Find The RightJob.
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
Why Join WinWire: Your Path to Professional Excellence in the Age of AI
As an Employer of Choice, WinWire offers an exceptional workplace culture, industry recognition, and an unwavering commitment to employee growth. Here is why top talent chooses us:
AI-First. Globally Recognized: Honored at the World Economic Forum in Davos for our pioneering "Agentic AI @ Scale" work, cementing our position as a forward-thinking, AI-first services firm shaping the future of enterprise technology. Read Press Release
Microsoft Gold Standard: A 6x Microsoft Global Partner of the Year Winner/Finalist — reflecting our consistent delivery of industry-leading solutions and our deep, trusted partnership with Microsoft. Learn more about our MSFT relationship
Joining the NTT DATA Family: WinWire is becoming part of NTT DATA, a $30 billion global leader in AI, digital business, and technology services. This means greater career stability, broader client exposure, and access to a vast landscape of opportunities across a truly global organization. Read Press Release
Award-Winning Culture: Certified as a Best Place to Work® four times, our workplace culture is not just a talking point — it is a proven, recognized commitment to creating an environment where people genuinely thrive. Watch video
People-First Environment: With a strong 4.0 Glassdoor rating, our employees speak for themselves. We prioritize wellbeing, inclusivity, and a culture of respect at every level of the organization.
Invest in Your Growth: From continuous learning programs to structured career development pathways, we equip our team with the skills, tools, and opportunities needed to grow and lead in the age of AI.
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