Professional Software/Data Scientist/Engineer

Overview

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 a Professional Software/Data Scientist/Engineer with an emphasis on Artificial Intelligence (AI) in our Kennesaw, GA office. This role leverages strong foundations in computer science and software engineering to design, build, and deliver data‑intensive and AI‑enabled systems that accelerate internal innovation and client‑facing digital solutions.

The role blends modern software engineering, data engineering, and applied AI practices. You will partner with our 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 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 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 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.

Essential Duties And Responsibilities

• Design and lead AI‑based/digital solutions and services, selecting optimal architectures aligned with the company’s 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 the 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 (e.g., Copilot Studio, Azure Foundry).
• 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. Maintain a strong awareness of the latest trends in AI/ML and their applications to engineering consulting and related industries, ensuring that the company remains at the forefront of technological advancements.
• 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.
• Drive personal, company, and rental vehicles to client or company project or office sites, and other business locations, as needed.

Education and Licensure

• Bachelor’s degree in Computer Science, Information Systems, Data Science or related field. (required)

Skills, Experience And Qualifications

• At least 5 years (7+ preferred) of related work experience or equivalent combination of education and experience. (required)
• Demonstrated experience in software engineering, working with large data sets, and developing end‑to‑end workflows in a professional environment. (required)
• Proficiency in at least one modern programming language (for example, Python, C#, Java, or similar) and ability to write maintainable, testable code. (required)
• Proven experience in developing and deploying AI/ML models, with a strong understanding of RAG models and their implementation using LLMs. (required)
• Proficiency with vector stores, semantic search, and related technologies. (required)
• Knowledge of fine‑tuning techniques for LLMs to adapt them to specific tasks and domains is required. (required)
• Familiarity with other AI and ML technologies such as reinforcement learning, computer vision, or recommendation systems. (preferred)
• Experience with or ability to learn and work with Microsoft Azure services, Microsoft Foundry, Azure OpenAI, Copilot Studio, Power Platform, cognitive search, vector databases, and API integrations. (required)
• Strong understanding of identity, networking, data governance, and security within cloud‑based environments. (required)
• Demonstrated ability to lead technical design discussions, manage stakeholders, and discuss with engineering teams. (required)
• Strong communication skills and ability to translate needs between business stakeholders and technical teams. (required)
• Valid U.S. driver’s license and a satisfactory driving record for business travel. (required)
• Health & Safety training, medical monitoring, and client‑driven drug and background testing may be required by clients for specific project needs.
• This position is not eligible for visa/employment sponsorship.

Preferred Candidate Attributes

Problem Solving & Analytical Thinking: Self‑learner and desire to take initiative. Applies structured thinking to identify, analyze, and help solve business and engineering problems using digital/AI‑enabled approaches. Delivers practical solutions with guidance from senior team members.

Cross‑Functional Collaboration: Works effectively with engineers, data, and business stakeholders to support AI solutions. Demonstrates a collaborative mindset and contributes positively within cross‑disciplinary teams.

Communication & Technical Storytelling: Communicates ideas and technical concepts clearly, adjusting style and level of detail to the audience. Listens actively, seeks feedback, asks clarifying questions, and summarizes discussions to ensure shared understanding.

Learning Agility & Growth Mindset: Learns quickly through hands‑on experimentation and mentorship. Embraces new tools, technologies, and methods, applying lessons learned from both successes and setbacks to improve future work.

Innovation & Curiosity: Brings curiosity and fresh perspectives to problem‑solving. Contributes ideas, explores new approaches, and collaborates with others to refine and strengthen AI solutions that support business outcomes.