About Birlasoft:-

Birlasoft, a global leader at the forefront of Cloud, AI, and Digital technologies, seamlessly blends domain expertise with enterprise solutions. The company’s consultative and design-thinking approach empowers societies worldwide, enhancing the efficiency and productivity of businesses. As part of the multibillion-dollar diversified CKA Birla Group, Birlasoft with its 12,000+ professionals, is committed to continuing the Group’s 170-year heritage of building sustainable communities.

Job Description: Senior Engineer – Agentic AI

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 robust expertise in Python, AI/ML fundamentals, GenAI architectures, and hands‑on experience in deploying secure, scalable LLM‑powered 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) or AWS Bedrock for LLM orchestration, grounding, and controllability.
- Implement context management, memory, retrieval-augmented generation (RAG), and tool‑calling workflows for agentic systems.

Engineering & Architecture
- Architect scalable, resilient, and secure AI systems using modern cloud-native principles.
- Develop high‑quality, 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, respons

📌 Software Engineer (Nashik)
🏢 Birlasoft
📍 Nashik