Experience: 14–17 years
Location: Hyderabad / Bengaluru
Role Summary:
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.
What You’ll Do
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.
Must-Have Skills:
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 SDK’s
1-2 years of experience in Agentic AI frameworks like AutoGen, Lann graph, 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: 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.
Good to Have
Security and Compliance: Understanding of security principles and best practices in AI development, with the ability to implement security controls, encryption mechanisms, and access management policies to protect AI models and sensitive data.
Integration and Deployment: Proficiency in implementing CI/CD pipelines, automation scripts, and infrastructure as code (IaC) using tools such as Azure DevOps, Terraform, or Ansible. Experience in containerization and orchestration of AI workloads using Docker and Kubernetes.
Software Development: Strong programming skills in languages such as Python, with experience in developing AI applications, RESTful APIs, and microservices architectures. Familiarity with software development methodologies such as Agile or Scrum.
Communication and Presentation: Excellent communication skills with the ability to convey complex technical concepts to non-technical stakeholders. Experience in preparing and delivering technical presentations, architecture diagrams, and documentation to communicate architectural decisions and design rationale effectively.
Tech Stack
Snowflake, AWS S3, Matillion, dbt (data build tool), Collibra, Profisee MDM, Python, SQL, Snowflake Cortex AI, WinAIDM, SnowConvert AI, Tableau, Power BI, CI/CD (Azure DevOps), Git, ACORD Data Model
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.
