Technical Architect - Agentic AI

Location – Hyderabad or Bangalore

Experience – 12 to 16 Years

Primary Skills:

10-12 years of experience in AI/ML-related roles, with a strong focus on OpenAI technology.

GenAI Expertise: 1-2 years of experience in building Generative AI applications, including RAG, LLM chaining using Lang chain, prompt engineering.

5+ years of experience in Python-based backend services, APIs, and orchestrators that manage tool invocation, context handling, and task decomposition.

1+ year experience in developing goal-oriented autonomous agents capable of planning, decomposing tasks, and invoking tools via APIs and actions.

1+ years’ experience in optimizing Azure OpenAI models for enhanced performance and scalability.

1-2 years of experience in integrating OpenAI models into software applications using OpenAI APIs.

Job Description:

As a Technical Architect specializing in OpenAI technology and Cognitive Services, you will lead the design and development of AI solutions and models powered by OpenAI’s state-of-the-art models. You will collaborate with cross-functional teams to build innovative AI solutions. Your responsibilities will include:

Primary Responsibilities:

Creating scalable architectures and designs for GenAI projects. Responsible for providing technical guidance and leadership to the team and ensuring that projects are delivered on time and to a high standard.

Proven experience as a Data Scientist/AI Developer with expertise in machine learning and data science.

Design and develop GenAI-powered chatbots and virtual assistants using RAG (Retrieval-Augmented Generation) techniques.

Experience in creating AI agents using agentic frameworks like langGraph, autogen, etc.

Programming and Implementation: Write high-quality, efficient code in Python for AI model development, with a strong focus on OpenAI libraries and frameworks.

Design RAG pipelines that ingest data from structured and unstructured sources

API Integration: Integrate OpenAI models into software applications and systems, ensuring seamless functionality.

Collaboration: Collaborate closely with data scientists, engineers, and product managers to translate project requirements into technical specifications.

Documentation: Create and maintain technical documentation for OpenAI models, algorithms, and best practices

Secondary Responsibilities:

Research: Stay updated on the latest developments in OpenAI technology, best practices, and emerging capabilities.

Proof of Concept: Participate in the development of proof-of-concept projects to explore the feasibility of OpenAI solutions.

Key skills: AI/ML, Open AI, Gen AI, Python, LLM, RAG, Langchain