Application Architect - Hybrid

The position of Application Architect is a salaried, exempt individual contributor level position responsible for leading the design and deployment of scalable, secure, and high-performing Ai-driven applications across the organization. Additionally, this position is responsible for application development, system integration, and architecture best practices, and will play a key role in driving scalable, secure, and maintainable systems across the organization. This position reports to the Senior Director, Software Development, has no direct reports and is located onsite at the Mansfield Oil Company (MOC) location in Gainesville, Georgia.

• Design and lead the implementation of AI-enabled enterprise applications that integrate with core systems (ERP, CRM, data lakes, etc.).
• Define architectural principles, patterns, and governance models for deploying AI across departments at scale.
• Work with business leaders, data scientists, software engineers, and Dev Ops teams to translate enterprise needs into robust Ai application designs.
• Evaluate new AI tools, LLMs, frameworks, and cloud services; drive adoption of emerging technologies such as Generative AI, RAG (Retrieval-Augmented Generation), and enterprise AI agents.
• Ensure AI models are production-ready with proper MLOps practices, version control, CI/CD pipelines, and monitoring.

• Design end-to-end application architectures that integrate AI/ML components into enterprise software systems.
• Define architecture standards, design patterns, and best practices for scalable and secure AI application development.
• Collaborate with data scientists, engineers, product managers, and business stakeholders to translate business requirements into technical solutions.
• Lead proof-of-concept and prototyping efforts to validate architectural decisions and model performance.
• Collaborate with product managers, business analysts, and development teams to define technical requirements and create system blueprints.
• Under the direction of the Senior Director, Software Development, work to establish architecture standards, development guidelines, and reusable frameworks to streamline software development.

• Collaborate with product managers, business analysts, and development teams to define technical requirements and create system blueprints.
• Mentor engineering teams on Ai model integration, MLOps, and application lifecycle management.
• Create and maintain technical documentation, architecture diagrams, and decision records.

• Stay up-to-date with industry trends and emerging technologies and apply them to improve our development processes and methodologies.
• Share knowledge and expertise in order to foster team growth and development.
• Engage with interdisciplinary teams to conceptualize, design, and release new product functionalities and user experiences.

• Minimum of a four (4) year Bachelor’s Degree in Computer Systems, Engineering or similar degree path.
• Certifications in Cloud Architecture (AWS, Azure) and/or AI/ML (e.g., Google Professional ML Engineer).

• 7+ years of software architecture experience with 2+ years in AI/ML solution design.
• Proficient in Python and one or more programming languages (SQL, C#, etc.).
• Hands-on experience with AI/ML frameworks (e.g., Azure AI Foundry).
• Strong understanding of cloud platforms (preferably Azure) and serverless components.
• Knowledge of API design, microservices, and data pipeline architectures.
• Experience with LLMs (e.g., GPT, Claude), prompt engineering, and MCP protocols.
• Familiarity with architecture decision records and architecture review boards.

• Strong understanding of enterprise IT operations and alignment with organizational goals and business objectives.
• Excellent written, verbal, and interpersonal communication skills with the ability to translate complex technical concepts into user-friendly language.
• Ability to prioritize and execute tasks effectively in a fast-paced, high-pressure environment, including during critical or emergency situations.
• Strong analytical and problem-solving skills with keen attention to detail and a commitment to delivering quality outcomes.
• Self-motivated, resourceful, and able to work independently with minimal supervision.
• Demonstrated customer service orientation, with a focus on responsiveness, reliability, and stakeholder…