- Company Name
- Atlantis IT Group
- Job Title
- Gen AI Architect
- Job Description
-
Job title: Gen AI Architect
Role Summary: Lead the design, integration, and governance of generative AI solutions across enterprise systems, driving strategy, technical feasibility, and roadmap execution while ensuring scalability, security, and alignment with business objectives.
Expactations:
- Deliver a cohesive AI and GenAI architecture strategy that supports innovation and enterprise-wide adoption.
- Maintain robust, scalable, and secure AI infrastructure that integrates with existing business and technical landscapes.
- Serve as a technical authority on AI, machine learning, data science, and cloud technologies, shaping architectural principles and standards.
- Collaborate with business stakeholders to translate AI opportunities into actionable, feasible projects.
Key Responsibilities:
- Develop and evolve the generative AI architecture strategy, ensuring alignment with business goals and technology roadmaps.
- Define architectural principles, standards, and best practices for AI/GenAI solutions.
- Evaluate technical feasibility and risk for proposed AI use cases, providing recommendations and roadmaps.
- Lead cross-functional teams in designing, building, and deploying AI solutions, ensuring secure, efficient, and adaptable implementations.
- Oversee integration of AI components with legacy systems, data pipelines, and cloud platforms.
- Mentor and guide engineering and data science teams on architectural decisions and design patterns.
- Monitor performance, scalability, and compliance of AI solutions, iterating on architecture as needed.
Required Skills:
- Expertise in generative AI models (e.g., GPT, Stable Diffusion) and related frameworks.
- Strong background in AI/ML architecture, data engineering, and cloud infrastructure (AWS, Azure, GCP, or equivalent).
- Proven experience with model deployment, scaling, and monitoring in production environments.
- Deep understanding of security, privacy, and regulatory considerations for AI solutions.
- Excellent communication and stakeholder management skills; ability to translate technical concepts for non‑technical audiences.
- Leadership experience in guiding cross‑disciplinary teams through complex AI projects.
Required Education & Certifications:
- Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or related field.
- Certifications in cloud architecture (e.g., AWS Certified Solutions Architect, Azure AI Engineer Associate) and AI/ML (e.g., TensorFlow Developer, Data Science Professional Certificate) preferred.