job summary:
We are seeking a highly motivated Technical Solutions Architect with 12+ years of software development experience, including 5+ years as a Technical Solutions Architect, to lead the architecture, design, and technical governance of an AI-powered enterprise application platform. The role will define the end-to-end architecture, integration strategy, and code quality standards for a solution built on .NET, Angular, Microsoft Azure, Azure OpenAI, and Agentic AI technologies, with integrations to ServiceNow, Azure DevOps, and other enterprise systems.
This is a hands-on architecture leadership role with approximately 30% hands-on responsibility for proofs of concept, reference implementations, architecture validation, and code reviews. The role will define and enforce coding standards, architecture patterns, security controls, scalability principles, AI governance standards, accessibility requirements, and automated quality gates to support secure, resilient, and maintainable enterprise solutions.
Key Responsibilities
· Design end-to-end enterprise solutions on Microsoft Azure using .NET services and Angular front ends.
· Design and govern the application's AI architecture, including Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Agentic AI workflows, prompt orchestration, model integration, AI observability, model evaluation, and Human-in-the-Loop controls.
· Select appropriate Azure services, including App Service, Functions, AKS, Container Apps, API Management, Service Bus, Event Hubs, Azure SQL, Cosmos DB, Key Vault, and Azure OpenAI.
· Design for performance, high availability, disaster recovery, cost optimization, security, scalability, and resilience before development begins.
· Define the data architecture, including data models, caching, storage, and integration patterns.
· Design integrations with ServiceNow, Azure DevOps, and enterprise systems, including APIs, authentication, data flow, and error handling.
· Build proofs of concept and evaluate tools and vendors before finalizing designs.
· Create and maintain architecture documents, diagrams, decision records, coding standards, and reference implementations.
· Define coding standards for C#, .NET, Angular, TypeScript, JavaScript, Python, SQL, PowerShell, and YAML, including WCAG accessibility and UI performance.
· Lead code reviews and enforce pull-request quality gates.
· Establish standards and governance for Responsible AI, model lifecycle management, AI security, AI coding assistants, and review of AI-generated code.
· Design the Azure DevOps pipeline strategy with static analysis, automated testing, security scans, code coverage, and regression testing.
· Identify technical debt, recommend a paydown plan, lead design-related root-cause analysis, mentor developers, and participate in technical interviews.
Required Skills & Experience
· 12+ years in software development, including 5+ years as a Technical Solutions Architect for multi-system enterprise applications from requirements through production.
· Proven experience architecting and delivering AI-enabled enterprise applications, including integration of Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and AI Agents using Azure OpenAI and Azure AI Services.
· Production development experience with C#, .NET 8 or later, ASP.NET Core Web API, Entity Framework Core, and SQL Server or Oracle.
· Experience building Angular 17 or later and TypeScript front ends, including component design and state management.
· Experience designing and operating production workloads on Microsoft Azure, including Docker and Kubernetes (AKS).
· Demonstrated application of Microservices Architecture, REST APIs, Event-Driven Architecture, SOLID Principles, and Clean Architecture.
· Enterprise integration experience with REST APIs, Webhooks, Messaging Platforms, API Gateways, and Service-to-Service Authentication.
· Experience with Azure API Management and Single Sign-On using Microsoft Entra ID or Okta, leveraging SAML, OAuth 2.0, and OpenID Connect.
· Experience with Azure DevOps Repos, Boards, Build and Release Pipelines, CI/CD Automation, and Automated Regression Testing, including Infrastructure as Code using Terraform or Bicep.
· Strong understanding of Application Security, including OWASP Top 10, Threat Modeling, Secure Coding Practices, and Security-by-Design Principles.
· Ability to communicate and present technical architecture decisions, trade-offs, and recommendations to business and technical stakeholders.
· Proven experience taking enterprise architectures from requirements through production while maintaining design integrity and code quality.
Preferred Skills & Experience
· Experience with AI coding assistants such as GitHub Copilot or Claude Code.
