AI Architect

Wipro; Hyderabad, Chennai, Bengaluru; Hybrid; INR 4,000,000 - 6,500,000; Full time

Job summary

Wipro seeks an experienced professional to architect and implement enterprise-grade Agentic AI solutions for supply chain use cases in a demanding enterprise environment.

You will drive end-to-end development, collaborate with IT, product and research teams, and ensure secure, scalable integration across on-prem, cloud, or hybrid deployment models.

Qualifications

• 12+ years of experience in software architecture or enterprise platform engineering.
• Strong Python production-grade AI systems expertise; SQL and JSON.
• Proficiency in AI/ML systems, generative AI, or agentic AI frameworks.
• Experience with LLMs, RAG architectures, and agent orchestration frameworks (e.g., React patterns, LangChain-based systems, AutoGPT).
• Hands-on with vector databases, embeddings, and retrieval optimization for production workloads.
• Experience designing multi-agent communication and coordination patterns.
• Experience integrating ERP/CRM/ITSM with APIs, data connectors, or custom services.
• Strong analytical and business process modeling skills.
• Excellent collaboration and stakeholder influence across tech and business teams.

Responsibilities

• Develop and own enterprise-grade Agentic AI systems for Supply Chain use cases.
• Capture requirements and translate into user stories; drive end-to-end tests.
• Be hands-on in development of enterprise-grade Agentic AI solutions.
• Collaborate with IT, product, and research teams using LLMs and agentic frameworks.
• Ensure integration with IT and operations data sources and best platforms.
• Guide deployment models (on-prem, cloud, hybrid, containerized).
• Lead technical design reviews and document design decisions.
• Define agent autonomy boundaries and human-in-the-loop workflows.
• Design observability and evaluation frameworks (latency, accuracy, cost, failure modes, hallucination).

Skills

Python

SQL

JSON

Java

AI/ML systems

LLMs

RAG architectures

Agent orchestration

LangChain

AutoGPT

NeMo

AIQ

Vector databases

Embeddings

Retrieval optimization

Multi-agent patterns

ERP/CRM integration

Education

Bachelor's degree in Computer Science or related field

Tools

LangChain

AutoGPT

NVIDIA NeMo

AIQ

Job description

Role & responsibilities

What you will be doing:

• Develop and own enterprise-grade Agentic AI systems for Supply Chain use cases, including multi-agent architectures, orchestration frameworks, RAG pipelines, deployment, monitoring, and full lifecycle management.
• Capture design requirements, translate requirements into user stories, perform technical design, drive end to end integration testing, support data set up and issue remediation during UAT, manage development team activities, develop Hypercare support model
• Be hands on in development and implement enterprise grade Agentic AI Supply Chain solutions
• Partner with Enterprise IT engineering, product, and research teams while using LLMs, agentic frameworks, and NVIDIAs own NeMo and AIQ technologies.
• Ensure integration with enterprise IT and Operations data sources and Industries best Agentic platforms with strong content security focus.
• Drive architectural decisions across deployment models (on-prem, cloud, hybrid, containerized) to deliver scalable, reliable, and efficient solutions.
• Lead technical design reviews, develop technical design documentation, and follow principles of code development.
• Define agent autonomy boundaries, human-in-the-loop workflows, and escalation strategies for enterprise supply chain use cases.
• Design and implement agent observability and evaluation frameworks (latency, accuracy, cost, failure modes, and hallucination analysis).

Preferred candidate profile

• 12+ years of demonstrable experience in software architecture, systems design, or enterprise platform engineering.
• Strong hands-on expertise in Python for building production-grade AI systems, with experience in SQL, JSON, and backend service development (Java a plus)
• Demonstrate proficiency in AI/ML systems, generative AI, or agentic AI frameworks.
• Experience working with LLMs, RAG architectures, and agent orchestration frameworks such as React patterns, LangChain-based systems, and AutoGPT-style workflows.
• Hands‑on experience with vector databases, embeddings, and retrieval optimization, including indexing strategies, similarity search tuning, and relevance evaluation for production systems.
• Experience designing multi-agent communication and coordination patterns (planner/executor/critic, supervisor agents, etc.).
• Experience integrating enterprise platforms (e.g., ERP, CRM, ITSM) with APIs, data connectors, or custom services.
• Strong technical solution design, analytical skills, and the ability to perform technical and business process modeling
• Excellent collaboration skills with the ability to influence cross-functional stakeholders and build trusted partnerships.
• Ability to communicate complex architectural concepts clearly and inspire confidence across technical and business audiences.