Job Description
Inviting applications for the role of Senior Principal consultant - GenAI Solution Architect,
you will play a pivotal role in designing, implementing, and overseeing cloud-based infrastructure and solutions on the Microsoft Azure platform. You will collaborate with stakeholders, lead cloud migration and modernization initiatives, and ensure that cloud architectures are secure, scalable, and aligned with business objectives.
Responsibilities:
Guide the dev team on GenAI components.
Design and develop GenAI solution in different cloud platform
Design production-grade AI solutions such as intelligent document processing, automated content generation, enterprise search assistants, and multi-agent decision-support systems
Implement RAG, prompt engineering, fine-tuning, and orchestration techniques to build accurate and reliable AI systems
Integrate agentic components into enterprise applications with monitoring, observability, human-in-the-loop flows, and feedback loops
Review code and maintain technical quality across the team.
Unblock devs when they face technical issues or defects.
Work with all teams integrated with Data Agent and understand how each connection works.
Help shape the integration workflow, discuss options, and finalize the approach.
Strong hands-on experience in Azure services used in the project.
Good understanding of GenAI-related components.
Ability to review code and guide developers.
Solid experience with system integrations and workflows.
Strong problem-solving mindset.
Minimum Qualifications
Bachelor%27s degree in computer science, Information Technology, or a related field
Proven experience working with Microsoft Azure solutions
Experience designing and implementing cloud solutions and enterprise web applications
Strong understanding of cloud native architecture principles, networking, security, and database concepts
Excellent communication and collaboration skills
Ability to work in a dynamic environment and handle multiple projects
Development and deployment of GenAI Solution [Mandatory]
Preferred Qualifications
Hands-on experience with GenAI frameworks (Lang Chain, Lang Graph, AutoGen, crew AI, OpenAI Agent SDK)
Proficiency in Python for AI/ML development
Experience designing and implementing cloud solutions and enterprise web applications
Strong understanding of cloud native architecture principles, networking, security, and database concepts
Experience in the consulting industry, technical leadership, or sales support
In-depth experience architecting complex Azure public/private cloud platform solutions (PaaS, SaaS, IaaS)
Experience with modern architecture techniques (e.g., event-driven architectures, stream processing, event sourcing/CQRS)
Familiarity with containerization and PaaS tools (e.g., Kubernetes, Docker Enterprise, Azure Stack)
Experience with Infrastructure as Code (IaC) and automation tools
Strong client management and professional presence
Experience as an Azure Cloud Solutions Architect
Good to have Azure certifications (e.g., Microsoft Certified: Azure Solutions Architect Expert)