Technical Architect - AI & Automation, Enterprise transformation

Metriqe Solutions; Chennai District; On-site; INR 2,500,000 - 5,000,000; Full time

Job summary

Metriqe Solutions in Chennai (Thoraipakkam) invites a hands-on Technical Architect with 7-10 years of experience in AI, agentic AI, AWS, Python, and enterprise automation to lead our internal transformation initiatives.

The role focuses on delivering scalable AI solutions and automation platforms while guiding technical teams and collaborating with business stakeholders.

You will architect data-driven applications, build AI agents, and ensure security and governance across projects.

Qualifications

• Hands-on technical architect with AI, agentic AI, and automation experience.
• Strong experience in AWS cloud, Python, and enterprise-scale solutions.
• Proven ability to lead technical teams and translate business needs into designs.
• Experience with security standards, architecture reviews, and governance.

Responsibilities

• Lead and mentor teams delivering internal transformation initiatives.
• Translate business requirements into architecture, designs, and roadmaps.
• Provide technical direction while guiding critical design decisions.
• Conduct architecture and code reviews; ensure security/engineering standards.
• Manage dependencies, risks, and cross-team delivery issues.
• Drive end-to-end projects from discovery to production stabilization.
• Architect and implement AI, automation, and knowledge platforms.
• Build AI agents, multi-agent workflows, and enterprise search.
• Develop cloud-native solutions with AWS, Python, and APIs.
• Design data integration pipelines and knowledge stores.
• Translate requirements into solution architectures and roadmaps.

Skills

Python

AWS Cloud

Agentic AI

AI agents

LLMs

LangChain

LangGraph

CrewAI

RAG

Vector DBs

Semantic search

APIs

Cloud-native arch

Data integration

Leadership

Job description

Technical Architect: AI, Agentic AI & Automation

Experience: 7-10 Years
Location: Chennai (Thoraipakkam)
Work Mode: Work from Office

Job Summary

We are looking for a hands-on technical architect with expertise in AI, agentic AI, AWS, Python, and enterprise automation to drive internal transformation initiatives. The ideal candidate will architect and deliver scalable AI solutions, automation platforms, and data-driven applications while leading technical teams and collaborating with business stakeholders.

Key Responsibilities

• Lead and mentor teams of software engineers and developers delivering internal transformation initiatives.
• Translate business requirements into architecture, technical designs, development plans, and implementation roadmaps.
• Provide technical direction while remaining involved in critical design and engineering decisions.
• Conduct architecture and code reviews and ensure adherence to engineering and security standards.
• Manage technical dependencies, risks, integration challenges, and delivery issues across multiple teams.
• Drive projects through the complete lifecycle from discovery and architecture through development, testing, deployment, adoption, and production stabilization.
• Design, architect, and implement enterprise-grade AI, agentic AI, automation, and knowledge management solutions.
• Build AI agents, multi-agent workflows, RAG applications, enterprise search capabilities, and knowledge platforms.
• Develop scalable cloud-native solutions using AWS, Python, APIs, and modern integration frameworks.
• Design and oversee data integration pipelines, knowledge stores, APIs, and enterprise data platforms.
• Translate business requirements into solution architectures, technical designs, development plans, and implementation roadmaps.

Required Skills

• Strong experience in Python and AWS Cloud.
• Hands-on experience in agentic AI, AI agents, LLMs, LangChain/LangGraph/CrewAI.
• Experience with RAG, vector databases, semantic search, and knowledge retrieval systems.
• Strong understanding of APIs, cloud-native architecture, and data integration.
• Experience leading technical teams and enterprise solution delivery. Preferred Skills
• AWS Solutions Architect Certification
• Experience with automation/RPA platforms.
• Exposure to DevOps, CI/CD, MLOps/LLMOps, and AI governance.