Enterprise AI Architect & Tech Lead (Gen AI)

Tkxel LLC; Lahore; Vor Ort; PKR 49.848.000 - 66.464.000; Vollzeit

Zusammenfassung

Tkxel LLC is seeking an AI Lead / AI Architect with 7+ years of experience to drive enterprise AI initiatives and shape architecture. You will lead AI strategy, collaborate with product teams, and guide data scientists and engineers from concept to production deployment.

The role requires defining end-to-end AI architectures, evaluating technologies, and establishing patterns and governance for scalable, secure AI solutions across on-premises Kubernetes and cloud environments.

Qualifikationen

• Minimum of 7 years of experience in AI/ML, data science, software engineering, or related fields.
• Hands-on experience designing and delivering enterprise AI/ML solutions.

Aufgaben

• Define the AI/ML architecture and technical strategy for enterprise AI initiatives.
• Translate business objectives and use cases into scalable, secure, and production-ready AI solutions.
• Lead the design of end-to-end AI architectures, including models, data, APIs, applications, infrastructure, and integration components.
• Evaluate AI/ML technologies, frameworks, platforms, and models and recommend the most appropriate solutions.
• Establish reusable AI architecture patterns, standards, and best practices.
• Define technical approaches for traditional ML, Generative AI, LLMs, RAG, and AI Agents.
• Guide Data Scientists and AI/ML Engineers in model development, experimentation, evaluation, and productionization.
• Work with DevOps/MLOps teams to establish production deployment architectures across on-premises Kubernetes and cloud environments.

Jobbeschreibung

Tkxel LLC is seeking an AI Lead / AI Architect with 7+ years of experience to drive enterprise AI initiatives and shape architecture. You will lead AI strategy, collaborate with product teams, and guide data scientists and engineers from concept to production deployment.

The role requires defining end-to-end AI architectures, evaluating technologies, and establishing patterns and governance for scalable, secure AI solutions across on-premises Kubernetes and cloud environments.