Software/Data Scientist/Engineer

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Professional Software/Data Scientist/Engineer in AI at Geosyntec, delivering data-intensive solutions. Designing enterprise-grade AI applications in Kennesaw, GA office.

Posted 7/16/2026full-timeKennesaw • 🇺🇸 United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and implementing AI and ML solutions, with a strong focus on Python programming, cloud services, and data governance. Capable of leading technical discussions and translating complex requirements between business and technical teams.

Highest-signal resume keywords

AI/ML Model DevelopmentPython ProgrammingMicrosoft Azure ServicesSolution ArchitectureData Governance

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Hard Skills

Software EngineeringEnd-to-End Workflow DevelopmentRAG Model ImplementationVector StoresSemantic SearchFine-Tuning Techniques for LLMsRESTful API DevelopmentData AnalysisAutomation ScriptingDatabase Management

Soft Skills

Strong Communication SkillsStakeholder ManagementTechnical Design Leadership

Tools & Technologies

Microsoft FoundryAzure OpenAICopilot StudioPower PlatformCognitive SearchVector Databases

Industry Keywords

Cloud SecurityData GovernanceResponsible AIAI-Enabled WorkflowsUser Experience Design

Tech Stack

Tools & technologies

AzureCloudJavaPython

About the role

Key responsibilities & impact

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.

Requirements

What you’ll need

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

Benefits

Comp & perks

competitive pay and benefits
well-being programs to support you and your family