Sr. AI Architect

Company Description

Position Summary

VibeCode

AI Strategy, Architecture & Development

• Define and implement the organization’s AI roadmap, including technical architecture, hosting frameworks, and deployment strategies for on-premise and hybrid environments.
• Architect scalable AI/ML models tailored for cybersecurity, governance, and compliance use cases.
• Design LLM-based virtual CISO (vCISO) chatbot systems using modern AI models (e.g., ClaudeV2, GPT-4) to simulate strategic decision-making.
• Build advanced document analysis and comparison systems, enabling intelligent data extraction, policy gap detection, and pattern recognition across unstructured records.
• Develop and deploy production applications using
• Vibe Coding platforms like Lovable, Bolt.New, Base 44, etc.
• , ensuring reliability, scalability, and maintainability.

Integration, Scalability & Operations

• Create modular architectures compatible with enterprise infrastructure, cloud platforms (AWS, Azure), and containerized environments (Kubernetes, Docker).
• Design robust

MLOps/LLMOps

• pipelines for continuous model delivery, monitoring, and lifecycle management.
• Ensure seamless integration with existing enterprise systems, including security and data governance tools.

Security, Compliance & On-Prem Readiness

• Implement AI solutions adhering to

Pci Dss

GDPR

PDPL

NIST

• standards.
• Prioritize secure foundations through encryption, access control, and vulnerability hardening.
• Oversee AI deployments in government and regulated environments, ensuring full compliance for on-prem operations.

Leadership & Team Building

• Serve as the founding member of the AI department, participating in early hiring and team formation.
• Mentor data, DevOps, and development teams on AI best practices and integration principles.
• Collaborate with product owners and stakeholders to translate business goals into scalable AI solutions.

Qualifications

• **Education:**
• Master’s degree in AI, Data Science, or Computer Science (PhD preferred).
• **Experience:**
• 8+ years in AI/ML architecture and development, with at least 1 year in cybersecurity applications.(Preferable)
• **Technical Expertise:**
• **Proficiency in TensorFlow, PyTorch**
• , and large language models (LLMs) such as

Gpt-4

ClaudeV2

• , etc.
• Strong command of
• MLOps tools
• (Kubeflow, MLflow) and
• DevOps workflows
• (Git, Kubernetes, Docker).
• Proven experience developing production-grade

VibeCode

• applications.
• Familiarity with document comparison, NLP, and anomaly detection systems.

Preferred Attributes

• Experience deploying AI in regulated sectors (e.g., government, finance, healthcare).
• Background in hybrid and on-prem AI hosting, Data Mesh, or Lakehouse architectures.
• Clear communicator with an ability to align technical outcomes with business goals.