Experience:7+ Years
Relevant Experience: 5+ Years
Location:TVM/Kochi/Remote
Notice Period:Immediate
We are looking for an experienced AI Lead / Senior AI Engineer with 7+ years of experience in AI/ML engineering,
solution design, and hands-on development. The ideal candidate will have strong expertise in the Microsoft Azure
AI ecosystem and the ability to identify, design, and develop AI/ML solutions aligned with enterprise application
architecture and data strategy.
The candidate will work closely with business stakeholders, application teams, data engineers, architects, and
technology leadership to identify high-value AI use cases and translate them into scalable, production-ready
solutions.
This is a hands-on technical leadership role requiring strong solutioning, development, troubleshooting, and
communication skills.
• Analyze the existing application ecosystem, business processes, and data landscape to identify and
recommend relevant AI/ML use cases.
• Work with business and technology stakeholders to understand business challenges and translate them
into practical AI/ML solutions.
• Lead the solutioning, architecture, development, and implementation of AI/ML and Generative AI solutions.
• Design end-to-end AI solutions leveraging the Microsoft Azure AI ecosystem.
• Develop hands-on POCs and production-grade AI applications to validate and demonstrate proposed
solutions.
• Design and implement Generative AI, RAG, LLM, and AI-agent-based solutions based on business
requirements.
• Evaluate appropriate AI models, frameworks, Azure services, data sources, and integration patterns for
each use case.
• Collaborate with Data Engineering teams to leverage enterprise data platforms and data pipelines for
AI/ML solutions.
• Integrate AI capabilities with existing enterprise applications, APIs, databases, and data platforms.
• Provide technical leadership and guidance to AI engineers and development teams.
• Review solution designs, technical implementations, code, and AI/ML architecture to ensure quality and
scalability.
• Conduct technical feasibility assessments and define appropriate approaches for AI use cases.
• Develop prototypes and POCs to evaluate emerging AI technologies and demonstrate business value.
• Establish best practices around prompt engineering, model selection, RAG, evaluation, security, and
responsible AI.
• Troubleshoot technical challenges related to AI models, data, integrations, application architecture, and
deployment.
• Work within Agile delivery teams and contribute to sprint planning, technical discussions, backlog
refinement, and solution reviews.
• Communicate technical concepts and AI solution recommendations clearly to both technical and non
technical stakeholders.

