AI Solutions Architect (ID#5443)

New Value Solutions, a national IT consulting company, is seeking an AI Solution Architect to define the architecture and set the technical direction for AI-Native projects. This is a senior, architecture-led role that remains hands-on and credible at the code level, providing technical leadership to the cross-functional engineering team that designs, builds, and deploys production-grade application rewrites using AI-native tools and techniques on the Azure platform. Responsibilities: Lead the end-to-end architecture for AI-native applications and modernization initiatives, defining solution architecture, integration patterns, and AI platform strategy. Design and establish an enterprise AI-Native Software Development Lifecycle (SDLC), including architecture standards, governance, reusable templates, and engineering best practices. Produce architecture documentation, reference architectures, technical standards, and implementation guidance for engineering teams. Translate business objectives into scalable AI solutions through architecture design, proof-of-concepts, prototypes, and reference implementations. Define enterprise patterns for AI applications, including RAG, agentic AI, model integration, deployment, and operational readiness. Establish AI-enabled DevSecOps, CI/CD, testing, release management, quality assurance, and governance processes for production AI solutions. Ensure AI solutions meet enterprise security, privacy, regulatory, and Responsible AI requirements while maintaining scalability, reliability, and observability. Evaluate and communicate the effectiveness of AI-native delivery practices, providing recommendations to support broader enterprise adoption. Provide technical leadership, mentoring, architecture reviews, and code guidance to senior developers and engineering teams. Requirements: 12+ years of progressive software development and solution/systems architecture experience, including recent hands-on delivery with LLMs or AI integration (an equivalent combination of education and experience may be considered). Proven experience designing AI-powered solutions (LLM/RAG/agentic systems) and transitioning them from prototype to stable production release, with strong current engineering ability on par with senior developers. Demonstrated experience defining engineering standards and authoring Architecture Definition Documents (ADDs), technical playbooks, and reference architectures. Strong development capability in Python and C#/.NET Core, with object-oriented design. Hands-on experience with agentic orchestration frameworks (e.g., Semantic Kernel, LangGraph, AutoGen, CrewAI) and AI/ML frameworks (e.g., OpenAI SDKs, LangChain, Hugging Face). Familiarity with RAG/GraphRAG, embeddings, and vector databases (e.g., Cosmos DB, pgvector, Qdrant, Azure AI Search). Experience developing and executing AI-driven tests (e.g., LLM evals, regression suites, and automated quality gates). Expert knowledge of designing and implementing cloud-ready solutions on Azure, spanning microservices, containers, CI/CD pipelines, and MLOps practices. Knowledge of APIs, Git, and Agile software development practices. Ability to synthesize complexity and communicate AI capabilities clearly to diverse audiences, including senior stakeholders. Strong collaboration and leadership skills within cross-functional teams. Preferred Requirements: Azure Solutions Architect Expert or AWS Certified Solutions Architect, with demonstrated mastery of Azure OpenAI Service architectures, MLOps orchestration, and enterprise data landing zones. Experience with advanced agentic frameworks and multi-agent orchestration (e.g., CrewAI, LangGraph, AutoGen Studio, Semantic Kernel Agents). Hands-on use of AI coding assistants and agentic development tools (e.g., GitHub Copilot, Cursor) in production delivery. Experience with AI evaluation and benchmarking platforms (e.g., Azure AI Evaluation SDK, DeepEval). Familiarity with AI observability and tracing tools (e.g., Dynatrace, LangSmith, MLflow Tracing, Weights & Biases, PromptFlow). Experience with ASP.NET and .NET 8/10 for cloud-native web applications and APIs. Azure platform experience including Azure App Service, Azure Functions, Container Apps, Azure SQL, Azure Key Vault, Azure DevOps, and Azure Monitor. Experience with Infrastructure as Code (Terraform or Bicep). Experience in regulated industries (insurance, healthcare, government, financial services) where compliance, audit, and governance are required. If you have the necessary expertise and able to work in Canada, please submit your resume. While we thank all candidates in advance for their application, only those shortlisted will be contacted. ID# 5443

Lead the end-to-end architecture and technical direction for AI-native applications and modernization initiatives on the Azure platform. Establish enterprise AI-Native SDLC standards, governance, and DevSecOps processes while providing technical leadership to engineering teams.

Requires over 12 years of software development and architecture experience with recent hands-on delivery of LLM or AI integrations. Proficiency in Python, C#/.NET Core, and agentic orchestration frameworks is essential, along with expert knowledge of Azure cloud services.

• CI/CDPreferred
• PythonPreferred

Identified from the job description. Confirm important requirements above.

• AI Architecture
• Azure OpenAI Service
• Python
• C#/.NET Core
• LLM
• RAG
• Agentic AI
• Semantic Kernel
• LangChain
• Vector Databases
• MLOps
• DevSecOps
• Microservices
• CI/CD
• Azure Cloud
• Software Development Lifecycle

• Technology
• Software
• Consulting
• Engineering
• Data & Analytics

Minimum experience

10+ years

Apply by

Sep 3, 2026

Posting language

English

Working hours

40 hours per week

Seniority

Not Applicable

Application method

Direct apply is available