Enterprise Architect - Gen AI

Key Responsibilities:

• As a Cloud AI Infra Architect you should have with a minimum of 12 years of experience in managing Cloud Enterprise infrastructure projects and driving automation through Gen AI drive the adoption optimization of our cloud infrastructure and services
• You will be a key technical resource responsible for designing implementing and maintaining secure scalable and cost effective cloud solutions across our enterprise and drive optimization through Gen AI
• Design implement and evolve highly available scalable and secure multi cloud architectures specifically tailored for large language models LLMs foundation models vector databases prompt engineering environments fine tuning and real time inference for Gen AI
• Develop infrastructure patterns and frameworks to support the deployment orchestration and management of autonomous AI agents including their interaction with external tools data sources and reasoning engines
• Drive the adoption and implementation of advanced IaC to automate the provisioning configuration and governance of all AI infrastructure
• Proactively identify bottlenecks and implement innovative strategies for optimizing the performance cost efficiency and resource utilization of high compute AI workloads across all cloud providers
• Define and enforce stringent security architectures data governance policies and compliance frameworks for sensitive AI data models and agent interactions e
• g
• data privacy responsible AI principles
• Partner with Data Engineering to design and optimize data pipelines for large scale unstructured and vector data required for Gen AI model training fine tuning and retrieval augmented generation
• Collaborate closely with Data Scientists and ML Gen AI Engineers to design and implement robust MLOps Gen AIOps pipelines for continuous integration continuous delivery CI CD continuous training CT and continuous evaluation CE of Gen AI models and agents
• Architect and implement agentic workflows using RAG pipelines LLM agents and external tool integrations
• Design modular agentic systems that include planning memory tool use and context aware reasoning
• Develop and optimize custom GPTs using advanced prompt engineering and OpenAI s custom instructions functions and APIs
• Integrate knowledge bases vector stores e
• g
• FAISS Pinecone Weaviate and APIs into a cohesive Agentic RAG architecture

Technical Requirements:

• Proven experience designing implementing and managing cloud solutions on major cloud platforms e
• g
• AWS Azure GCP
• Strong understanding of cloud computing concepts architectures and services IaaS PaaS SaaS
• Hands on experience with cloud automation and infrastructure as code tools e
• g
• Terraform CloudFormation ARM
• Experience with cloud security best practices and tools
• Deep expertise across compute storage networking security and AI ML services on GCP AWS Azure
• LLM Foundation Model Deployment Experience with deploying serving and managing large language models LLMs and other foundation models
• Vector Databases Expertise in integrating and managing vector databases for Retrieval Augmented Generation RAG architectures
• Prompt Engineering Environments Designing and implementing infrastructure to support prompt engineering workflows and experimentation
• Agent orchestration tool integration e
• g
• LangChain
• Infrastructure as Code IaC Terraform expert CloudFormation Google Deployment Manager Bicep
• Containerization Orchestration Docker Kubernetes EKS GKE AKS
• MLOps Gen AIOps CI CD pipelines for AI models agents model versioning monitoring
• Programming Scripting Python strong
• Data Technologies Data Lakes object storage streaming platforms relevant to AI data
• Security Governance Cloud security best practices data privacy compliance

Additional Responsibilities:

• Besides the professional qualifications of the candidates we place great importance in addition to various forms personality profile
• These include
• High analytical skills
• A high degree of initiative and flexibility
• High customer orientation
• High quality awareness
• Excellent verbal and written communication skills

Preferred Skills:

Technology->AI-Agentic AI->AgentOps,Technology->AI-AI Engineering->MLOps,Technology->AI-Generative AI->Generative AI - Basic,Technology->AI-Traditional AI->TensorFlow,Technology->OpenSystem->Python - OpenSystem->Python,Technology->AI-Data science->Machine Learning,Technology->AI-Generative AI->Artificial Intelligence - BASIC