· Experience with ServiceNow REST APIs, incidents, change requests, and workflows.
· Experience with Application Insights, Azure Monitor, Playwright or Selenium, xUnit, Jasmine, or Jest.
· Experience with Python, JavaScript, PowerShell or Bash, and secrets management using HashiCorp Vault or Azure Key Vault.
· Utility or energy industry experience, including NERC CIP and SOX compliance.
· Experience modernizing legacy .NET Framework applications to the cloud.
· Proven experience taking architectures from requirements through production and maintaining design and code quality.
Education and Qualifications
· Bachelor's Degree or higher in Computer Science, Engineering, Information Systems, or a related field, or equivalent professional experience.
· Advanced Azure, cloud, security, or architecture certifications preferred.
location: New York, New York
job type: Contract
salary: $80 - 83 per hour
work hours: 9am to 5pm
education: Bachelors
responsibilities:
We are seeking a highly motivated Technical Solutions Architect with 12+ years of software development experience, including 5+ years as a Technical Solutions Architect, to lead the architecture, design, and technical governance of an AI-powered enterprise application platform. The role will define the end-to-end architecture, integration strategy, and code quality standards for a solution built on .NET, Angular, Microsoft Azure, Azure OpenAI, and Agentic AI technologies, with integrations to ServiceNow, Azure DevOps, and other enterprise systems.
This is a hands-on architecture leadership role with approximately 30% hands-on responsibility for proofs of concept, reference implementations, architecture validation, and code reviews. The role will define and enforce coding standards, architecture patterns, security controls, scalability principles, AI governance standards, accessibility requirements, and automated quality gates to support secure, resilient, and maintainable enterprise solutions.
Key Responsibilities · Design end-to-end enterprise solutions on Microsoft Azure using .NET services and Angular front ends.
· Design and govern the application's AI architecture, including Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Agentic AI workflows, prompt orchestration, model integration, AI observability, model evaluation, and Human-in-the-Loop controls.
· Select appropriate Azure services, including App Service, Functions, AKS, Container Apps, API Management, Service Bus, Event Hubs, Azure SQL, Cosmos DB, Key Vault, and Azure OpenAI.
· Design for performance, high availability, disaster recovery, cost optimization, security, scalability, and resilience before development begins.
· Define the data architecture, including data models, caching, storage, and integration patterns.
· Design integrations with ServiceNow, Azure DevOps, and enterprise systems, including APIs, authentication, data flow, and error handling.
· Build proofs of concept and evaluate tools and vendors before finalizing designs.
· Create and maintain architecture documents, diagrams, decision records, coding standards, and reference implementations.
· Define coding standards for C#, .NET, Angular, TypeScript, JavaScript, Python, SQL, PowerShell, and YAML, including WCAG accessibility and UI performance.
· Lead code reviews and enforce pull-request quality gates.
· Establish standards and governance for Responsible AI, model lifecycle management, AI security, AI coding assistants, and review of AI-generated code.
· Design the Azure DevOps pipeline strategy with static analysis, automated testing, security scans, code coverage, and regression testing.
· Identify technical debt, recommend a paydown plan, lead design-related root-cause analysis, mentor developers, and participate in technical interviews.
qualifications:
Required Skills & Experience
· 12+ years in software development, including 5+ years as a Technical Solutions Architect for multi-system enterprise applications from requirements through production.
· Proven experience architecting and delivering AI-enabled enterprise applications, including integration of Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and AI Agents using Azure OpenAI and Azure AI Services.
· Production development experience with C#, .NET 8 or later, ASP.NET Core Web API, Entity Framework Core, and SQL Server or Oracle.
· Experience building Angular 17 or later and TypeScript front ends, including component design and state management.
· Experience designing and operating production workloads on Microsoft Azure, including Docker and Kubernetes (AKS).
· Demonstrated application of Microservices Architecture, REST APIs, Event-Driven Architecture, SOLID Principles, and Clean Architecture.
