Talentmate
India
6th August 2026
2608-5662-1185
Description
About the Role & Team
We are seeking a Forward-Deployed AI Architect to help our enterprise customers radically accelerate and modernize their software delivery lifecycle. In this elite, high-impact role, you will embed directly with customer engineering teams to prove the value of AI-led engineering through hands-on architecture, agentic workflows, and measurable delivery outcomes.
This role is designed for senior architects and builders who sit at the intersection of core enterprise software architecture and cutting-edge AI engineering. You will help customers transition from traditional, ticket-bound Scrum cycles toward intent-driven, increasingly autonomous delivery models where AI tools, agents, and human governance seamlessly turn business intent into production-ready software.
Requirements
Candidate Profile: Qualifications & Experience
Must-Have Attributes
Experience: 15+ years of proven experience across software engineering, architecture, product/platform engineering, or solution architecture, backed by a strong track record of product-side delivery.
– SDLC Mastery: Deep, foundational understanding of enterprise software architecture, DevSecOps pipelines, Agile/Scrum frameworks, and the broader product lifecycle.
Hands-on AI Fluency: Direct, practical fluency with AI development tools, IDE-based AI assistants, agentic workflows, and AI-enabled software delivery. You must possess the ability to build, evaluate, and deeply explain working AI solutions.
Modern AI Tech Stack: Experience leveraging tools and frameworks such as Claude Code, Cursor, Windsurf, GitHub Copilot, LangChain, AutoGen, LlamaIndex, Semantic Kernel, MCP (Model Context Protocol), RAG, and vector databases.
Hands on in Retrieval Augmented Generation (RAG), Vector Databases, Evaluation Frameworks, Prompt Engineering, Tool Calling, Function Calling, Multi-agent orchestration, AI Observability
Good-to-Have Skills
Customer-Facing Excellence: Prior experience in high-touch, customer-facing technical roles (e.g., Forward-Deployed Engineer, Principal Solutions Architect, Field Engineer, or Pre-Sales Engineering Leader).
AI Governance & Security: A strong grasp of AI governance models, human-in-the-loop controls, responsible AI frameworks, observability, and production readiness for AI-enabled enterprise systems.
Job responsibilities
Key Responsibilities
| Role Level: | Not Applicable | Work Type: | Full-Time |
|---|---|---|---|
| Country: | India | City: | Chennai ,Tamil Nadu |
| Company Website: | http://www.globallogic.com | Job Function: | Data Science & AI |
| Company Industry/ Sector: |
Software Development | ||
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