AI Architect

Job Summary

We are seeking a highly hands-on AI Architect with a minimum of 5 years of relevant experience. The ideal candidate will possess end-to-end expertise across modern AI technologies, including large language models (LLMs), agentic AI, retrieval-augmented generation (RAG), AI integrations, and deployment. This role requires the ability to architect and build practical AI solutions, not merely manage AI projects. The AI Architect will play a critical role in integrating AI into products, business workflows, and scalable production systems, ensuring seamless and effective AI adoption within the organization.

Responsibilities

• Architect and develop practical AI solutions leveraging modern AI technologies such as LLMs, agentic AI, and RAG.
• Integrate AI capabilities into existing products, business workflows, and scalable production environments.
• Lead end-to-end AI solution design, development, and deployment.
• Stay current with the latest AI tools, frameworks, and models to ensure cutting-edge implementations.
• Collaborate with cross-functional teams to align AI initiatives with business goals.
• Troubleshoot and optimize AI systems for performance, scalability, and reliability.

Qualifications

• Minimum of 5 years of hands-on experience in AI architecture and development.
• Strong expertise in modern AI technologies including large language models (LLMs), agentic AI, and retrieval-augmented generation (RAG).
• Proven ability to design and build scalable AI solutions integrated into production systems.
• Deep understanding of AI integration within products and business workflows.
• Familiarity with AI deployment strategies and best practices.
• Proficient with the latest AI tools, frameworks, and models.
• Strong problem-solving skills and ability to work independently.
• Educational background in Computer Science, Artificial Intelligence, Machine Learning, or a related field (Bachelor’s degree or higher preferred).

Preferred Skills

• Experience with cloud platforms and AI service integrations.
• Knowledge of software engineering best practices and DevOps for AI systems.
• Familiarity with agentic AI frameworks and autonomous AI agents.
• Experience with data engineering and management for AI applications.
• Ability to mentor and guide junior AI engineers.

Experience

• At least 5 years of relevant experience in AI architecture, development, and deployment.
• Demonstrated experience in building and integrating AI solutions in production environments.

Environment

• Work setting details are not specified; flexibility for remote, in-office, or hybrid arrangements may be considered based on company policies.
• Role involves working with cutting-edge AI technologies and collaborating with technical and business teams.