Generative AI Architect
1 month ago
Location: Hyderabad, Noida, Bangalore, Chennai
Experience: Overall 13+ year in IT. 3 Yrs+ in AI/ML and Gen AI on Microsoft Azure platform
Job Summary: We are looking for an experienced Generative AI Architect with a strong background in cloud platforms. The ideal candidate will have extensive experience in designing and implementing AI solutions, with a focus on generative models. The candidate should be proficient in cloud platforms such as Azure, AWS, GCP, or IBM Watsonx, and have a deep understanding of AI and ML technologies.
Key Responsibilities:
Design and architect generative AI solutions to meet business requirements.
Lead the development and deployment of AI models on cloud platforms.
Collaborate with cross-functional teams to integrate AI solutions into existing systems.
Conduct research and stay updated with the latest advancements in AI and ML technologies.
Provide technical leadership and mentorship to the AI development team.
Optimize AI models for performance, scalability, and accuracy.
Ensure the implementation of best practices in AI and ML development.
Work closely with stakeholders to understand business needs and translate them into technical solutions.
Qualifications:
Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
13+ years of overall IT experience with at least 5 years in AI & ML technologies.
Strong proficiency in cloud platforms such as Azure, AWS, GCP, or IBM Watsonx.
Deep understanding of AI and ML technologies, including deep learning, NLP, and computer vision.
Hands-on experience in designing and architecting Gen AI solutions or tools (preferably for infrastructure use-cases) for large enterprise customers. Should have an innovation mind-set and have the ability to build new solutions from the scratch.
Hands-on experience with leading LLMs, RAG, agentic automation, and agent frameworks like Langchain, Lang graph, AutoGen, AutoGPT.
Hands-on experience in Gen AI observability & monitoring via tools like Lang Smith
Experience with deep learning, CNN, NLP, text-to-speech, speech-to-text, OCR, and image processing techniques.
Experience in Infrastructure related use-cases leveraging Autonomous Agents and/or agentic platform. Should have hands-on experience building Autonomous agents for Gen AI related use-cases.
Extensive experience with cloud platforms (Microsoft Azure/AWS/GCP/IBM WatsonX) and their AI/ML services.
Extensive experience in Prompt Engineering and ability to design and build Prompt libraries for various scenarios applicable in Infrastructure.
Thorough understanding of Responsible AI best practices and standards and experience of implementing them in Gen AI related projects
Proven track record of leading and delivering complex AI/ML projects.
Excellent problem-solving skills and ability to work in a fast-paced environment.
Strong communication and collaboration skills.
Preferred Skills:
Experience with AI model deployment and monitoring.
Knowledge of data engineering and data preprocessing techniques.
Familiarity with AI ethics and responsible AI practices.
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