Artificial Intelligence Architect

Hope you are doing good.

An exciting opportunity to join a fast-growing AI product engineering company, architect enterprise-scale AI platforms, and lead the next generation of Generative AI, Agentic AI, and Intelligent Automation solutions.

Job Title: AI Architect (8-13 Years)

Location: Hyderabad (On-site/Hybrid)
Joining: Immediate

Role Overview

We are looking for an experienced AI Architect to lead the design and delivery of enterprise-grade AI platforms powered by Large Language Models (LLMs), Agentic AI, Machine Learning, MLOps, and Intelligent Automation. You will be responsible for architecting scalable AI solutions, designing multi-agent systems, building advanced RAG pipelines, and driving AI adoption across enterprise products. This role requires deep technical expertise, strong architectural thinking, and leadership experience in building production-ready AI systems.

Responsibilities

• Design scalable enterprise AI architectures for Generative AI, Agentic AI, and Intelligent Automation platforms.
• Architect LLM-based applications using OpenAI, Claude, Gemini, Llama, Mistral, DeepSeek, and open-source models.
• Design advanced RAG pipelines including chunking, embeddings, vector databases, semantic search, and retrieval optimization.
• Build multi-agent AI systems with planning, reasoning, memory, orchestration, and human-in-the-loop workflows.
• Design AI-powered automation solutions integrating enterprise applications, APIs, ERP, CRM, and internal platforms.
• Architect autonomous browser agents using Playwright for intelligent web navigation, crawling, requirement discovery, and AI-powered testing.
• Build scalable Machine Learning pipelines, model deployment strategies, and production inference services.
• Establish MLOps and LLMOps practices including model versioning, evaluation, monitoring, observability, and CI/CD.
• Design cloud-native AI infrastructure using Docker, Kubernetes, AWS, Azure, or Google Cloud.
• Mentor AI engineers, define AI engineering standards, and drive technical roadmap across multiple AI initiatives.

Good to Have

• Experience with LangChain, LangGraph, LlamaIndex, Semantic Kernel, CrewAI, AutoGen, or OpenAI Agents SDK.
• Experience with Vector Databases such as Pinecone, Weaviate, pgvector, Milvus, ChromaDB, or FAISS.
• Strong knowledge of AI Guardrails, AI Evaluation, Function Calling, Structured Outputs, and Prompt Engineering.
• Experience building AI browser automation using Playwright, Selenium, Puppeteer, or Browser MCP.
• Experience with MLflow, Kubeflow, Airflow, Docker, Kubernetes, GitHub Actions, Azure DevOps, or Jenkins.
• Experience with AWS Bedrock, Azure OpenAI, Google Vertex AI, Hugging Face, Ollama, or vLLM.
• Exposure to multimodal AI, OCR, document intelligence, knowledge graphs, AI governance, and Responsible AI.
• Experience building enterprise AI platforms, autonomous AI agents, and production-grade AI applications at scale.

Benefits

At Adaps, we believe our people are our greatest asset and we pride ourselves on cultivating a supportive and modern working environment while providing you with the tools you need to succeed.

• Join a fast-growing AI-native product company.
• Build enterprise-scale Generative AI and Agentic AI platforms.
• Opportunity to work on cutting-edge AI technologies.
• Genuine career growth and technical leadership opportunities.
• Rewards and Recognition.
• Collaborative engineering culture with continuous learning.