our people. Each employee is unique, and your career at Geosyntec will be too. We offer competitive pay and benefits, and well-being programs to support you and your family.

To Learn More Visit:

• Design and lead AI-based/digital solutions and services, selecting optimal architectures aligned with the company's cloud, data, and security standards.
• 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 the Generative AI platforms, systems and infrastructure and apply general knowledge of software development and infrastructure as code practices.
• Automate engineering data analysis processes using Python, VBA, Microsoft Power Automate, Microsoft Copilot, Azure AI, and other similar scripting languages/platforms.
• Design, develop, and maintain interactive and responsive data visualization components using React, Type Script, or similar frameworks/libraries.
• Develop Python scripts for data analysis and automation of engineering analysis.
• 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…