TECHNICAL ARCHITECT – AI APPLICATIONS

Full-Time / Bangalore Noida / / Digital Technologies

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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.
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