Enterprise Architect

Role:
Enterprise Architect (AI/ML)

Location
: Atlanta, GA--Onsite

Duration
: Full Time

Key Responsibilities:

• Define and execute the company's enterprise technology roadmap aligned with business objectives and AI-first strategy.
• Lead the architecture, design, and implementation of scalable, secure, and cloud-native systems.
• Drive AI/ML and Generative AI initiatives, leveraging LLMs, OpenAI/GenAI platforms, and emerging technologies to enhance products and operations.
• Architect and oversee solutions leveraging AWS, Azure, or GCP, ensuring high availability and performance.
• Establish enterprise architecture standards, governance, and best practices across teams.
• Collaborate with product, data, and business leadership to define technical strategy and priorities.
• Guide teams on data platforms, MLOps, AI governance, and model lifecycle management.
• Ensure security, compliance, and data governance across cloud and AI systems.
• Evaluate and adopt new tools, frameworks, and platforms to drive innovation and operational efficiency.
• Mentor and lead architecture, engineering, and data science teams.

Required Skills & Qualifications:

• 10+ years of progressive experience in software engineering, architecture, and technology leadership.
• Strong hands-on experience with AI/ML and Generative AI (LLMs, prompt engineering, model deployment).
• Proven expertise in cloud platforms: AWS, Azure, or GCP.
• Solid understanding of enterprise, cloud-native, and data-driven architectures.
• Experience with Python, Java, and modern backend frameworks.
• Knowledge of data platforms, APIs, microservices, and event-driven systems.
• Strong understanding of security, scalability, and performance optimization.
• Proven ability to influence stakeholders and lead cross-functional teams.
• Bachelor's or Master's degree in Computer Science, Engineering, or related field.

Preferred Qualifications:

• Experience with MLOps, CI/CD, DevOps, Docker, and Kubernetes.
• Exposure to AI governance, responsible AI, and compliance frameworks.
• Familiarity with big data, analytics, and real-time data processing.
• TOGAF or similar enterprise architecture certification is a plus.
• Experience working in startup or large-scale enterprise environments.