Generative AI

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Generative AI Good to have skills : NA Minimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Technology Architect – Automation, GenAI & Agentic AI Role Summary Lead the design, architecture, and delivery of enterprise-scale Automation, GenAI, and Agentic AI solutions. Drive technology transformation initiatives by defining scalable architectures, deployment strategies, data architectures, and governance frameworks while ensuring alignment with business objectives, security standards, and operational requirements. Roles & Responsibilities Define end-to-end solution architecture for Automation, GenAI, and Agentic AI initiatives across application, integration, data, infrastructure, and security layers. Design scalable automation solutions leveraging RPA, APIs, workflow orchestration, AI/ML, and cloud-native technologies. Architect and implement GenAI and Agentic AI solutions using frameworks such as Google ADK, LangGraph, LangFlow, AutoGen, and enterprise LLM platforms. Define deployment architecture, environment strategy, CI/CD pipelines, monitoring, observability, and production support models. Design data architecture including data ingestion, transformation, storage, indexing, retrieval, vector search, and governance frameworks. Establish integration patterns with enterprise applications, ITSM platforms, databases, knowledge repositories, and cloud services. Conduct architecture reviews, technology assessments, solution estimations, and design governance activities. Ensure compliance with enterprise security, privacy, regulatory, and responsible AI standards. Collaborate with business stakeholders to identify automation opportunities and translate business requirements into technical solutions. Lead technical teams and provide architecture guidance, mentoring, and design oversight throughout the project lifecycle. Drive innovation by evaluating emerging technologies, AI frameworks, and automation platforms to enhance enterprise capabilities. Support proposal development, solutioning, client presentations, and strategic technology roadmaps. Define non-functional requirements including scalability, reliability, performance, resilience, and disaster recovery. Partner with operations teams to establish support models, monitoring frameworks, and continuous improvement processes. Deliver measurable business outcomes through automation, AI adoption, and operational excellence initiatives.