Applied AI 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 Digital

Platform 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 (CiM) - 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 : http : / / www.Everestdx.Com

Job Title : GenAI Solution Architect (AWS & Azure)

Job Location : Hyderabad / Chennai

Job Type : Full Time

Experience : 10+ years (including 3+ years in AI / ML or GenAI architecture)

Notice Period - Immediate to 15 days joiners are highly preferred

Key Responsibilities :

1. GenAI Solution Design

Architect end-to-end Generative AI solutions on AWS and Azure.

Design modular frameworks using :

• AWS Bedrock, SageMaker, and Comprehend.
• Azure OpenAI Service, Azure Machine Learning, and Cognitive Search.

Build Retrieval-Augmented Generation (RAG) pipelines integrating vector databases (e.G., Amazon OpenSearch, Pinecone, Azure Cosmos DB + embeddings).

Design prompt orchestration using frameworks such as LangChain, Semantic Kernel, or CrewAI.

2. Cloud & Infrastructure Architecture

Define scalable, secure infrastructure on AWS and Azure :

Implement Infrastructure-as-Code (IaC) using Terraform or Bicep.

Leverage API Gateway / Azure API Management for secure AI API deployment.

3. AI / ML Lifecycle & MLOps

4. Security, Governance & Compliance

5. Collaboration & Stakeholder Management

Required Skills & Qualifications :

Technical Expertise

5+ years as a Cloud Architect or AI / ML Solution Architect.

Expertise in :

Solid understanding of LLMs, embeddings, prompt engineering, and RAG architectures.

Strong hands-on in Python and AI orchestration frameworks (LangChain, LlamaIndex, Semantic Kernel).

Cloud & DevOps Skills

Security & Governance

Soft Skills

Preferred Certifications

Nice-to-Have Experience

KPIs / Success Metrics