Ai & enterprise application architect

Job Title: AI & Enterprise Application Architect About the Role We are looking for a highly skilled Architect who can lead the design and delivery of both AI-powered systems (including Agentic AI and Gen AI applications) and enterprise Line-of- Business (Lo B) applications. This role requires a visionary leader who combines deep technical expertise with business understanding, capable of designing end-to-end solutions, recommending the right infrastructure, and building strong engineering teams. You will be responsible for rapid Proof of Concept (Po C) creation, guiding the transition to production-grade systems , and ensuring timely, high-quality delivery. Key Responsibilities AI & Agentic System Architecture Architect Agentic AI systems , including LLM orchestration, workflows, RAG pipelines, and automation. Evaluate and adopt modern AI frameworks, ensuring scalability and performance. Lo B Application Architecture Independently architect enterprise-grade applications aligned with business needs. Translate business workflows into scalable, secure, and maintainable technical solutions. Infrastructure Strategy (AI + Gen AI Focus) Assess and recommend infrastructure requirements specific to AI/Gen AI applications , including: GPU clusters and accelerators for model training/inference. Vector databases, caching, and data pipelines for RAG workloads. Scalable storage and high-throughput networking for large model handling. Containerization (Docker, Kubernetes) for AI service orchestration. Cloud-native AI services (AWS Bedrock, Azure Open AI, GCP Vertex AI) when suitable. Balance performance, cost-efficiency, and security for AI and enterprise systems. Rapid Po C → Production Delivery Work closely with stakeholders to understand business requirements . Be proactive and fast in building Po Cs to validate ideas. Convert Po Cs into production-ready deliverables across AI and non-AI domains. Team Leadership & Delivery Build, mentor, and scale high-performing engineering teams. Drive scrums, sprint planning, and agile delivery practices . Ensure on-time, quality-driven delivery of all initiatives. Engineering Excellence Establish and enforce core engineering practices (CI/CD, testing, code reviews, documentation). Collaborate across teams to ensure alignment of technical design with business strategy. Requirements 10+ years of experience in software engineering, with 5+ years in architecture leadership roles . Strong background in AI/ML systems and enterprise software architecture . Hands-on expertise in: o  Frontend : React / React Native (for both web and mobile applications). o  Backend : Node.js, APIs, microservices architecture. o  Mobile App Architecture : Android/i OS app delivery, integration with enterprise backends. o  Cloud platforms (AWS, Azure, GCP) o  GPU infra for AI/Gen AI (NVIDIA A100/A6000 clusters, model serving stacks) o  Databases (SQL/No SQL, vector databases like Pinecone/Weaviate/FAISS) o  APIs, microservices, containerization (Docker, Kubernetes) Proven ability to design Lo B applications independently . Experience in rapid Po C creation → production transition . Strong business understanding; ability to translate business needs into scalable systems. Excellent leadership, collaboration, and communication skills. Nice to Have Experience with LLM orchestration tools (Lang Chain, Llama Index, Auto Gen, etc.). Exposure to enterprise CRM/ERP/CCaa S solutions . Prior experience delivering AI + business applications in large enterprise environments. Why Join Us? Lead architecture for both AI-driven systems and Lo B applications . Work on cutting-edge AI adoption while ensuring strong enterprise system design. Build and mentor your own team, shaping the future of enterprise transformation. Own the full cycle from Po C → enterprise-grade delivery across multiple domains.