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
