Artificial Intelligence Architect

As an AI Architect, your role will involve designing, developing, and deploying scalable AI solutions. You will be responsible for architecting end-to-end AI systems aligned with business objectives. Your key responsibilities will include: - Designing and implementing end-to-end AI/Gen AI solutions. - Architecting scalable and secure AI systems using cloud platforms. - Working on Generative AI use cases including LLMs, RAG, Workflow, Agentic AI, prompt engineering, LLM-as Judge, and fine-tuning. - Collaborating with cross-functional teams and customers to translate business requirements into AI solutions. - Having knowledge and experience working in the SDLC process and understanding DevOps practices/workflows. - Staying updated with emerging AI trends and evaluating new tools/technologies. - Mentoring junior engineers and guiding best practices in AI development. To excel in this role, you should have the following required skills: - Strong proficiency in Python and AI/ML Tools like Google ADK/Langgraph/Langchain, etc. - Experience in configuring the LLM in AWS Bedrock/Azure Foundry/Databricks and configuring the LLMOPS and production-grade AI System. - Hands-on experience with Generative AI (LLMs, embedding, prompt engineering). - Understanding the Agile process and involvement in technical scoping and estimations. - Strong problem-solving and analytical skills. - Experience working on production-grade AI systems. Additionally, it would be nice to have certifications in Gen AI/AI/ML in Azure/Databricks platforms, foundational knowledge with Azure Cloud, and experience in handling enterprise custom and enterprise AI solutions for added advantage. This Job Description omits any additional details of the company. As an AI Architect, your role will involve designing, developing, and deploying scalable AI solutions. You will be responsible for architecting end-to-end AI systems aligned with business objectives. Your key responsibilities will include: - Designing and implementing end-to-end AI/Gen AI solutions. - Architecting scalable and secure AI systems using cloud platforms. - Working on Generative AI use cases including LLMs, RAG, Workflow, Agentic AI, prompt engineering, LLM-as Judge, and fine-tuning. - Collaborating with cross-functional teams and customers to translate business requirements into AI solutions. - Having knowledge and experience working in the SDLC process and understanding DevOps practices/workflows. - Staying updated with emerging AI trends and evaluating new tools/technologies. - Mentoring junior engineers and guiding best practices in AI development. To excel in this role, you should have the following required skills: - Strong proficiency in Python and AI/ML Tools like Google ADK/Langgraph/Langchain, etc. - Experience in configuring the LLM in AWS Bedrock/Azure Foundry/Databricks and configuring the LLMOPS and production-grade AI System. - Hands-on experience with Generative AI (LLMs, embedding, prompt engineering). - Understanding the Agile process and involvement in technical scoping and estimations. - Strong problem-solving and analytical skills. - Experience working on production-grade AI systems. Additionally, it would be nice to have certifications in Gen AI/AI/ML in Azure/Databricks platforms, foundational knowledge with Azure Cloud, and experience in handling enterprise custom and enterprise AI solutions for added advantage. This Job Description omits any additional details of the company.