We are seeking an experienced Application Architect to design and deliver enterprise-grade AI-enabled applications and reusable platform services. The ideal candidate will have robust expertise in Agentic AI, LLMs, RAG, and Python, with the ability to translate business requirements into scalable, secure, and practical solution architectures. This role involves close collaboration with engineering teams, architects, and client stakeholders to drive the successful implementation of AI-powered solutions.
Key Responsibilities
Architect and design AI-enabled applications and reusable services for enterprise client environments.
Define end-to-end solution architectures, including application design, data flows, integrations, security, deployment, and operational considerations.
Lead the design and implementation of Agentic AI, LLM, and RAG-based solutions.
Provide architectural guidance to engineering teams developing applications using Python.
Design intelligent workflows and AI-driven application patterns that support enterprise business objectives.
Evaluate client environments and recommend appropriate deployment approaches aligned with application and operational requirements.
Ensure solutions are secure, scalable, maintainable, and aligned with enterprise architecture standards.
Conduct architecture reviews and provide technical leadership throughout the solution lifecycle.
Collaborate with client stakeholders to explain architectural decisions, implementation approaches, and technical trade-offs.
Mentor development teams and promote engineering best practices for AI solution delivery.
Required Skills
Proficient
Agentic AI
LLMs
RAG
Python
Preferred Qualifications
Experience architecting enterprise-grade AI-enabled applications or platform solutions.
Strong understanding of AI-powered application design and implementation.
Experience engaging with client stakeholders and leading architectural discussions.
Ability to balance strategic architec