Technical Architect - Generative AI & Agentic AI

WinWire; Hyderabad, Bengaluru; Hybrid; INR 3,500,000 - 7,500,000; Full time

Job summary

WinWire is seeking a seasoned GenAI Technical Architect to design and implement enterprise-scale generative AI and agentic AI solutions. You will define scalable, secure AI architectures across LLMs, prompt engineering, fine-tuning, GenAI SDKs, and multi-agent orchestration using Python and Azure platforms.

The role demands leadership in cross-functional teams, cloud-native design with Docker/Kubernetes, and experience with AML, Cognitive Services, Databricks, and AKS.

Qualifications

• 13+ years of IT experience.
• 2–3 years in designing and implementing generative AI solutions.
• 2 years in prompt engineering, fine tuning, agentic framework, GenAI SDKs.
• 1–2 years in agentic AI frameworks and multi-agent orchestration.
• 7+ years of Python experience.
• 3–5 years with Azure AI services and AKS for end-to-end AI solutions.
• 3–5 years designing scalable, distributed architectures with Docker/Kubernetes.

Responsibilities

• Lead architecture design for generative AI solutions within Azure ecosystem.
• Design AI architectures, frameworks, and algorithms for large-scale AI solutions.
• Evaluate AI technologies and frameworks to achieve performance and scalability.
• Lead development and implementation of AI models with best ML/DL practices.
• Develop and maintain AI pipelines from data prep to validation.
• Optimize models and systems for performance and cost.
• Conduct code reviews and mentor juniors.
• Stay updated on AI tech and trends for business application.
• Collaborate with infra teams for deployment and monitoring in production.
• Document architectures and technical decisions for knowledge sharing.
• Provide leadership, mentorship, and foster collaboration.
• Propose innovative solutions to complex technical challenges.

Skills

13+ years IT experience

Generative AI

Prompt engineering

Agentic AI

GenAI SDKs

Agentic AI frameworks

Python

Azure AI services

Azure Machine Learning

Azure Databricks

AKS (Azure Kubernetes Service)

Distributed systems

Microservices

Docker

Kubernetes

Azure cloud platforms

Tools

Docker

Kubernetes

Azure Machine Learning

AKS

Azure Databricks

Job description

Experience: 13+ Yrs

Location : Hyderabad / Bengaluru

Job Description

We are looking for a seasoned GenAI Technical Architect with expertise in architecting and implementing enterprise-scale generative AI and agentic AI solutions using Python, Azure AI services, and modern AI frameworks. The role focuses on defining scalable and secure AI architectures across LLMs, prompt engineering, fine-tuning, GenAI SDKs, and multi-agent orchestration, while driving cloud-native solution design using distributed systems, microservices, Docker, Kubernetes, and Azure platforms such as AML, Cognitive Services, Databricks, and AKS.

Primary Skills (Must have hands on experience)

• Overall, the candidate should have 13+ years of IT experience.
• Generative AI Expertise: 2-3 years of experience in designing and implementing generative AI solutions, including knowledge of various generative and autoregressive models. Ability to apply generative AI techniques to diverse use cases such as image generation, text generation, and creative content synthesis.
• 2 years of experience in prompt engineering, fine tuning, agentic framework, GenAI SDKs
• 1-2 years of experience in Agentic AI frameworks like Autogen, Lanngraph, MS Agent SDK, A2A, MCP, A2P, memory concepts, multi agent orchestration
• 7+ years of experience in Python
• Azure Proficiency: 3-5 years of experience with Azure cloud services relevant to AI, including Azure Machine Learning, Azure Cognitive Services, Azure Databricks, and Azure Kubernetes Service (AKS). 2+ years of experience in Azure's capabilities to architect end-to-end AI solutions and optimize performance.
• Architecture Design: 3-5 years of skills with the ability to design scalable, reliable, and cost-effective architectures for AI solutions. Proficiency in designing distributed systems, microservices architectures, and containerized solutions using technologies such as Docker and Kubernetes.

Role & responsibilities

As a Gen AI Architect, your primary role will be to design and develop advanced artificial intelligence solutions for various applications. You will work closely with cross-functional teams to understand business requirements and translate them into scalable and efficient AI architecture. You will also be responsible for leading the

implementation and deployment of AI models and systems

• Lead the design of architecture for generative AI solutions within the Azure ecosystem. Collaborate with project managers, data scientists, software engineers, and other stakeholders to understand business goals and determine AI requirements.
• Design and develop AI architectures, frameworks, and algorithms that can support large-scale and complex AI solutions.
• Evaluate and select appropriate AI technologies, tools, and frameworks to achieve desired performance, accuracy, and scalability.
• Lead the development and implementation of AI models, ensuring adherence to best practices in machine learning and deep learning.
• Develop and maintain AI pipelines, incorporating data cleaning, pre-processing, feature engineering, model training, and validation processes.
• Optimize AI models and systems for performance, scalability, and efficiency.
• Conduct regular code reviews and provide technical guidance to junior members of the team.
• Stay up-to-date with the latest advancements in AI technologies, frameworks, and algorithms, and identify opportunities for their application in the organization.
• Collaborate with infrastructure teams to ensure smooth deployment and monitoring of AI models in production environments.
• Document AI architectures, design decisions, and technical specifications for reference and knowledge sharing.
• Leadership and Collaboration: Exceptional leadership skills with the ability to lead cross-functional teams and drive architectural decisions. Proven experience in mentoring junior team members, conducting code reviews, and fostering a culture of innovation and collaboration.
• Problem-solving and Innovation: Strong analytical and problem-solving skills, with a track record of proposing innovative solutions to complex technical challenges. Ability to stay updated on emerging AI technologies, best practices, and industry trends to drive continuous improvement.