The posting
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.



