AI Engineer

Randstad India

Job Location:

Gurgaon - India

Monthly Salary: Not Disclosed

Posted on: 30+ days ago

Vacancies: 1 Vacancy

Job Summary

We are seeking an AI Architect / Enterprise Architect to design govern and scale Agentic AI solutions that drive measurable productivity improvements across HR Finance Sales Services and Employee Experience functions.

This role will lead the enterprise architecture agent orchestration strategy and platform design for AI-powered workflows autonomous agents copilots and decision-support systems ensuring alignment with business outcomes security compliance and enterprise standards.

You will work closely with business leaders product teams data engineering security and IT to translate enterprise use cases into production-grade agentic AI systems.
Key Responsibilities
Enterprise & AI Architecture

Define the enterprise architecture for Agentic AI platforms including LLMs AI agents tools workflows memory orchestration and observability
Design scalable architectures for multi-agent systems human-in-the-loop workflows and autonomous task execution
Establish reference architectures patterns and guardrails for AI productivity use cases
Align AI architecture with enterprise IT data security and cloud strategies

Required Qualifications
Technical Expertise

Strong experience in enterprise architecture solution architecture or AI architecture
Hands-on knowledge of Agentic AI concepts (autonomous agents planning tool use memory orchestration MCP)
Experience with LLMs and GenAI platforms (OpenAI Azure OpenAI AWS Bedrock Google open-source models)
Expertise in RAG architectures vector databases and knowledge systems
Solid understanding of cloud-native architectures (AWS Azure GCP)

Enterprise Systems & Productivity

Experience integrating AI with HR Finance Sales and Service platforms
Understanding of enterprise workflows business processes and productivity metrics
Strong API MCP microservices and integration design experience

Architecture & Governance

Experience defining architecture standards reference models and governance frameworks
Knowledge of security identity access control and data privacy in AI systems
Ability to balance innovation with enterprise risk and compliance

Preferred Qualifications

Experience delivering AI productivity transformations at enterprise scale
Familiarity with agent frameworks (MCP LangGraph AutoGen CrewAI Semantic Kernel etc.)
Experience with AI tools and observability
Background in enterprise transformation programs