Technical Architect

April 30, 2026

Job Description

We are looking for an experienced AI Architect to design, implement, and scale enterprise-grade AI solutions across industries such as BFSI, Retail, and Manufacturing. The role involves building advanced AI/ML and Generative AI systems, including Agentic AI workflows, while defining architecture standards and ensuring secure, scalable deployments.

You will be responsible for end-to-end solution architecture—from data ingestion and model development to deployment and monitoring. This role requires hands-on expertise in LLM-based systems, multi-agent orchestration, and cloud-based AI platforms, along with collaboration with pre-sales and delivery teams.


Requirements

  • 7–12 years of experience in software development, with at least 4+ years in AI/ML or AI architecture roles
  • Strong experience in designing AI/ML architectures and deploying enterprise AI solutions
  • Hands-on experience with Generative AI, LLMs, and RAG pipelines
  • Experience in building and managing multi-agent AI systems and workflows
  • Proficiency in Python and AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn)
  • Experience with cloud platforms such as AWS, Azure, or GCP
  • Strong understanding of data pipelines, MLOps, and model lifecycle management
  • Experience in integrating AI systems with enterprise applications (ERP, CRM, APIs)
  • Knowledge of AI governance, security, compliance, and data privacy practices
  • Ability to design scalable, secure, and high-performance architectures
  • Strong problem-solving, analytical, and communication skills
  • Willingness to travel when required

Skills

  • Python (AI/ML stack)
  • Generative AI and Large Language Models (LLMs)
  • RAG (Retrieval-Augmented Generation)
  • Prompt Engineering
  • Agentic AI frameworks (LangGraph, CrewAI, AutoGen)
  • LangChain / LlamaIndex
  • Vector Databases (Pinecone, FAISS, Weaviate)
  • Cloud Platforms (AWS, Azure, GCP)
  • MLOps and LLMOps
  • API Design and Microservices Architecture
  • SQL / NoSQL Databases
  • AI Governance, Security, and Compliance
  • Multi-agent orchestration and workflow automation