Agentic AI Azure

Jumbo Consultants; Dadri, Chennai, Bengaluru; Híbrido; INR 3 000 000 - 5 200 000; Tempo integral

Resumo da oferta

Jumbo Consultants is seeking a Senior Engineer Agentic AI to design, build, and optimize AI-powered agent systems using Microsoft Foundry and AWS Bedrock. The role emphasizes Python development, GenAI architectures, and secure, scalable deployments.

The ideal candidate will have 9+ years in software engineering with hands-on AI/GenAI experience and familiarity with LLMs, embeddings, and RAG pipelines. Certifications in cloud/AI are preferred.

Qualificações

• 9+ years of hands-on software engineering experience with at least 1+ years in AI/GenAI engineering.

Responsabilidades

• Design, develop, and deploy agentic AI workflows, autonomous agents, and multi-agent systems.
• Build solutions leveraging Microsoft Foundry (Fabric, Azure AI Studio) for LLM orchestration, grounding, and controllability.
• Implement context management, memory, retrieval-augmented generation (RAG), and toolcalling workflows for agentic systems.
• Architect scalable, resilient, and secure AI systems using modern cloud-native principles.
• Develop high-quality, optimized code in Python with ML/GenAI frameworks.
• Drive performance tuning, latency optimization, cost optimization, and observability for GenAI workloads.
• Ensure AI security, data governance, responsible AI, and model safety; implement guardrails and prompt security measures.
• Evaluate and compare LLMs, embedding models, and multimodal models for enterprise use cases.

Conhecimentos

Python

LLMs

GenAI architectures

AI fundamentals

Agentic AI

Microsoft Foundry

Azure AI Studio

AWS Bedrock

APIs

Microservices

Security

Formação académica

Microsoft Azure AI Engineer

Azure Solutions Architect

AWS Machine Learning Specialty

Google Professional ML Engineer

Ferramentas

Microsoft Foundry

Fabric

Azure AI Studio

AWS Bedrock

Vector databases

RAG pipelines

Descrição da oferta de emprego

Role & responsibilities

Mandatory skill : Agentic AI + LLM, Python, AI/ML fundamentals, GenAI architectures+ Azure AI (Microsoft Foundry (Fabric, Azure AI Studio))

Role Overview

We are seeking a highly skilled Senior Engineer Agentic AI to design, build, and optimize advanced AI and agentic systems using Microsoft Foundry and/or AWS Bedrock. The ideal candidate will have strong expertise in Python, AI/ML fundamentals, GenAI architectures, and handson experience in deploying secure, scalable LLMpowered agents. Industry-recognized certifications in cloud, AI, or machine learning are preferred.

Experience and hands on with infrastructure services like landing zone , IaaS & PaaS workload with azure and or aws cloud services

Key Responsibilities

AI & Agentic Systems Development

• Design, develop, and deploy agentic AI workflows, autonomous decision-making agents, and multi-agent systems.
• Build solutions leveraging Microsoft Foundry (Fabric, Azure AI Studio) for LLM orchestration, grounding, and controllability.
• Implement context management, memory, retrieval-augmented generation (RAG), and toolcalling workflows for agentic systems.

Engineering & Architecture

• Architect scalable, resilient, and secure AI systems using modern cloud-native principles.
• Develop highquality, optimized code primarily in Python, leveraging modern ML and GenAI frameworks.
• Drive performance tuning, latency optimization, cost optimization, and observability for GenAI workloads.

Security & Compliance

• Ensure solutions follow enterprise-grade AI security, data governance, responsible AI, and model safety principles.
• Implement guardrails, content filters, prompt security measures, and evaluation frameworks to prevent hallucinations and injection attacks.

Modeling & Optimization

• Evaluate and compare LLMs, embedding models, and multimodal models for various enterprise use cases.
• Optimize model performance using techniques like quantization, distillation, prompt engineering, and fine-tuning (where applicable).

Collaboration & Leadership

• Partner with product teams, architects, and business stakeholders to translate requirements into robust technical AI solutions.
• Mentor junior engineers and contribute to establishing best practices, design patterns, and reusable accelerators.
• Stay updated with emerging trends in GenAI, LLMs, foundation models, and agentic automation.

Required Qualifications

• Ability to perform customer demonstration , lead use-case workshops
• 9+ years of hands-on experience in software engineering, with at least 1+ years in AI/GenAI engineering.
• Strong proficiency in Python, APIs, microservices, and cloud-native design.
• Demonstrated experience with LLMs, embeddings, vector databases, and RAG pipelines.
• Practical knowledge of AI fundamentals, ML algorithms, probability, optimization, and LLM architecture.
• Deep understanding of Agentic AI principles, agent design patterns, tool orchestration, and autonomous task execution.
• Experience with Microsoft Foundry (Azure AI Studio / Fabric) and/or AWS Bedrock for building GenAI applications.

Preferred Qualifications (Good to Have)

• Certifications such as:
• Microsoft Azure AI Engineer / Azure Solutions Architect
• AWS Machine Learning Specialty / Bedrock credentials
• Google Professional ML Engineer

Soft Skills

• Strong analytical and problemsolving abilities
• Ability to work in fast-paced, iterative, and collaborative environments
• Excellent communication and technical storytelling skills