- Company Name
- TEK NINJAS
- Job Title
- AI Architect
- Job Description
-
**Job Title**
AI Architect
**Role Summary**
Design, develop, and oversee AI-enabled microservices and full‑stack architecture. Integrate AI agentic frameworks with the Vibe coding paradigm across all product development lifecycle (PDLC) phases. Lead technical direction for the ATONIS Center of Excellence (CoE), establish AI governance, and optimize platform performance within Kubernetes and network environments.
**Expectations**
- Demonstrated end‑to‑end AI architecture design in product development.
- Strong knowledge of Vibe coding, PDLC, and DevOps practices.
- Proven experience with Kubernetes, microservices, and network infrastructure.
- Ability to create AI governance frameworks and enforce security policies.
- Leadership in a technical CoE setting, driving best practices and adoption.
**Key Responsibilities**
- Architect end‑to‑end AI solutions across requirements, design, coding, and testing.
- Implement Vibe coding frameworks and integrate them with AI agentic models.
- Integrate AI frameworks with PDLC tooling (Jira, DevOps, ServiceNow).
- Configure and optimize the ATONIS platform on Kubernetes and networking layers.
- Develop integration patterns with existing enterprise tools and services.
- Lead the ATONIS Center of Excellence, setting standards and facilitating knowledge sharing.
- Establish AI governance framework, security policies, and compliance guidelines.
**Required Skills**
- Microservices architecture (REST, gRPC, GraphQL).
- Full‑stack development (frontend/backend, APIs).
- Kubernetes cluster design, deployment, and monitoring.
- Network infrastructure design (load balancers, VPN, firewalls).
- Strong understanding of AI/ML pipelines, agentic frameworks, and data pipelines.
- Vibe coding framework proficiency.
- DevOps expertise (CI/CD, GitOps, containerization).
- Experience with Jira, DevOps tooling, and ServiceNow integration.
- AI governance, data privacy, and security policy development.
- Excellent communication and technical leadership.
**Required Education & Certifications**
- Bachelor’s or Master’s degree in Computer Science, Software Engineering, or related field.
- Certifications in Kubernetes (CKA/CKAD), AI/ML (e.g., TensorFlow, PyTorch), and DevOps (AWS, Azure, GCP) are preferred.