Gen AI Architect

2 days ago

Bengaluru Delhi NCR Pune, India Xebia It Architects Full time

About Xebia

Xebia is a trusted advisor in the modern era of digital transformation, serving hundreds of leading brands worldwide with end-to-end IT solutions. The company has experts specializing in technology consulting, software engineering, AI, digital products and platforms, data, cloud, intelligent automation, agile transformation, and industry digitization. In addition to providing high-quality digital consulting and state-of-the-art software development, Xebia has a host of standardized solutions that substantially reduce the time-to-market for businesses.

Xebia also offers a diverse portfolio of training courses to help support forward-thinking organizations as they look to upskill and educate their workforce to capitalize on the latest digital capabilities. The company has a strong presence across 16 countries with development centres across the US, Latin America, Western Europe, Poland, the Nordics, the Middle East, and Asia Pacific.

Job Title: Genrative Architect

Exp: 10+ yrs

Location: Bengaluru, Chennai, Gurgaon & Pune

Job Summary:

We are seeking a highly skilled Generative AI Architect with hands-on experience in developing and deploying cutting-edge AI solutions using AWS, Amazon Bedrock, and agentic AI frameworks. The ideal candidate will have a strong background in machine learning and prompt engineering, with a passion for building intelligent, scalable, and secure GenAI applications.

Key Responsibilities:

  • Design & Developer Architectur for Generative AI models and pipelines for real-world use cases.
  • Build and optimize solutions using AWS / Azure AI/ML services, including Amazon Bedrock, Azure SageMaker, and related cloud-native tools.
  • Develop and orchestrate Agentic AI systems, integrating autonomous agents with structured workflows and dynamic decision-making.
  • Collaborate with cross-functional teams including data scientists, cloud engineers, and product managers to translate business needs into GenAI solutions.
  • Implement prompt engineering, fine-tuning, and retrieval-augmented generation (RAG) techniques to optimize model performance.
  • Ensure robustness, scalability, and compliance in GenAI workloads deployed in production environments.

Required Skills & Qualifications:

  • Strong experience with Generative AI models (e.g., GPT, Claude, Mistral, etc.)
  • Hands-on experience with Amazon Bedrock and other AWS AI/ML services.
  • Proficiency in building and managing Agentic AI systems using frameworks like LangChain, AutoGen, or similar.
  • Solid understanding of cloud-native architectures and ML Ops on AWS.
  • Proficiency in Python and relevant GenAI/ML libraries (Transformers, PyTorch, LangChain, etc.)
  • Familiarity with security, cost, and governance best practices for GenAI on cloud.

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