Job Description

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

Job Tags

Remote job, Full time

Similar Jobs