AI Solutions Architect (ID#5443)

New Value Solutions; Vancouver; On-site; CAD 140,000 - 190,000; Full time

Job summary

New Value Solutions seeks an AI Solution Architect to define architecture and set the technical direction for AI-native projects on the Azure platform. This senior, hands-on role provides technical leadership to cross-functional teams designing, building, and deploying production-grade AI-enabled applications.

You will deliver architecture standards, reference architectures, and governance across the software lifecycle, while translating business goals into scalable AI solutions and mentoring

Qualifications

• 12+ years in software development and architecture.
• Proven AI solution design with LLMs, RAG, and agentic systems.
• Experience producing Architecture Definition Documents, playbooks, and reference architectures.
• Strong Python and C#/.NET Core development skills.
• Hands-on with agentic orchestration frameworks and AI/ML tools.
• Ability to communicate AI capabilities to senior stakeholders.

Responsibilities

• Lead end-to-end architecture for AI-native applications and modernization initiatives.
• Define enterprise AI platform strategy and integration patterns.
• Produce architecture documentation, reference architectures, and technical standards.
• Translate business objectives into scalable AI solutions with prototypes and references.
• Define enterprise patterns for AI applications (RAG, agentic AI, deployment, ops).
• Establish AI-enabled DevSecOps, CI/CD, testing, and release governance.
• Ensure AI solutions meet security, privacy, regulatory and Responsible AI requirements.
• Provide technical leadership, architecture reviews, and code guidance to senior engineers.

Skills

AI architecture

Python

C#/.NET

Cloud architecture

Lead teams

Stakeholder communication

API design

DevSecOps

MLOps

LLMs

Tools

Semantic Kernel

LangGraph

AutoGen

CrewAI

OpenAI SDKs

LangChain

Hugging Face

Azure OpenAI

Job description

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.
• Experience with Infrastructure as Code (Terraform or Bicep).
• Experience in regulated industries (insurance, healthcare, government, financial services) where compliance, audit, and governance are required.