Job Description

Generative AI Architect/Lead

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Location: Hyderabad / Bangalore/ Chennai

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Experience: 7 to 14Years

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Notice period : Immediate to 60days

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Key Responsibilities

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- Strategic Leadership: Develop and communicate the generative AI vision and strategy, ensuring alignment with organizational objectives.
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- Architecture Design: Architect scalable systems for deploying generative AI applications, integrating them with existing technology stacks.
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- Technical Guidance: Provide leadership and mentorship to teams, promoting best practices in generative AI development and deployment.
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- Project Management: Oversee the end-to-end process of generative AI solutions from ideation through delivery and operationalization.
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- Collaboration: Work closely with stakeholders to identify opportunities for AI-driven solutions and streamline change management processes.
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- Performance Monitoring: Monitor, optimize, and troubleshoot production systems to maintain high performance of AI applications.
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- CI/CD Pipeline Management: Design and manage continuous integration and continuous deployment pipelines for generative AI solutions.
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- API Development: Define and deliver quality API access for various generative AI services.
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- Team Development: Recruit, mentor, and coach team members to foster a culture of continuous learning.
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Required Qualifications

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- Educational Background:Bachelor's degree with 8+ years of experience; or
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- Master's degree with 7+ years of experience; or
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- PhD with 3+ years of experience in relevant fields (e.g., Computer Science, Engineering).
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- Experience:Proven experience as an Enterprise Architect or Solution Architect focusing on AI/ML and generative AI technologies.
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Technical Skills:

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- Proficiency in programming languages such as Python, R, or Java.
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- Hands-on experience with machine learning frameworks like TensorFlow, PyTorch, and libraries for deep learning.
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- Solid understanding of generative AI techniques, including deep generative models and reinforcement learning.
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- Expertise in CI/CD pipeline design and management, particularly in the context of generative AI.
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- Familiarity with cloud platforms (AWS, Azure) and containerization tools (Docker, Kubernetes).
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Data Management Skills:

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- Experience with data handling, including data cleansing, preprocessing, and storage solutions (e.g., Snowflake).
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Beneficial Skills

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- Knowledge of large language models (LLMs) such as Microsoft Azure OpenAI (e.g., ChatGPT).
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- Understanding of AI agents for decision-making and deployment of complex applications.
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- Experience in the commercial domain or specific industry knowledge (e.g., biopharmaceuticals).
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Soft Skills

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- Exceptional communication and collaboration abilities to work effectively with cross-functional teams.
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- Strong problem-solving skills combined with critical thinking to analyze complex challenges.
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- Ability to present findings and strategies clearly to leadership and stakeholders.
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📌 GenAI Architect (Hyderabad)
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