AI Senior Specialist

RPM Global Business Capability Center; Coimbatore District; On-site; INR 1,800,000 - 2,400,000; Full time

Job summary

RPM Global Business Capability Center seeks an experienced AI/ML Engineer to design, develop, test, and deploy AI/ML and Generative AI solutions. You will build LLM, RAG, AI Agent, and conversational AI apps, using Python and cloud services, and integrate them with enterprise systems and APIs.

You will design scalable architectures, implement prompt-engineering strategies, and optimize performance and costs while collaborating with analysts, developers, and data teams.

Qualifications

• Bachelor's degree in computer science, AI, data science, or related field.
• Hands-on experience developing and deploying AI/ML and Generative AI solutions.
• Strong expertise in LLMs, Prompt Engineering, RAG, AI Agents, and Conversational AI.
• Advanced programming skills in Python, SQL, and modern software practices.
• Experience with Azure AI Services, Azure OpenAI, Microsoft AI Foundry, AWS AI, or Google Cloud AI platforms.
• Experience with MLOps, CI/CD pipelines, model monitoring, and production deployment.

Responsibilities

• Design, develop, test, and deploy AI/ML and Generative AI solutions.
• Build LLM, RAG, AI Agent, and conversational AI apps.
• Develop AI-powered apps using Python and cloud services.
• Integrate AI with enterprise systems and APIs.
• Design scalable, secure AI architectures and best practices.
• Implement prompt engineering strategies and optimize performance and costs.
• Create reusable AI components and accelerators.
• Collaborate with analysts, developers, and data teams to translate requirements.
• Troubleshoot AI models, data pipelines, and deployments.
• Monitor production AI performance, reliability, and security.
• Conduct code reviews and mentor junior engineers.
• Enforce Responsible AI, security, privacy, and compliance.
• Support CI/CD, MLOps, and lifecycle management.
• Stay updated with emerging AI tech and industry trends.

Skills

Python

SQL

LLMs

Prompt Engineering

MLOps

REST APIs

CI/CD

Git

Azure AI Services

Cloud Platforms

Education

Bachelor's degree in Computer Science or related field

Tools

LangChain

Semantic Kernel

Hugging Face

PyTorch

TensorFlow

OpenAI

Job description

Role & responsibilities

• Design, develop, test, and deploy AI, Machine Learning, and Generative AI solutions to solve business challenges.
• Build and optimize Large Language Model (LLM), Retrieval-Augmented Generation (RAG), AI Agent, and conversational AI applications.
• Develop AI-powered applications using Python, Azure AI Services, OpenAI, LangChain, Semantic Kernel, and related frameworks.
• Integrate AI solutions with enterprise applications, APIs, databases, SharePoint, Power Platform, and cloud services.
• Design scalable and secure AI solution architectures following enterprise development standards and best practices.
• Develop prompt engineering strategies and optimize model performance, response quality, and cost efficiency.
• Create reusable AI components, libraries, accelerators, and frameworks to support solution delivery.
• Collaborate with business analysts, developers, automation engineers, and data teams to translate requirements into technical solutions.
• Troubleshoot and resolve issues related to AI models, integrations, data pipelines, and production deployments.
• Monitor AI application performance, reliability, security, and scalability in production environments.
• Conduct code reviews and provide technical guidance to junior developers and AI engineers.
• Implement Responsible AI, security, data privacy, and compliance requirements within AI solutions.
• Support CI/CD, MLOps, model deployment, version control, and lifecycle management practices.
• Stay current with emerging AI technologies, frameworks, and industry trends, recommending relevant technical enhancements.

Preferred candidate profile

• Bachelor's degree in computer science, Artificial Intelligence, Data Science, Engineering, Information Technology, or a related field.
• experience in software development, Artificial Intelligence, Machine Learning, Data Engineering, or Intelligent Automation.
• Hands-on experience developing and deploying AI/ML and Generative AI solutions.
• Strong expertise in Large Language Models (LLMs), Prompt Engineering, Retrieval-Augmented Generation (RAG), AI Agents, and Conversational AI.
• Advanced programming skills in Python, SQL, and modern software development practices.
• Experience with Azure AI Services, Azure OpenAI, Microsoft AI Foundry, AWS AI, or Google Cloud AI platforms.
• Strong knowledge of AI frameworks such as LangChain, Semantic Kernel, Hugging Face, PyTorch, TensorFlow, or similar technologies.
• Experience building REST APIs, microservices, and integrating AI solutions with enterprise systems.
• Knowledge of vector databases, embeddings, semantic search, and knowledge management architectures.
• Experience with MLOps, Git, Azure DevOps, CI/CD pipelines, model monitoring, and production deployment.
• Experience with Microsoft Copilot, Copilot Studio, Power Platform, Databricks, and automation technologies are preferred.
• Strong troubleshooting, analytical, and problem-solving skills.
• Ability to mentor technical team members and contribute to solution architecture reviews.
• AI, Azure, Cloud, or Data-related certifications are preferred.