TECHNICAL ARCHITECT AI APPLICATIONS

Role Overview We are looking for an experienced Technical Architect to lead the design and delivery of enterprise-grade AI applications built using a modern stack: React front-end, FastAPI Python backend, AI Agents built on LangGraph, hosted on platforms like Databricks or AI Foundry, and integrated with cloud-native services and third-party enterprise systems. The ideal candidate will drive the end-to-end architecture, technology decisions, and engineering excellence across multiple customer engagements. Responsibilities Architectural Leadership Engage with clients across all phases of product lifecycle: business discovery, requirements capture, high-level architecture, detailed design, development oversight, deployment, and rollout. Define and own overall solution architecture covering web, backend microservices, AI agents, data platform, and enterprise integrations . Translate business goals into non-functional and technical requirements (security, scalability, data privacy, integration patterns, observability, performance, compliance). Advise on feasibility trade-offs, technical options, and implementation roadmap; drive key architectural decisions. AI + Platform Solutions Design and architect distributed LLM-based and Agent-based applications (LangGraph/Agents) integrating with private data and enterprise systems. Architect high-performance applications leveraging Databricks, AI Foundry, Vector Databases (e.g., Milvus, Pinecone, Chroma), Embeddings stores, Model serving endpoints, and event-driven AI pipelines. Ensure data pipeline integration for AI, including ingestion, metadata management, governance, data quality, and security controls. Application & Integration Architecture Design microservices using FastAPI (Python) with React front-end applications. Define integration architecture using REST APIs, GraphQL, Webhooks, event frameworks (Kafka, EventBridge, Service Bus), RPA connectors, or enterprise middleware. Ensure solutions meet enterprise security standards: identity, RBAC, network segmentation, encryption, secrets management, API governance, and relevant data regulations. Project Governance & Oversight Review and approve technical implementation, code quality, and platform configuration. Supervise engineering and MLOps teams; provide guidance on best coding practices, CI/CD automation, and deployment patterns. Foresee delivery risks associated with architecture; proactively align scope, time, and resource constraints with stakeholders. Communicate architecture vision, costs, risks, and status clearly to CXOs, business leaders, and delivery teams. Qualifications & Experience The ideal candidate will have a Bachelor s or Master s degree in Computer Science, Information Technology, or Software Engineering with 12+ years of experience in architecture and technical leadership, and: Technical Skills Proven experience architecting end-to-end distributed applications with: React, FastAPI (Python), Microservices, Postgres/NoSQL/Vectors, Kubernetes/Serverless Event-driven architectures and enterprise integrations Expertise in AI Agent frameworks (LangGraph required); experience building or orchestrating multi-agent systems a strong plus. Experience with building and scaling AI workloads on Databricks, AI Foundry, Azure OpenAI, AWS Bedrock, or similar platforms. Strong experience in designing LLM-powered applications, prompt pipelines, retrieval augmented generation (RAG), orchestration, vector storage, and multimodal extensions. Hands-on knowledge of cloud deployment architecture (Azure or AWS) including: Networking & security Serverless compute, Kubernetes, managed datastores Monitoring, logging, and cost optimization Proven experience in Domain-Driven Design (DDD), data modeling, API standards design, and integration strategy. Building workflow based applications. Coding expertise in Python and working understanding of JavaScript/TypeScript. Preferred Knowledge MLOps, CI/CD for AI models, observability, lineage tracking, regulatory compliance for data & AI. Knowledge of enterprise authentication (OAuth, SSO, SCIM), security frameworks (Zero Trust, SOC2, ISO27001). Knowledge of any workflow engine like LogicApps or any BPMN engine is preferred. Soft Skills Ability to lead diverse engineering teams and mentor junior engineers. Comfortable working in ambiguity and emerging technology areas. Strong communication skills capable of explaining deep technology to business stakeholders. High ownership, autonomy, and creativity; a mindset to learn fast and innovate. Collaborative, consultative working style with strong stakeholder management. Must Have 12+ years of experience Front end architecture (React preferred, but angular, svelte etc. is also fine) Server side architecture: Python based API ( FastAPI preferred, other frameworks like flask is also fine) Building AI Applications on LLM Must have worked for US / Europe based customers Must have priorior architecture experience Good knowledge of creating application architecture on AWS or Azure.