Job Description Day-to-Day: - Design, build, and maintain scalable AI platforms supporting LLMs, RAG solutions, and Agentic AI systems - Develop and manage cloud infrastructure using Terraform and automation frameworks - Implement AI services utilizing Bedrock, LangChain, LangGraph, Vector Databases, and Python - Build and optimize CI/CD pipelines for AI applications, models, and cloud services - Deploy and manage containerized workloads using Docker and Kubernetes - Ensure platform security, governance, compliance, and operational excellence - Establish monitoring, observability, and reliability practices across AI environments - Partner with data scientists, developers, security teams, and business stakeholders - Automate infrastructure management and operational processes - Evaluate emerging AI technologies and recommend platform improvements - Mentor engineering teams on AI platform architecture and best practices - Manage Azure networking, Entra ID integrations, and authentication frameworks Insight Global is seeking an AI Platform Engineer for a top technology-focused client. This candidate will play a critical role in designing, building, and scaling enterprise AI platforms that support cutting-edge Generative AI initiatives, including LLMs, Retrieval-Augmented Generation (RAG), and Agentic AI solutions. The engineer will develop cloud-native infrastructure using Terraform, Python, and modern DevOps practices while implementing AI services leveraging technologies such as AWS Bedrock, LangChain, LangGraph, and Vector Databases. This role will also focus on CI/CD automation, MLOps enablement,



Kubernetes-based deployments, platform observability, and security governance. The ideal candidate is a highly technical engineer with a passion for AI innovation, cloud infrastructure, and platform reliability who thrives in a collaborative, fast-paced workplace. We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to [email protected] learn more about how we collect, keep, and process your private information,



please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/. Skills and Requirements - 5+ years of Cloud Engineering, Platform Engineering, DevOps, or MLOps experience - Experience designing and supporting AI platforms for LLM, RAG, and Agentic AI applications - Strong hands-on experience with AWS, Azure, or GCP cloud environments - Expertise with Terraform and Infrastructure-as-Code (IaC) - Experience with Python development and automation - Hands-on experience with AWS Bedrock and modern AI frameworks - Experience with LangChain and/or LangGraph - Knowledge of Vector Databases and AI retrieval architectures - Strong experience with Docker and Kubernetes - CI/CD pipeline development using GitHub Actions and GitHub Workflows - Experience with observability, monitoring, and SRE best practices - Understanding of MLOps concepts and AI model lifecycle management - Knowledge of Azure networking and Entra ID - Experience with identity management, access controls, authentication, and security governance - Multi-cloud experience across AWS, Azure, and GCP - Experience building enterprise-scale AI governance frameworks - Background supporting production AI platforms and GenAI initiatives - Experience with incident management and platform reliability engineering - Knowledge of enterprise security and compliance standards - Experience mentoring engineers and establishing platform best practices - Cloud certifications (AWS, Azure, Kubernetes, Terraform)

📌 AI Platform Engineer (Bengaluru)
🏢 Insight Global
📍 Bengaluru