About the role
The ideal candidate will have deep expertise in Generative AI, Large Language Models (LLMs), AI agents, RAG, cloud AI platforms, and enterprise solution architecture. This position requires a hands-on technology leader who can translate business requirements into scalable, secure, and production-ready AI solutions. Key Responsibilities * Architect and lead end-to-end AI and Generative AI solutions across enterprise applications. * Design solutions leveraging LLMs, RAG, AI agents, embeddings, vector databases, and prompt engineering. * Define enterprise AI architecture standards, patterns, and technology roadmaps. * Evaluate AI use cases and recommend appropriate models, platforms, frameworks, and architecture approaches. * Integrate AI solutions with enterprise applications, APIs, databases, and cloud platforms. * Lead architecture reviews, technical design sessions, and AI proof-of-concepts. * Work closely with business stakeholders, engineering teams, and senior leadership to translate business needs into technical solutions. * Establish best practices for AI security, governance, responsible AI, data privacy, scalability, and performance. * Provide technical leadership and mentorship to engineering and AI development teams. * Drive AI solutions from initial concept and POC through production implementation.
Required Qualifications * Extensive experience in Solution Architecture, Enterprise Architecture, or AI Architecture. * Strong hands-on experience designing Generative AI and LLM-based solutions. * Deep understanding of RAG, AI agents, embeddings, vector databases, prompt engineering, and LLM application architecture. * Experience with cloud AI platforms such as Azure AI / Azure OpenAI, AWS, or Google Cloud AI. * Strong experience with Python, APIs, microservices, databases, and cloud-native architecture. * Experience architecting secure and scalable enterprise applications. * Knowledge of MLOps/LLMOps, model evaluation, monitoring, and deployment. * Strong understanding of AI governance, responsible AI, security, and data privacy. * Excellent communication, technical leadership, and stakeholder-management skills. * Ability to communicate complex AI concepts to both technical and non-technical stakeholders.
Preferred Qualifications * Experience building enterprise AI copilots, intelligent assistants, and agentic AI solutions. * Experience taking GenAI solutions from POC to enterprise production environments. * Knowledge of enterprise search and vector database technologies. * Experience driving AI technology strategy and architecture decisions. * Relevant Cloud, AI, or Solution Architecture certifications are preferred.
Rate range -$140k-$145k