We are looking for a candidate with the following key capabilities and experience:
Minimum 5 years of experience in architecting and implementing technology/AI solutions.
Strong cloud-agnostic architecture experience with good hands-on understanding of AWS, Microsoft Azure, and Google Cloud Platform (GCP).
Strong understanding of Generative AI and LLM ecosystems, particularly OpenAI and Anthropic.
Ability to understand and translate client business and technical requirements into scalable, secure, and cost-effective solution architectures.
Proven capability to design end-to-end AI/cloud solutions, including architecture, technology selection, integration, security, scalability, and deployment considerations.
Should be capable of taking ownership as a Lead Engineer during the implementation phase, working closely with development and engineering teams.
Robust client-facing and stakeholder management skills, with the ability to participate in technical discussions, solution workshops, and architecture presentations.
Experience in POCs/pilots and production implementation of AI/GenAI solutions would be highly preferred.