AI Architect - GO/JC/4943/2026

Golden Opportunities; Pune District; On-site; INR 3,000,000 - 7,000,000; Full time

Job summary

Golden Opportunities in Pune seeks an AI Architect to own end-to-end GenAI solution architecture for enterprise-scale applications. You will design AI agents, RAG pipelines, and multi-agent ecosystems, building scalable platforms with LLMs, vector stores, and orchestration frameworks.

You will lead PoC development, collaborate with engineering and security, and ensure production-grade deployments with observability and governance. Strong communicatie and delivery skills required.

Qualifications

• Qualification Mandatory: BE/B.Tech/MBA/BCA/MCA
• 15 years regular stream mandatory; distance education not accepted
• 6+ years total experience required

Responsibilities

• Define and own end-to-end AI solution architecture for enterprise-scale Generative AI applications.
• Design and implement AI Agents, RAG applications, and multi-agent ecosystems for complex business workflows.
• Architect scalable AI platforms leveraging LLMs, Vector Databases, autonomous agents, and orchestration frameworks.
• Build advanced GenAI solutions using LangGraph, LangChain, LlamaIndex, Semantic Kernel, and related frameworks.
• Design robust RAG pipelines involving document ingestion, chunking, embedding generation, vector indexing, retrieval, and response generation.
• Define MCP (Model Context Protocol), A2A (Agent-to-Agent) communication patterns, and multi-agent collaboration architectures.
• Establish AI evaluation frameworks to measure model accuracy, relevance, hallucination rates, latency, cost, and business impact.
• Develop prompt engineering strategies, context management techniques, AI guardrails, and responsible AI controls.
• Integrate AI applications with enterprise systems, APIs, databases, and external tools.
• Architect cloud-native AI solutions on Azure, AWS, and GCP platforms.
• Lead PoC development, technical discovery workshops, and client-facing solution discussions.
• Collaborate with engineering, security, infrastructure, and business teams to ensure production-grade AI deployments.
• Drive observability, monitoring, governance, performance optimization, and continuous improvement initiatives.
• Mentor development teams and establish AI architecture best practices across projects.

Skills

LLMs

RAG

AI Agents

Vector Databases

LangGraph

LangChain

LlamaIndex

Semantic Kernel

MCP

A2A

Multi-Agent Architectures

Prompt Engineering

AI Observability

LLM Evaluation Frameworks

Python

Azure OpenAI

AWS Bedrock

Google Vertex AI

Docker

Kubernetes

CI/CD

Education

BE/B.Tech/MBA/BCA/MCA

Tools

Docker

Kubernetes

CI/CD

FastAPI

Job description

Job Details

Job Title: AI Architect

Job Location: Pune

Total Experience and Relevant Experience – 6+ Years

Candidate Location : Pune

Skills – LLMs, RAG, AI Agents, Vector Databases, LangGraph, LangChain, LlamaIndex, Semantic Kernel, MCP, A2A, Multi-Agent Architectures, Prompt Engineering, AI Observability, AI Evaluation Frameworks (Evals), FastAPI, REST APIs, Python, Azure OpenAI, AWS Bedrock, Google Vertex AI, Docker, Kubernetes, CI/CD, Enterprise GenAI Solutions.

Candidate Industry (BPO / KPO / GBS / GCC / GSS / Captive Shared Services)

Diversity – N/A

Education and Certification

Qualification: Mandatory: BE/B.Tech/MBA/BCA/MCA

Specific Remarks: Distance education not accepted, 15 years regular stream mandatory, etc.

Detailed Job Description

Key Responsibilities

• Define and own end-to-end AI solution architecture for enterprise-scale Generative AI applications.
• Design and implement AI Agents, RAG applications, and multi-agent ecosystems for complex business workflows.
• Architect scalable AI platforms leveraging LLMs, Vector Databases, autonomous agents, and orchestration frameworks.
• Build advanced GenAI solutions using LangGraph, LangChain, LlamaIndex, Semantic Kernel, and related frameworks.
• Design robust RAG pipelines involving document ingestion, chunking, embedding generation, vector indexing, retrieval, and response generation.
• Define MCP (Model Context Protocol), A2A (Agent-to-Agent) communication patterns, and multi-agent collaboration architectures.
• Establish AI evaluation frameworks to measure model accuracy, relevance, hallucination rates, latency, cost, and business impact.
• Develop prompt engineering strategies, context management techniques, AI guardrails, and responsible AI controls.
• Integrate AI applications with enterprise systems, APIs, databases, and external tools.
• Architect cloud-native AI solutions on Azure, AWS, and GCP platforms.
• Lead PoC development, technical discovery workshops, and client-facing solution discussions.
• Collaborate with engineering, security, infrastructure, and business teams to ensure production-grade AI deployments.
• Drive observability, monitoring, governance, performance optimization, and continuous improvement initiatives.
• Mentor development teams and establish AI architecture best practices across projects.

Key Skills : Mandatory Key Skills:

• Strong expertise in Python, AI/ML, and Generative AI solution architecture.
• Hands-on experience with LLMs, RAG, AI Agents, and Vector Databases.
• Expertise in LangGraph, LangChain, LlamaIndex, Semantic Kernel, or equivalent frameworks.
• Strong understanding of Prompt Engineering, AI Observability, and LLM Evaluation Frameworks (Evals).
• Experience designing MCP, A2A, and Multi-Agent Architectures.
• Proficiency with REST APIs, FastAPI, Git, and Microservices-based integrations.
• Experience with Azure OpenAI, AWS Bedrock, Google Vertex AI, or similar AI platforms.
• Strong knowledge of Docker, Kubernetes, CI/CD, and cloud-native deployments.
• Experience implementing enterprise-scale GenAI solutions in production environments.
• Strong architecture, stakeholder management, and client-facing communication skills.
• Ability to work in ambiguous environments and rapidly transform business requirements into scalable AI solutions.
• Experience with AI governance, security, compliance, and responsible AI practices.
• Exposure to regulated industries such as Healthcare, Life Sciences, Banking, or Manufacturing is preferred.

Good to Have Skills

N/A