Technical Specialist / Architect – AI

Job Description

Roles & Responsibilities :

Design and application of AI technologies and concepts to different use cases in Software Engineering landscape and work along with architects for overall solution design. Responsibilities and Accountability :

Sound knowledge of Generative AI technology stack

Identification of frameworks and tools for AI / Gen AI solution design

Implementation of specific use cases / modules under GenAI technology stack

System design and code review to assure quality guidelines and standard are followed across software engineering lifecycle.

Sound knowledge of SDLC, agile methodology. Preferred (not mandatory) to have experience in automotive domain.

Working with other team members to derive overall solution architecture requirements.

Sensitive to IP and open-source regulations and enable team to comply.

Qualifications

Educational qualification :

• .AI / ML tools.NLP techniques .Hands-on of Gen AI Foundation Models and Vector DB : Leveraging foundational AI models and vector database technologies for advanced AI capabilities. .Use of Orchestration Tools : Utilizing advanced tools like Semantic Kernel, Lang chain, and others for efficient AI model management.

Experience :

52 Level 8+ BE / BTech

Mandatory / requires Skills :

AI / ML tools .NLP techniques .Hands-on of Gen AI Foundation Models and Vector DB : Leveraging foundational AI models and vector database technologies for advanced AI capabilities. .Use of Orchestration Tools : Utilizing advanced tools like Semantic Kernel, Lang chain, and others for efficient AI model management

Preferred Skills :

Additional Information

I / ML tools LP techniques ands-on of Gen AI Foundation Models and Vector DB : Leveraging foundational AI models and vector database technologies for advanced AI capabilities. se of Orchestration Tools : Utilizing advanced tools like Semantic Kernel, Lang chain, and others for efficient AI model management.

Skills Required

Generative AI technology stack, Vector DB, Gen AI Foundation Models, NLP techniques, Lang chain, Orchestration Tools, AI ML tools, Semantic Kernel