Role Summary
We are seeking an experienced Technical Architect with 12+ years of experience to lead the architecture, design, and implementation of scalable enterprise applications and cutting-edge Generative AI solutions.
The ideal candidate is hands-on across multi-stack backend environments (Java, Python, .NET Core), modern frontend frameworks (Angular/TypeScript), robust database ecosystems, and modern AI paradigms (LLMs, RAG, Vector Databases, AI Agents).
Key Responsibilities
Enterprise Architecture: Design and architect scalable, secure, high-performance full-stack enterprise applications and microservices.
Hands-on Multi-Stack Development: Provide technical leadership and hands-on guidance across Java, Python, and .NET / .NET Core.
Modern Frontend Architecture: Architect responsive, high-performance user interfaces using Angular, TypeScript, JavaScript, HTML5, and CSS3.
API & Integration Architecture: Design RESTful APIs, microservices, backend services, and enterprise integration patterns.
Database & Data Modeling: Work with relational and NoSQL databases, including MongoDB, SQL Server, Oracle, and PostgreSQL.
Generative AI Integration: Architect and build Generative AI solutions incorporating LLMs, Retrieval-Augmented Generation (RAG), Embeddings, Vector Databases, Prompt Engineering, and AI Agents.
AI-Enterprise Integration: Define and execute integration patterns connecting GenAI pipelines with existing enterprise applications and core APIs.
Architecture Governance: Establish technical standards, design patterns, reusable component libraries, and coding best practices.
Code & Architecture Reviews: Conduct rigorous architectural reviews, design audits, and code reviews while mentoring engineering teams.
Cloud & DevOps Alignment: Support cloud-based deployments, modernization efforts, continuous integration, and CI/CD/DevOps practices.
Stakeholder Collaboration: Partner with product managers, business analysts, security teams, and engineering leads to turn requirements into resilient technical architectures.
Required Skills & Qualifications
Experience: 12+ years in software engineering and enterprise solution architecture.
Core Backend Stack: Java, Python, .NET / .NET Core.
Frontend Technologies: Angular, TypeScript, JavaScript, HTML5, CSS3.
API & Microservices: REST APIs, Microservices Architecture, API Gateways, System Integrations.
Databases (SQL & NoSQL): MongoDB, PostgreSQL, MS SQL Server, Oracle.
Generative AI & Machine Learning:
Large Language Models (LLMs)
Retrieval-Augmented Generation (RAG)
Vector Databases (e.g., Pinecone, Milvus, Qdrant, Chroma)
Embeddings & Prompt Engineering
Autonomous AI Agents & Frameworks (LangChain, LlamaIndex, AutoGen, etc.)
Cloud & DevOps: AWS / Azure / Google Cloud Platform, CI/CD Pipelines, Docker, Kubernetes, DevOps practices.
