Technical Architect

Shree Narayani Networking Solutions•New York City, NY

11h

About The Position

The Technical Architect will lead end-to-end architecture, integration strategy, and technical governance for an AI-powered enterprise platform using .NET, Angular, Azure, and Azure OpenAI. The role includes approximately 30% hands-on work, such as proofs of concept, reference implementations, architecture validation, and code reviews. The architect will design solutions involving LLMs, RAG, Agentic AI, Azure services, and integrations with ServiceNow, Azure DevOps, and other enterprise systems. The role establishes and enforces coding, architecture, security, scalability, AI governance, accessibility, and automated quality standards. Solutions should address performance, high availability, disaster recovery, cost optimization, security, and resilience. The position also involves maintaining architecture documentation and diagrams, mentoring developers, conducting code reviews, participating in technical interviews, and communicating architecture decisions to business and technical stakeholders. The architect will design Azure DevOps pipeline strategies covering CI/CD, static analysis, automated testing, security scans, and regression testing, and will manage technical debt and root-cause analysis for design issues. Success is measured by timely publication and adoption of standards, operational delivery pipelines with quality gates, successful integrations, and active technical debt management. The posting identifies the role as Sr. Technical Architect for Con Edison in Manhattan, New York. Local candidates with utilities experience are preferred. An on-site interview is required; H1B candidates are not accepted.

Requirements

12+ years of software development experience, including 5+ years as an architect.
Production experience with .NET, Angular, Azure, and AI integrations.
Experience with microservices, REST APIs, and enterprise security practices.
Bachelor's degree in Computer Science or a related field, or equivalent experience.
Local candidates with utilities experience are preferred.
Must attend an on-site interview.
H1B candidates are not accepted.

Nice To Haves

Utilities or energy industry background.
Experience with legacy modernization, ServiceNow, DevOps automation, and AI coding assistants.
Advanced Azure, cloud, or architecture certifications.
Local candidacy and utilities experience.

Responsibilities

Lead end-to-end architecture, integration strategy, and technical governance for an AI-powered enterprise platform.
Perform approximately 30% hands-on work, including proofs of concept, reference implementations, architecture validation, and code reviews.
Architect solutions involving LLMs, RAG, Agentic AI, Azure services, and integrations with ServiceNow, Azure DevOps, and other enterprise systems.
Establish and enforce coding, architecture, security, scalability, AI governance, accessibility, and automated quality standards.
Design for performance, high availability, disaster recovery, cost optimization, security, and resilience.
Create and maintain architecture documents, diagrams, decision records, and reference implementations.
Mentor developers, lead code reviews, enforce pull-request quality gates, and participate in technical interviews.
Design Azure DevOps pipeline strategies for CI/CD, static analysis, automated testing, security scans, and regression testing.
Identify technical debt and recommend paydown plans; lead root-cause analysis for design issues.
Present architecture decisions and recommendations to business and technical stakeholders.
Support timely publication and adoption of standards, operational delivery pipelines with quality gates, successful integrations, and active technical debt management.