Company Name

GENPACT ( Gurgaon )

Job Description

• Job Description:
  • Inviting applications for the role ofSenior Manager-AI Architect
  • We are seeking a highly skilled AI Architect to design, develop, and oversee artificial intelligence (AI) and agentic solutions. You will be responsible for creating scalable AI architectures, integrating AI models/ agentic solutions into enterprise systems, and ensuring alignment with business objectives. This role requires deep technical expertise, strategic thinking, and the ability to work with cross-functional teams.
  Responsibilities:
  • AI Strategy & Architecture:
  • Design and implement AI/ML architectures that align with business goals.
  • Define best practices for AI model lifecycle management, including training, deployment, and monitoring.
  • Ensure Agentic solutions are scalable, secure, and efficient for enterprise deployment.
  • AI Development & Integration.
  • Select the right AI frameworks, tools, and platforms for business needs.
  • Oversee the development and integration of AI models into enterprise applications.
  • Collaborate with data scientists and engineers to optimize AI models for performance and accuracy.
  • Governance & Compliance.
  • Establish AI governance frameworks to ensure ethical and responsible AI usage.
  • Ensure compliance with data privacy laws (e.g., GDPR, CCPA) and industry regulations.
  • Implement robust AI security measures to protect against adversarial attacks.
  • Collaboration & Leadership.
  • Work closely with business leaders, IT teams, and data science teams to translate requirements into AI solutions.
  • Lead and mentor AI developers
  • Stay updated with the latest AI trends and drive innovation in AI adoption within the organization.
  Skills:
  • Expertise in machine learning, deep learning, and NLP (TensorFlow, PyTorch, Hugging Face, etc.).
  • Fine-tuning and Prompt Engineering - Optimizing LLMs like GPT-4, LLaMA, Claude, and Gemini for agentic behavior.
  • Retrieval-Augmented Generation (RAG) - Integrating LLMs with knowledge bases for real-time decision-making.
  • Agentic Frameworks- Proficiency inLangChain,AutoGPT,BabyAGI, orCrewAIfor building autonomous agents.
  • Strong knowledge of cloud AI platforms (AWS, Azure AI, Google Vertex AI).
  • Proficiency in programming languages (Python, Java, R, etc.).
  • Understanding of MLOps practices for model deployment and monitoring.
  • Experience with API development and microservices architecture.
  • Strong analytical and problem-solving skills.
  • Excellent communication and stakeholder management abilities.
  • Ability to work in a fast-paced, cross-functional environment.

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