More jobs:
Enterprise Architect; AI/ML
Job in
Atlanta, Fulton County, Georgia, 30383, USA
Listed on 2025-12-29
Listing for:
Intellectt Inc
Full Time
position Listed on 2025-12-29
Job specializations:
-
IT/Tech
AI Engineer, Cloud Computing
Job Description & How to Apply Below
Talent Acquisition Specialist
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.
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.
- Experience with MLOps, CI/CD, Dev Ops, 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.
- Mid-Senior level
- Full-time
- Information Technology
- Software Development
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