Engineer

Geosyntec Consultants•Kennesaw, GA

1d•Onsite

About The Position

Geosyntec is seeking a Professional Software/Data Scientist/Engineer with an emphasis on Artificial Intelligence (AI) for its Kennesaw, GA office. This role involves designing, building, and delivering data-intensive and AI-enabled systems to support internal innovation and client-facing digital solutions. The position blends modern software engineering, data engineering, and applied AI practices, partnering with engineering and R&D teams to ensure digital tools remain cutting-edge. Candidates should have experience delivering production-grade systems in data-intensive or AI-enabled environments. The role will support ongoing operations through frontend and backend software development, database management, data visualization, and the design and implementation of new client products and services. It leads the design and delivery of enterprise-grade AI and digital solutions, owning end-to-end solution architecture for data platforms, software services, AI and generative AI systems, and application integration, ensuring solutions are secure, scalable, resilient, cost-efficient, and aligned with enterprise standards. The position translates business requirements into actionable AI solution architectures and partners cross-functionally to drive AI adoption and establish best practices. Geosyntec is an international engineering and consulting firm known for its technical leadership and client service, investing in employee growth with competitive pay, benefits, and well-being programs.

Requirements

Bachelor’s degree in Computer Science, Information Systems, Data Science or related field.
At least 5 years (7+ preferred) of related work experience or equivalent combination of education and experience.
Demonstrated experience in software engineering, working with large data sets, and developing end-to-end workflows in a professional environment.
Proficiency in at least one modern programming language (for example, Python, C#, Java, or similar) and ability to write maintainable, testable code.
Proven experience in developing and deploying AI/ML models, with a strong understanding of RAG models and their implementation using LLMs.
Proficiency with vector stores, semantic search, and related technologies.
Knowledge of fine-tuning techniques for LLMs to adapt them to specific tasks and domains is required.
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.
Strong understanding of identity, networking, data governance, and security within cloud-based environments.
Demonstrated ability to lead technical design discussions, manage stakeholders, and discuss with engineering teams.
Strong communication skills and ability to translate needs between business stakeholders and technical teams.
Valid U.S. driver’s license and a satisfactory driving record for business travel.

Nice To Haves

Familiarity with other AI and ML technologies such as reinforcement learning, computer vision, or recommendation systems.

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, etc.).
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 frontend 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.