GenAI Solution Architect

Role Overview: The GenAI Solution Architect will be responsible for designing, developing, and implementing AI solutions utilizing Microsoft Azure and Large Language Models (LLMs). This role requires a deep understanding of AI/ML algorithms, cloud architecture, and the ability to translate business requirements into scalable, reliable, and high-performing AI solutions.

Key Responsibilities: 
Lead the architecture, design, and deployment of AI solutions using Azure and LLMs. 
Develop architectural blueprints, design documents, and technical specifications. 
Ensure solutions are scalable, maintainable, and performant. 
Work closely with cross-functional teams to gather requirements and understand business needs. 
Provide technical leadership and mentorship to development teams. 
Conduct technical reviews and provide feedback to ensure high-quality deliverables. 
Oversee the entire project lifecycle, from initial concept to final implementation. 
Manage timelines, resources, and budgets to ensure successful project delivery. 
Conduct risk assessments and develop mitigation strategies.

Required Skills: 
Expertise in Microsoft Azure and its AI/ML services. 
Strong understanding of Large Language Models (LLMs) and their applications. 
Proficiency in AI/ML algorithms, frameworks, and tools (e.g., TensorFlow, PyTorch). 
Knowledge of cloud architecture, APIs and microservices. 
Proven track record of managing and delivering AI projects 
Ability to oversee multiple projects simultaneously.

Preferred Skills: 
Experience with Azure (mandatory) and other cloud platforms (e.g., AWS, Google Cloud) is an added advantage. 
Familiarity with data engineering and big data technologies. 
Knowledge of DevOps practices and CI/CD pipelines.

Education: 
Bachelor’s or master’s degree in computer science, Engineering, or a related field.