Kavi Global - AI Architect - Prompt Engineering

Description :

Notice Period : Immediate to 15 Days

- Candidates should update their resumes with complete project details, including project start and end dates.(Will not consider the profiles without the project details and duration of the project)

- Selected candidates will be on Kavi payroll and will be deployed at the Kanini client location.

- Graduation: Any Engineering graduate or Postgraduate is eligible.

- A face-to-face interview will be mandatory for L1 or L2 interview face-to-face interviews.

Key Responsibilities :

- Design and architect scalable, enterprise-grade AI/ML solutions aligned with business goals and technology strategy.

- Lead the development of Agentic AI and Generative AI applications, ensuring robust and production-ready implementations.

- Architect and implement solutions leveraging Large Language Models (LLMs) across diverse use cases.

- Define and drive AI architecture standards, governance frameworks, and best practices across the organization.

- Collaborate with business stakeholders, product teams, and engineering leaders to translate requirements into AI solution designs.

- Oversee the end-to-end lifecycle of AI solutions, including development, deployment, monitoring, and optimization.

- Mentor and guide engineering teams, fostering AI capability building and technical excellence.

Key Requirements :

- 10 to 12 years of overall experience, with significant exposure to AI/ML architecture and solution design.

- Strong hands-on experience with Generative AI frameworks and Agentic AI systems.

- Deep expertise in LLMs, prompt engineering, fine-tuning, and Retrieval-Augmented Generation (RAG) architectures.

- Experience with vector databases and semantic search implementations.

- Proven experience in building and deploying AI solutions on cloud platforms (AWS / Azure / GCP).

- Solid understanding of MLOps, CI/CD pipelines, and AI infrastructure.

- Strong knowledge of data engineering concepts, APIs, and system integration patterns.

- Excellent problem-solving, communication, and stakeholder management skills