AI & Enterprise Application Architect

Job Title: AI & Enterprise ApplicationArchitect 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 GenAI applications) and enterprise Line-of- Business (LoB) 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 rapidProof of Concept (PoC) creation, guiding the transition to production-grade systems, and ensuring timely, high-quality delivery. Key Responsibilities AI & Agentic System Architecture ArchitectAgentic AI systems, including LLM orchestration, workflows, RAG pipelines, and automation. Evaluate and adopt modern AI frameworks, ensuring scalability and performance. LoB Application Architecture Independently architectenterprise-grade applicationsaligned with business needs. Translate business workflows into scalable, secure, and maintainable technical solutions. Infrastructure Strategy (AI + GenAI Focus) Assess and recommendinfrastructure requirements specific to AI/GenAI 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 OpenAI, GCP Vertex AI) when suitable. Balanceperformance, cost-efficiency, and securityfor AI and enterprise systems. Rapid PoC → Production Delivery Work closely with stakeholders tounderstand business requirements. Beproactive and fast in building PoCsto validate ideas. Convert PoCs intoproduction-ready deliverablesacross AI and non-AI domains. Team Leadership & Delivery Build, mentor, and scale high-performing engineering teams. Drivescrums, sprint planning, and agile delivery practices. Ensureon-time, quality-driven deliveryof all initiatives. Engineering Excellence Establish and enforcecore engineering practices(CI/CD, testing, code reviews, documentation). Collaborate across teams to ensure alignment of technical design with business strategy. Requirements 10+ yearsof experience in software engineering, with 5 + years in architecture leadership roles. Strong background inAI/ML systemsandenterprise software architecture. Hands-on expertise in: oFrontend: React / React Native (for both web and mobile applications). oBackend: Node.js, APIs, microservices architecture. oMobile App Architecture: Android/iOS app delivery, integration with enterprise backends. oCloud platforms(AWS, Azure, GCP) oGPU infra for AI/GenAI(NVIDIA A100/A6000 clusters, model serving stacks) oDatabases(SQL/NoSQL, vector databases like Pinecone/Weaviate/FAISS) oAPIs, microservices, containerization (Docker, Kubernetes) Proven ability todesign LoB applications independently. Experience inrapid PoC creation → production transition. Strong business understanding; ability to translate business needs into scalable systems. Excellent leadership, collaboration, and communication skills. Nice to Have Experience withLLM orchestration tools(LangChain, LlamaIndex, AutoGen, etc.). Exposure toenterprise CRM/ERP/CCaaS solutions. Prior experience deliveringAI + business applicationsin large enterprise environments. Why Join Us? Lead architecture forboth AI-driven systems and LoB applications. Work oncutting-edge AI adoptionwhile ensuring strong enterprise system design. Build and mentor your own team, shaping the future of enterprise transformation. Own thefull cycle from PoC → enterprise-grade deliveryacross multiple domains.