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Technical Solutions Architect
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Posted on: Nov 13, 2026
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New York, New York
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Onsite
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Full-time
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Job Title :
Technical Solutions Architect
Job Type :
Full-Time
Job Location :
New York New York United States
Remote :
No
Job Description :
Recruiting Strategy
- Target candidates with a strong dual background in modern .NET/Angular development and Azure cloud architecture.
- Focus sourcing efforts on candidates with proven production experience integrating Azure OpenAI, LLMs, and RAG into enterprise applications.
- Look for architects who are still hands-on (the role requires 30% hands-on POCs and code reviews), avoiding candidates who only do high-level design.
- Prioritize local New York/Tri-state area talent, as the role requires hybrid on-site work and face-to-face interviews.
- Seek out candidates with utility or energy industry backgrounds, specifically mentioning NERC CIP or SOX compliance on their profiles.
- Screen for strong communication and governance skills, ensuring they can enforce coding standards and mentor development teams.
Role Overview
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 & Outcomes
- 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 & Requirements
Required:
- 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,
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Position Details
Posted:
Nov 13, 2026
Reference Number:
34531-20508
Employment:
Full-time
City:
New York
Job Origin:
CIEPAL_ORGANIC_FEED
