Genai solutions architect

About the Company:Everest DX – We are a Digital Platform Services company, headquartered in Stamford. Our Platform/Solution includes Orchestration, Intelligent operations with BOTs’, AI-powered analytics for Enterprise IT. Our vision is to enable Digital Transformation for enterprises to deliver seamless customer experience, business efficiency and actionable insights through an integrated set of futuristic digital technologies.Digital Transformation Services - Specialized in Design, Build, Develop, Integrate, and Manage cloud solutions and modernize Data centers, build a Cloud-native application and migrate existing applications into secure, multi-cloud environments to support digital transformation. Our DigitalPlatform Services enable organizations to reduce IT resource requirements and improve productivity, in addition to lowering costs and speeding digital transformation.Digital Platform - Cloud Intelligent Management (Ci M) - An Autonomous Hybrid Cloud Management Platform that works across multi-cloud environments. helps enterprise Digital Transformation get most out of the cloud strategy while reducing Cost, Risk and Speed.To know more please visit: Title: Gen AI Solution Architect (AWS & Azure)Job Location: Hyderabad /ChennaiJob Type: Full TimeExperience: 10+ years (including 3+ years in AI/ML or Gen AI architecture)Notice Period - Immediate to 15 days joiners are highly preferredKey Responsibilities:1. Gen AI Solution DesignArchitect end-to-end Generative AI solutions on AWS and Azure.Design modular frameworks using:- AWS Bedrock, Sage Maker, and Comprehend.- Azure Open AI Service, Azure Machine Learning, and Cognitive Search.Build Retrieval-Augmented Generation (RAG) pipelines integrating vector databases (e.g., Amazon Open Search, Pinecone, Azure Cosmos DB + embeddings).Design prompt orchestration using frameworks such as Lang Chain, Semantic Kernel, or Crew AI.2. Cloud & Infrastructure ArchitectureDefine scalable, secure infrastructure on AWS and Azure:- Compute: ECS, EKS, Lambda, AKS, App Service.- Storage & Data: S3, Dynamo DB, Azure Blob, Cosmos DB, Synapse.- Networking & Security: VPC, Private Link, IAM, Key Vault, KMS, Defender for Cloud.Implement Infrastructure-as-Code (Ia C) using Terraform or Bicep.Leverage API Gateway / Azure API Management for secure AI API deployment.3. AI/ML Lifecycle & MLOps- Architect AI pipelines across training, tuning, and inference stages.- Integrate CI/CD for AI workflows using Git Hub Actions / Azure Dev Ops Pipelines.- Design monitoring and governance for LLM outputs, model drift, and data quality.- Support fine-tuning and prompt optimization using Bedrock model customization or Azure Open AI fine-tuning endpoints.4. Security, Governance & Compliance- Apply Responsible AI principles—bias detection, interpretability, and data privacy.- Implement compliance controls aligned with GDPR, SOC2, ISO 27001, and NIST.- Secure data and models using AWS KMS, Azure Key Vault, and Private Endpoints.- Enforce RBAC and least privilege across all AI service components.5. Collaboration & Stakeholder Management- Partner with Product Owners and Data Leaders to identify Gen AI business use cases.- Collaborate with developers, data scientists, and cloud engineers for delivery.- Provide architecture governance, design reviews, and hands-on mentoring.- Present Gen AI solution roadmaps and Po C outcomes to business executives.Required Skills & Qualifications:Technical Expertise5+ years as a Cloud Architect or AI/ML Solution Architect.Expertise in:- AWS AI/ML Stack: Bedrock, Sage Maker, Comprehend, Rekognition, Lambda.- Azure AI Stack: Azure Open AI, Azure Machine Learning, Cognitive Search, Synapse, Form Recognizer.Solid understanding of LLMs, embeddings, prompt engineering, and RAG architectures.Strong hands-on in Python and AI orchestration frameworks (Lang Chain, Llama Index, Semantic Kernel).Cloud & Dev Ops Skills- Experience with Terraform, Cloud Formation, or Bicep.- Proficiency in Docker, Kubernetes (EKS/AKS), and serverless design patterns.- Knowledge of CI/CD, Git Ops, and observability (Cloud Watch, Log Analytics).Security & Governance- Deep understanding of cloud-native identity, encryption, and compliance frameworks.- Experience implementing AI guardrails and output moderation workflows.Soft Skills- Excellent communication and stakeholder engagement skills.- Ability to translate complex AI architectures into business value propositions.- Thought leadership in cloud-native AI adoption and digital transformation.Preferred Certifications- AWS Certified Solutions Architect – Professional- Microsoft Certified: Azure Solutions Architect Expert- Microsoft Certified: Azure AI Engineer Associate- Open AI / Deep Learning. AI Generative AI Certification (nice-to-have)Nice-to-Have Experience- Designing multi-cloud AI pipelines across AWS and Azure.- Implementing Gen AI copilots, chatbots, or knowledge assistants.- Using Lang Graph, Crew AI, or Dust for AI agent orchestration.- Integration of Power BI, Power Platform, or AWS Quick Sight for AI analytics.KPIs / Success Metrics- Successful design and deployment of scalable Gen AI architectures across AWS & Azure.- Reduction in model deployment and iteration times.- Improved model performance, governance, and cost efficiency.- Alignment of Gen AI solutions with enterprise compliance and business objectives.- Stakeholder satisfaction and measurable Gen AI ROI.