Architect – Agentic AI, Cloud Transformation & Application Modernization - R01570510

LocationSeattle, Washington, United States
Work modeon-site
Typefull-time
SeniorityLead
Experience7+ yrs
DepartmentDigital Engineering, Digital Engineering : Digital Engineering
Company size5,001–10,000 people
PostedSep 2, 2026 · 1mo ago
Verified live1d ago
At a glanceSummarised by Seekless from the posting.
7+ years of experience leading enterprise architecture, cloud transformation, and application modernization initiatives
Substantial hands-on expertise with AWS solutions and Agentic AI platforms
Expertise in AWS architecture including Cognito, EKS, Elasticache, Kinesis, Redshift, IAM, S3, CloudFront, Route 53, Aurora, and RDS
Advanced experience with AWS PaaS services and networking concepts
Hands-on experience with cloud migration strategies and implementation on AWS
Proficiency in designing and implementing microservices and distributed systems architectures
Strong programming skills in Go, Java, Python, Node.js, ReactJS, TypeScript, and JavaScript
Experience with service communication protocols such as REST, gRPC, and Thrift
Expertise in event-driven architectures and platforms such as Kafka
Knowledge of Infrastructure-as-Code tools (e.g., Terraform, AWS CloudFormation)
Experience with CI/CD pipelines, DevSecOps, and observability tools (e.g., Datadog, OpsGenie)
Hands-on experience with Agentic AI, LLMs, and AI platform architecture (RAG, orchestration)
Bachelor's degree in Computer Science, Information Technology, Software Engineering, or a closely related discipline
AWS Certified Solutions Architect or AWS Professional Architect certification
Experience with GenAI platforms such as Azure OpenAI, AWS Bedrock, or OpenAI APIs
Exposure to AI-assisted engineering tools including GitHub Copilot, Gemini, Claude Code, and VS Code
Familiarity with enterprise architecture frameworks such as TOGAF
Knowledge of data engineering, analytics, and MLOps/AIOps frameworks
Experience with SaaS operating models and multi-tenant platform design
Familiarity with AI workflow orchestration tools (e.g., Databricks, Airflow, Temporal, Opty)
Skills
AWS Networking
AWS Kinesis
AWS Elasticache
AWS PaaS Services
AWS EKS
AWS Cognito
AWS Redshift
AWS IAM
AWS S3
AWS CloudFront
AWS Route 53
AWS Aurora
AWS RDS
Go
Java
Python
Node.js
ReactJS
TypeScript
JavaScript
REST
gRPC
Thrift
Kafka
Terraform
AWS CloudFormation
Datadog
OpsGenie
Agentic AI
LLMs
Azure OpenAI
AWS Bedrock
OpenAI APIs
GitHub Copilot
Gemini
Claude Code
VS Code
Databricks
Airflow
Temporal
Opty
About Brillio:
Brillio is one of the fastest growing digital technology service providers and a partner of choice for many Fortune 1000 companies seeking to turn disruption into a competitive advantage through innovative digital adoption. Brillio, renowned for its world-class professionals, referred to as “Brillians”, distinguishes itself through their capacity to seamlessly integrate cutting-edge digital and design thinking skills with an unwavering dedication to client satisfaction.
Brillio takes pride in its status as an employer of choice, consistently attracting the most exceptional and talented individuals due to its unwavering emphasis on contemporary, groundbreaking technologies, and exclusive digital projects. Brillio’s relentless commitment to providing an exceptional experience to its Brillians and nurturing their full potential consistently garners them the Great Place to Work® certification year after year.
Architect – Agentic AI, Cloud Transformation & Application Modernization
Primary Skills
•
AWS Networking, AWS Kenesis, AWS Elastic Cache, AWS PaaS Services, AWS EKS, AWS Cognito, Solution Architecture - AWS, AWS Redshift
Job requirements
•
Experience Range: With at least 7 years of experience leading enterprise architecture, cloud transformation, and application modernization initiatives, including substantial hands-on expertise with AWS solutions and Agentic AI platforms.
Responsibilities
Key Responsibilities:
1.
Define and govern enterprise architecture frameworks, standards, and reference architectures to support digital transformation and modernization initiatives across cloud and AI domains.
2.
Lead end-to-end AWS cloud migration projects, including designing landing zones, developing migration strategies (re-host, re-platform, re-factor), and implementing hybrid cloud architectures ensuring scalability, security, and high availability.
3.
Architect and drive application modernization from monolithic to microservices architectures, leveraging API-first and cloud-native patterns and integrating AI-driven tools for code analysis and automation.
4.
Design, implement, and optimize multi-tenant SaaS platforms and integration architectures, including APIs, middleware, and event streaming solutions to enable scalable, reliable services.
5.
Provide technical leadership across engineering teams, promoting adoption of modern engineering practices, microservices, event-driven architecture, and CI/CD pipelines using AWS-native tools.
6.
Establish and enforce architecture governance for security, compliance, and risk management, implementing Infrastructure-as-Code, DevSecOps, and observability best practices.
7.
Collaborate with C-level stakeholders and cross-functional teams to align technology strategy with business objectives, leading architecture workshops and ensuring stakeholder buy-in.
8.
Mentor and guide delivery teams, conducting design reviews, technical assessments, and ensuring successful execution of transformation programs.
Required Skills:
1.
Expertise in AWS architecture, including services such as Cognito, EKS, Elasticache, Kinesis, Redshift, IAM, S3, CloudFront, Route 53, Aurora, and RDS.
2.
Advanced experience with AWS PaaS services and networking concepts.
3.
Hands-on experience with cloud migration strategies and implementation on AWS.
4.
Proficiency in designing and implementing microservices and distributed systems architectures.
5.
Strong programming skills in Go, Java, Python, Node.js, ReactJS, TypeScript, and JavaScript.
6.
Experience with service communication protocols such as REST, gRPC, and Thrift.
7.
Expertise in event-driven architectures and platforms such as Kafka.
8.
Knowledge of Infrastructure-as-Code tools (e.g., Terraform, AWS CloudFormation).
9.
Experience with CI/CD pipelines, DevSecOps, and observability tools (e.g., Datadog, OpsGenie).
10.
Hands-on experience with Agentic AI, LLMs, and AI platform architecture (RAG, orchestration).
Nice to have
Preferred Skills:
1.
Experience with GenAI platforms such as Azure OpenAI, AWS Bedrock, or OpenAI APIs.
2.
Exposure to AI-assisted engineering tools including GitHub Copilot, Gemini, Claude Code, and VS Code.
3.
Familiarity with enterprise architecture frameworks such as TOGAF.
4.
Knowledge of data engineering, analytics, and MLOps/AIOps frameworks.
5.
Experience with SaaS operating models and multi-tenant platform design.
6.
Familiarity with AI workflow orchestration tools (e.g., Databricks, Airflow, Temporal, Opty).
Desired Qualifications:
1.
Bachelor’s degree in Computer Science, Information Technology, Software Engineering, or a closely related discipline.
2.
AWS Certified Solutions Architect or AWS Professional Architect certification.
3.
TOGAF or equivalent enterprise architecture certification.
Know more about PPE: https://www.brillio.com/platform-and-product-engineering/
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Equal Employment Opportunity Declaration
Brillio is an equal opportunity employer to all, regardless of age, ancestry, colour, disability (mental and physical), exercising the right to family care and medical leave, gender, gender expression, gender identity, genetic information, marital status, medical condition, military or veteran status, national origin, political affiliation, race, religious creed, sex (includes pregnancy, childbirth, breastfeeding, and related medical conditions), and sexual orientation.
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