Architect - Agentic AI

iOPEX Technologies; Chennai District; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

iOPEX Technologies is seeking an experienced Agentic AI Architect to lead enterprise AI strategy and architecture. You will engage with Fortune 500–style clients, map complex business processes to AI opportunities, and design scalable agentic AI solutions spanning discovery, ROI modeling, and multi-agent orchestration.

With 10–20 years of experience and 3+ years in AI/automation, you will guide executives and engineering teams, ensuring governance, security, and value delivery across large-scale

Qualifications

• 10–20 years total experience with at least 3+ years in AI, automation or digital transformation
• Hands-on experience building with agentic-AI frameworks and deploying enterprise-grade RAG structures
• Strong consulting and storytelling skills for executives
• Ability to model KPIs and cost-to-serve into tangible savings
• Experience integrating with enterprise platforms (Salesforce, SAP, Oracle, ServiceNow, Zendesk, etc.)

Responsibilities

• Engage with enterprise customers to map AI opportunities and break down complex processes
• Lead discovery workshops and craft ROI/cost-savings models for client leadership
• Translate business requirements into scalable agentic AI architectures
• Design multi-agent orchestration, memory, tool calling and RAG systems
• Select and integrate LLMs, vector stores and enterprise software for PoCs
• Define governance, security, observability and cost optimization requirements
• Present blueprints to CXO/VP level and guide engineering teams through delivery

Skills

Agentic AI

Client facing

Financial modeling

Ecosystem integration

LangChain/LangGraph

Tools

LangChain/LangGraph

AutoGen

CrewAI

Job description

iOPEX is a new-generation Digital Services provider delivering AI Engineering and AI Operations services. We help businesses scale operations, adapt to new demands, and keep costs in check — unlocking the true potential of every investment through deep domain expertise, data-driven strategies, and applied AI. Founded in 2009, the demand for our specialized optimization solutions has helped us grow to over 4,000+ employees since we began our journey.

At the core of our approach lies the synergy of human ingenuity and AI. By combining use-case driven data infrastructure, fine-tuned AI models, and targeted innovation, we help enterprises overcome operational bottlenecks and deliver measurable outcomes at every step.

What we do best:

• Reengineer workflows to remove friction and unlock efficiency.
• Integrate intelligent systems that scale with your business.
• Build adaptive frameworks that align with evolving needs.
• Turn complexity into clarity — so teams make smarter, faster decisions.

Our AI-driven support extends well beyond implementation, with a roadmap for continuous improvement that keeps your business ready for what's next. No wonder we boast a marquee list of Fortune 500 clients — each one 100% reference-able.

Website:

http://www.iopex.com

Role: Agentic AI Architect

Key Responsibilities:

As a domain-focused Solution Leader and AI Architect, your responsibilities seamlessly span the strategic and the technical lifecycles:

• Strategic Discovery: Engage directly with enterprise customers to break down complex processes, diagnose structural pain points, and map them directly to agentic AI opportunities.
• Value Modeling & Proposals: Lead discovery workshops and current-state assessments to define the overarching solution vision, crafting compelling business cases and ROI/cost-savings models for client leadership.
• Core Architecture Design: Translate complex business requirements into scalable, robust agentic AI architectures.
• Multi-Agent Orchestration: Design complex multi-agent systems encompassing advanced orchestration, planning, memory frameworks, tool/function calling, Retrieval-Augmented Generation (RAG), and strict guardrails.
• Technical Implementation & Prototyping: Select and integrate appropriate LLMs, vector stores, and enterprise software systems to build high-impact proof-of-concepts (PoCs) and reference designs.
• Governance & Compliance: Establish crucial non-functional requirements including system scalability, latency, data security, observability, cost-efficiency, and responsible-AI controls.
• Executive Technical Advisory: Present strategic blueprints and technical architecture trade-offs to senior client stakeholders (CXO/VP level) while guiding engineering teams through flawless delivery.

Must-Have Skills & Experience (Not limited to)

• Years of Experience: 10 – 20 years of total professional experience, with at least 3+ years directly focused on AI, automation, or digital transformation solutioning and architecture.
• AI Technical Prowess: Hands‑on experience building with modern agentic‑AI frameworks (e.g., LangChain/LangGraph, AutoGen, CrewAI), orchestrating LLMs, and deploying enterprise‑grade RAG structures.
• Consulting & Storytelling: Stellar client‑facing communication skills, with a proven track‑record of facilitating workshops, authoring proposals, and explaining complex architectural concepts to business executives.
• Financial & KPI Modeling: Ability to accurately model stream‑specific business metrics (such as cost-to-serve, revenue leakage, or deflection rates) into tangible, architecture‑driven savings.
• Ecosystem Integration: Architecture and integration experience with major enterprise platforms relevant to your domain (e.g., Salesforce, SAP, Oracle, ServiceNow, Zendesk, Genesys, Cloud hyper‑scalers, RPA engines like UiPath, or core Insurance platforms like Guidewire/Duck Creek).

Good-to-Have

• Prior experience working within a management consulting firm, Big-4 transformation practice, shared‑services environment, or a high‑growth SaaS business.
• Relevant industry or technical credentials, such as Cloud Architect certifications (AWS/Azure/GCP), TOGAF, Six Sigma process excellence, or insurance‑specific designations (LOMA, III, ACORD standards).
• Active contributions to open‑source AI/technical communities, or experience implementing process mining solutions.