Application Architect- Gen AI & Product Development

What You will do:

-Architect scalable and efficient Gen AI solutions that can handle large volumes of data, adapt to changing business requirements, and ensure systems are flexible, robust, and future proof.

-Lead the end-to-end implementation of Gen AI applications, overseeing the entire development process from concept to deployment, ensuring alignment with business goals and timely delivery.

-Develop prototypes and proof of concepts (PoCs) to validate Gen AI solutions, iterating on models to gather feedback and refine the solution before full-scale implementation.

-Ensure seamless integration of Gen AI models with existing enterprise systems and data sources, working closely with technical teams to facilitate efficient data flow and compatibility with enterprise applications.

-Collaborate with cross-functional teams, including data scientists, DevOps, and business stakeholders, to align Gen AI development with strategic goals and address both technical and business challenges effectively.

-Provide technical oversight throughout the project lifecycle, ensuring high performance, reliability, and successful delivery through proactive monitoring and troubleshooting.

-Establish best practices for application development that focus on maintainability, scalability, and security, ensuring that Gen AI solutions are secure, easy to maintain, and capable of growing with business demands.

-Research and track the latest developments in the field to maintain expertise about the latest best practices and techniques within the industry.

-Develop accelerators and best practices across various technology stacks to drive efficiency and consistency in project delivery.

-Ensure excellence in delivery across projects, maintaining high standards and meeting client expectations.

-Lead knowledge management initiatives by developing and maintaining a repository of best practices, case studies, and learning materials.

-Conduct webinars, talk shows, and training sessions to share knowledge and expertise, fostering a culture of continuous learning and improvement within the organization.

Skills Required:

-Undergraduate degree (B.E/B.Tech.) from tier-1/tier-2 colleges are preferred.

-6+ years of experience in related field.

-Strong experience in developing and implementing Gen AI based applications, demonstrating expertise in addressing real-world business use cases.

-Hands-on experience with state-of-the-art LLMs such as OpenAI, Anthropic Claude, Google PaLM 2, and Meta LLaMA2, applying these models to build advanced Gen AI solutions across various domains.

-Proficient in software architecture principles, including microservices, API management, and data integration, with experience designing microservices-based systems and integrating Gen AI models into enterprise applications.

-Strong knowledge of CI/CD pipelines and experience in automating testing, building, and deployment processes to optimize development workflows for Gen AI applications.

-Familiarity with caching strategies, containerized environments, and orchestration tools, applying these techniques to improve Gen AI system performance and reduce latency.

-Proficiency in AI/ML frameworks and tools such as LangChain and Llama Index, enabling efficient development, indexing, retrieval, and chaining of models in Gen AI applications.

-Experience with ML Ops and LLM Ops best practices, ensuring smooth deployment, monitoring, and maintenance of large language models in production environments.

-Familiarity with hyperscale cloud platforms and their AI/ML offerings, leveraging these services to build scalable, high-performance Gen AI solutions.