Project Lead-App Development

Birlasoft • IT Consulting & Digital Transformation • Enterprise Apps Implementation Partners • Python • 4 days ago
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Location
In office (Pune)
Seniority
Staff · 8+ years exp

Confirmed on the employer's own hiring board on Oct 12, 2026. First seen by Alion on Oct 8, 2026. Birlasoft scores A on the Alion truth index.

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Birlasoft

Birlasoft is an Indian IT services company, part of the CK Birla Group, that provides enterprise application implementation, cloud migration, digital engineering and data services. It works with SAP, Oracle, Salesforce and Microsoft platforms for manufacturing, life sciences, energy, utilities and financial services clients in North America, Europe and Asia. Its openings are largely for Salesforce developers and CPQ specialists in Pune, Bengaluru, Hyderabad and Noida. The company is headquartered in Noida, Uttar Pradesh, India.
birlasoft.com • HQ: Noida, India • Cloud Consulting & Migration • IT Consulting & Digital Transformation • Enterprise Apps Implementation Partners • 1001-5000 employees • Est. 1990
Tech stack of Birlasoft

Area(s) of responsibility

.

Role Overview:

We are seeking a highly skilled and motivated Generative AI Lead with 8+ years of experience to join our AI innovation team. The ideal candidate will have strong proficiency in Python, hands-on experience with Large Language Models (LLMs), and a deep understanding of AI agent orchestration frameworks. You will be responsible for designing, building, and optimizing GenAI workflows that drive intelligent automation and enhance user experiences.

Key Responsibilities:

  • Develop, integrate, and deploy AI-driven solutions using Python.
  • Work with LLM APIs such as OpenAI GPT, Anthropic Claude, or similar platforms.
  • Implement and manage AI agent frameworks like AutoGen or other orchestration tools.
  • Leverage Azure AI ecosystem, including Azure AI Search and cognitive services, to build scalable GenAI applications.
  • Design and experiment with GenAI workflows, ensuring performance, reliability, and scalability.
  • Collaborate with cross-functional teams to identify use cases and deliver impactful AI solutions.
  • Troubleshoot and resolve issues in AI pipelines with minimal supervision.
  • Document technical processes and contribute to knowledge sharing across the team.
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