Responsibilities and Skills:
12+ years of overall experience with 4+ years of experience in architecting solutions
Experience building Generative AI solutions using Open Source, popular PaaS (AWS, Azure, GCP etc.)
Design algorithms and methodologies for prompt-based generative AI systems, focusing on improving output quality and efficiency.
Offer guidance and insights to machine learning engineers and data scientists to refine prompt-driven AI solutions.
Evaluate generative AI model outputs using established metrics and iterate on prompt designs to enhance results continually.
Stay abreast of the latest advancements in generative AI and prompt engineering techniques.
Conduct research to explore novel approaches, experimenting with emerging models and methodologies.

Tech Qualifications:
In-depth knowledge of generative models, especially in text and image generation.
Strong understanding of natural language processing, semantic analysis, and contextual nuances in language.
Experience with machine learning concepts, algorithms, and model evaluation techniques.
Professional / Expert level of Solution Architect Certification from AWS/GCP/Azure is a plus

Additionally, please ask the candidates to provide a writeup on below parameters before you share their profile with the assessment team. The first screening will be done based on the profile of the candidate as per the criteria mentioned in the JD and the response to below parameters-
1. Provide details of your certification in cloud computing :
a. Do you have experience with Azure Native Services or any other Cloud Platform
b. Please specify the certification(s) you possess.
2. Describe your experience in designing and implementing solutions on cloud platforms for enterprise-level projects.
3. Can you provide examples of cloud-based architectures you have designed for AI projects, including considerations for scalability, reliability, and cost optimization
4. Describe your experience with using RAG (Retrieval Augmented Generation) model for solving a business problem. Is it in POC or Production stage

Key Responsibilities:

Lead the architectural design and development of scalable, robust solutions using Python.
Define and oversee the technical strategy and architecture for Python-based applications.
Collaborate with stakeholders to understand business requirements and translate them into technical designs.
Ensure best practices in coding, architecture, and performance across teams.
Provide technical leadership to development teams, conducting code reviews, and ensuring high-quality deliverables.
Drive innovation and adoption of new technologies to enhance system performance, security, and scalability.
Act as a subject matter expert in Python, providing guidance and mentorship to developers.
Maintain and improve system performance, security, and reliability through proactive monitoring and optimization.