Principal Consultant-AWS Solution Architect-Gen AI

Evalueserve; Raleigh (NC); Sur place; USD 170 000 - 230 000; Plein temps

Résumé du poste

Evalueserve in Raleigh, NC seeks an accomplished Solution Architect (AWS-GenAI) with 12+ years of experience in AWS data platforms, cloud infrastructure, and scalable enterprise architecture. You will translate business priorities into reference architectures and guide engineering teams from discovery through deployment.

Lead design across data, application, model, and platform layers; drive secure, production-grade GenAI solutions on AWS while embedding governance and security.

Qualifications

• 12-15 years of experience leading enterprise solution architecture and large-scale technology delivery.
• Producing production AWS-based solutions with cloud-native design, security, and HA.
• Hands-on Generative AI and LLM patterns including RAG, embeddings, and MLOps.
• Strong Python, REST APIs, microservices, containers, IaC, CI/CD, and observability.

Responsabilités

• Architect scalable AWS data and infrastructure solutions aligned with enterprise requirements.
• Provide technical leadership across AWS data platforms, infrastructure, security, and performance optimization.
• Define architecture standards and cloud modernization strategies for complex data environments.
• Design RAG, agentic AI, conversational AI, document intelligence, and workflow automation solutions.
• Define architectures using Bedrock, SageMaker, Lambda, API Gateway, ECS/EKS, S3, OpenSearch, Step Functions, EventBridge, IAM, KMS, CloudWatch.
• Lead architecture reviews, design workshops, proofs of concept, and delivery governance.
• Architect secure integrations with APIs, data platforms, and legacy environments with observability and maintainability in mind.
• Embed privacy, access control, content safety, model evaluation, and governance into designs.
• Set KPIs for latency, throughput, scalability, availability, and cost optimization.
• Collaborate with leaders to shape options, estimates, and adoption plans; mentor teams.

Connaissances

Python

REST APIs

Microservices

Containers

Infrastructure as Code

CI/CD

Observability

Outils

Amazon Bedrock

SageMaker

Lambda

API Gateway

ECS/EKS

S3

OpenSearch

Step Functions

EventBridge

IAM

KMS

CloudWatch

Description du poste

12 - 16 Years

Permanent

Job Description

Job Summary

We are seeking anaccomplished Solution Architect (AWS)-GenAI with 12+ years of experience specializingin AWS data platforms, cloud infrastructure, and scalable enterprisearchitecture define and deliver secure, scalable, and production-gradegenerative AI solutions on AWS. The role will translate business prioritiesinto reference architectures, lead solution design across data, application,model, and platform layers, and guide engineering teams from discovery throughdeployment and operationalization.

Key Responsibilities

• Architectand deliver scalable AWS data and infrastructure solutions aligned withenterprise requirements.
• Providedeep technical leadership across AWS cloud, data platforms,infrastructure, security, and performance optimization.
• Definearchitecture standards, best practices, and cloud modernization strategiesfor complex data environments.
• DesignRAG, agentic AI, conversational AI, document intelligence, and workflowautomation solutions using Amazon Bedrock, foundation models, vectorsearch, orchestration frameworks, and enterprise data sources.
• Defineresilient cloud-native architectures using services such as AmazonBedrock, SageMaker, Lambda, API Gateway, ECS/EKS, S3, OpenSearch, StepFunctions, EventBridge, IAM, KMS, and CloudWatch.
• Leadarchitecture reviews, design workshops, proofs of concept, and deliverygovernance; provide hands-on guidance to engineering, data science,DevOps, security, and product teams.
• Architectsecure integrations with APIs, data platforms, identity systems, SaaSapplications, and legacy environments while ensuring interoperability,observability, and maintainability.
• Embedprivacy, access control, content safety, model evaluation, promptsecurity, auditability, and regulatory requirements into solution designsand delivery standards.
• Establish approaches for modelselection, latency, throughput, scalability, availability, disaster recovery,and cost optimization; define measurable architecture and operational KPIs.
• Partnerwith business and technology leaders to shape solution options, estimates,and adoption plans; mentor architects and engineers and contribute toreusable accelerators, standards, and knowledge assets.

Required Qualification

• 12-15 years of experience in software,cloud, data, or AI engineering, including significant experience leadingenterprise solution architecture and large-scale technology delivery.
• Demonstrated expertise architectingproduction solutions on AWS, with strong knowledge of cloud-native design,distributed systems, security, networking, integration, high availability, anddisaster recovery.
• Hands-on experience with Generative AIand LLM solution patterns, including RAG, embeddings, vector databases, promptengineering, agents, model evaluation, guardrails, and LLMOps/MLOps.
• Strong proficiency in Python, REST APIs, microservices, containers,infrastructure as code, CI/CD, and observability, with the ability to reviewdesigns and guide implementation teams

Disclaimer: The following job description serves as an informative reference for the tasks you may be required to perform. However, it does not constitute an integral component of your employment agreement and is subject to periodic modifications to align with evolving circumstances .

Please Note : We appreciate the accuracy and authenticity of the information you provide, as it plays a key role in your candidacy. As part of the Background Verification Process, we may verify your employment, education, and other details. Please ensure all information is factual and submitted on time.