· Enterprise integration experience with REST APIs, Webhooks, Messaging Platforms, API Gateways, and Service-to-Service Authentication.
· Experience with Azure API Management and Single Sign-On using Microsoft Entra ID or Okta, leveraging SAML, OAuth 2.0, and OpenID Connect.
· Experience with Azure DevOps Repos, Boards, Build and Release Pipelines, CI/CD Automation, and Automated Regression Testing, including Infrastructure as Code using Terraform or Bicep.
· Strong understanding of Application Security, including OWASP Top 10, Threat Modeling, Secure Coding Practices, and Security-by-Design Principles.
· Ability to communicate and present technical architecture decisions, trade-offs, and recommendations to business and technical stakeholders.
· Proven experience taking enterprise architectures from requirements through production while maintaining design integrity and code quality.
Preferred Skills & Experience
· Experience with AI coding assistants such as GitHub Copilot or Claude Code.
· Experience with ServiceNow REST APIs, incidents, change requests, and workflows.
· Experience with Application Insights, Azure Monitor, Playwright or Selenium, xUnit, Jasmine, or Jest.
· Experience with Python, JavaScript, PowerShell or Bash, and secrets management using HashiCorp Vault or Azure Key Vault.
· Utility or energy industry experience, including NERC CIP and SOX compliance.
· Experience modernizing legacy .NET Framework applications to the cloud.
· Proven experience taking architectures from requirements through production and maintaining design and code quality.
Education and Qualifications
· Bachelor's Degree or higher in Computer Science, Engineering, Information Systems, or a related field, or equivalent professional experience.
· Advanced Azure, cloud, security, or architecture certifications preferred.
skills:
.NET,.NET Framework,AI coding assistants,ASP.NET Core,Agentic AI workflows,AI Agents,Angular,API Gateways,API Management,Azure API Management,Application Insights,APIs,AI-enabled,automated testing,AKS,Microsoft Entra ID,Azure AI Services,Event Hubs,Bash,Bicep,C#,caching,Claude Code,cloud,Azure Monitor,code coverage,AI-generated code,code reviews,Container Apps,CI/CD,Cosmos DB,data architecture,data flow,disaster recovery,Docker and Kubernetes,Enterprise integration,Messaging Platforms,enterprise systems,enterprise applications,Entity Framework Core,Event-Driven Architecture,Retrieval-Augmented Generation (RAG),GitHub Copilot,HashiCorp Vault,Human-in-the-Loop,AI architecture,Information Systems,Computer Science,Jasmine,JavaScript,Jest,secrets management,Azure Key,Key Vault,Large Language Models,LLMs,AI observability,model lifecycle management,Microservices Architecture,Microsoft Azure,Azure services,Azure,Azure DevOps,SQL Server,model evaluation,Clean Architecture,OAuth 2.0,Okta,OWASP Top 10,OpenAI,OpenID Connect,Oracle,Playwright,prompt orchestration,Python,regression testing,REST APIs,Azure SQL,SQL,Secure Coding Practices,SAML,Selenium,ServiceNow,Single Sign-On,coding standards,software development,code quality,Application Security,SOLID Principles,static analysis,high availability,model integration,technical debt,Infrastructure as Code using Terraform,TypeScript,authentication,security scans,Web API,WCAG,Webhooks,PowerShell,xUnit,YAML,Ability to communicate,resilience,architecture,architecting,Automation,Automated,Azure,Azure Key Vault,cost optimization,Responsible AI,data models,design integrity,diagrams,enterprise architectures,governance,NERC CIP,AI security,mentor,Azure OpenAI,state management,root-cause analysis,security,SOX compliance,scalability,Security-by-Design,error handling,technical architecture,Threat Modeling,workflows
Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.
At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact HRsupport@randstadusa.com.
Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad Digital offers a comprehensive benefits package, including: medical, prescription, dental, vision, AD&D, and life insurance offerings, short-term disability, and a 401K plan (all benefits are based on eligibility).
This posting is open for thirty (30) days.