About The Role

We are looking for a hands-on AI Solution Architect who can act as the technical face of Antino's AI practice with enterprise clients and also build what is proposed.

You will lead technical discovery and pre-sales discussions, understand business challenges, design AI/GenAI/Agentic AI solutions, estimate effort, explain trade-offs and risks, and work closely with clients, sales, engineering, and data science teams.

This is not a slides-only role. You will build POCs, run demos, write code, define architecture, review production systems, and guide solutions from POC to production.

Key Responsibilities

• Pre-Sales & Client Solutioning :
• Lead technical discovery calls, workshops, RFP/RFI responses, proposals, SOWs, estimates, and ROI discussions.
• Translate business problems into practical AI/ML, GenAI, and Agentic AI solutions.
• Present solutions and technical trade-offs to CXOs, architects, security, data, and engineering teams.
• Build rapid POCs and demos to validate and de-risk solutions.
• Solution Architecture & Delivery :




• Design scalable AI architectures using LLMs, RAG, AI Agents, vector databases, embeddings, prompt/context engineering, and knowledge graphs.
• Select the right approach across classical ML, LLMs, fine-tuning, RAG, agents, or hybrid solutions.
• Build and deploy solutions across AWS, Azure, or GCP.
• Design APIs, data pipelines, model serving, enterprise integrations, and microservices.
• Build production-grade agentic systems including tool calling, multi-agent workflows, memory, human-in-the-loop, and agent hand-offs.
• Establish best practices for security, scalability, performance, observability, evaluation, reliability, and cost optimisation.
• AI Engineering & Team Enablement :
• Stay hands-on with Python, FastAPI, AI frameworks, LLM platforms, and cloud technologies.
• Guide engineering and data science teams from POC through production.
• Implement AI evaluation, monitoring, guardrails, and LLMOps practices.
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📌 Antino Labs (Gurugram)
🏢 Antino
📍 Gurugram