Join a team at the forefront of Cloud and Generative AI innovation. As a Senior Cloud GenAI Architect, you will lead the design and implementation of scalable AI-powered enterprise platforms, enabling organizations to accelerate digital transformation through cloud-native architectures, intelligent automation, and advanced analytics. You will work across business, product, engineering, and data teams to build next-generation AI solutions leveraging leading cloud and AI ecosystems.
Your Role
You will be responsible for defining and delivering enterprise-scale GenAI and Cloud architectures across Azure, AWS, GCP, and hybrid environments. Acting as a trusted technology leader, you will drive AI adoption by designing Generative AI, RAG, AI Agent, data, and cloud modernization solutions that are scalable, secure, and business-aligned.
In this role, you will:
- Architect and implement enterprise-grade Generative AI solutions leveraging Azure AI Foundry, Azure OpenAI, AWS Bedrock, and Google Vertex AI.
- Design and deploy scalable Retrieval-Augmented Generation (RAG) and AI Agent architectures integrated with enterprise knowledge repositories and vector databases.
- Lead cloud transformation and modernization initiatives across Azure, AWS, GCP, and hybrid cloud environments.
- Design and build secure, scalable SaaS platforms using cloud-native architectures and microservices.
- Develop enterprise AI and data platforms that enable intelligent automation and business decision-making.
- Architect and optimize data pipelines, data lakes, and analytics solutions using modern cloud data services.
- Collaborate with engineering, product, and business stakeholders to deliver innovative AI-powered solutions.
- Drive enterprise adoption of AI, LLMOps, DevOps, and cloud-native engineering best practices.
- Define governance, security, scalability, and operational frameworks for AI and cloud implementations.
- Lead technical strategy, architecture reviews, and technology roadmaps for AI-enabled digital transformation programs.
- Mentor engineering teams and provide technical leadership across multiple strategic initiatives.
Your Profile
Mandatory Skills
- 14–17 years of experience designing and delivering scalable enterprise and SaaS platforms.
- Strong expertise in Generative AI technologies, including Azure AI Foundry, Azure OpenAI, AWS Bedrock, Google Vertex AI, RAG, AI Agents, and LLMOps.
- Extensive experience in cloud architecture across Azure, AWS, GCP, and multi-cloud environments.
- Strong understanding of enterprise AI architecture, model integration, prompt orchestration, and AI deployment strategies.
- Expertise in designing and implementing RAG frameworks and AI Agent solutions integrated with enterprise data sources.
- Experience with data platforms and analytics technologies including Databricks, Azure Synapse, Microsoft Fabric, Data Lakes, and Data Pipelines.
- Proficiency in Python and experience with technologies such as C#, Java, React, and Angular.
- Strong experience with Kubernetes, Docker, Terraform, CI/CD pipelines, GitHub Actions, and Azure DevOps.
- Expertise in API integration, microservices architecture, and enterprise product modernization.
- Strong knowledge of cloud security, governance, scalability, and operational excellence practices.
- Excellent stakeholder management, solution design, and cross-functional leadership skills.
Preferred Skills
- Experience leading large-scale AI and cloud transformation programs.
- Knowledge of AI governance, Responsible AI frameworks, and compliance requirements.
- Experience implementing enterprise LLMOps and MLOps practices.
- Exposure to advanced analytics, intelligent automation, and decision intelligence platforms.
- Cloud and AI certifications across Azure, AWS, or Google Cloud platforms.
What You'll Love About Working Here
- Opportunity to shape enterprise-scale AI and cloud transformation initiatives.
- Work with cutting-edge GenAI technologies, AI Agents, RAG frameworks, and modern cloud platforms.
- Collaborate with architects, data scientists, engineers, and business leaders on strategic programs.
- Continuous learning through emerging AI technologies and innovation-driven projects.
- Flexible work environment that fosters technical excellence, leadership, and career growth.
