Role Description Lead the design development and deployment of enterprisescale AI Machine Learning and Generative AI solutions Define AI strategy architecture and technology roadmaps aligned with business objectives Drive endtoend delivery of AI programs from ideation and PoC to production deployment Architect scalable AI platforms leveraging cloud technologies distributed computing and MLOps practices Design and implement advanced GenAI solutions using LLMs RAG frameworks agents and multimodal models Provide technical leadership for AI solution architecture model selection and platform engineering Develop reusable AI accelerators frameworks and best practices to improve delivery efficiency Lead crossfunctional teams of AI Engineers Data Scientists Architects and Product Owners Build AI solutions using Azure AI Services OpenAI Databricks vector databases and up-to-date AI ecosystems Govern model lifecycle management including training evaluation deployment monitoring and retraining Define AI security compliance responsible AI and data governance standards across projects Collaborate with business stakeholders to identify highvalue AI transformation opportunities Establish enterprise AI architecture patterns and integration strategies with existing systems Drive innovation by evaluating emerging AI technologies frameworks and industry trends Lead solution workshops architecture reviews and technical governance forums Provide thought leadership in AI adoption digital transformation and intelligent automation initiatives Develop reference architectures for GenAI agentic AI conversational AI and predictive analytics solutions Ensure scalability performance reliability and cost optimization of AI platforms and services Mentor senior engineers and architects while fostering a culture of innovation and continuous learning Support presales activities including solution design effort estimation proposals and client presentations Work closely with executive leadership to define AI investment priorities and strategic initiatives Establish KPIs and success metrics to measure business impact and AI solution effectiveness Drive adoption of DevOps MLOps CICD and AI observability frameworks across teams Influence enterprisewide AI standards technology selection and modernization programs Required Skills Python Machine Learning Deep Learning GenAI LLMs RAG Agentic AI LangChain LangGraph Azure AI OpenAI Databricks Vector Databases MLOps Kubernetes Cloud Architecture Data Engineering AI Governance Solution Architecture Stakeholder Management and Team Leadership

📌 Senior Specialist (Hyderabad)
🏢 LTM
📍 Hyderabad