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Technical Architect - AI Solutions Development

Appnovation

Vancouver

On-site

CAD 100,000 - 130,000

Full time

Today
Be an early applicant

Job summary

A global digital partner is seeking a Technical Architect specializing in AI Solutions Development in Vancouver. The role involves designing innovative AI architectures, engaging with clients, and mentoring engineering teams. Ideal candidates should have extensive experience in full-stack engineering and a strong understanding of multi-cloud environments. This position offers opportunities for both personal and professional growth in an inclusive and dynamic work environment.

Benefits

Work-life Balance
Health Benefits Package
Mental Health Support
Personal Days Off
Fitness Allowance
Diversity, Equity & Inclusion initiatives

Qualifications

  • 7+ years full-stack or platform engineering experience with 2+ years in technical leadership.
  • Experience with GenAI: building production LLM applications.
  • Ability to communicate technical concepts clearly.

Responsibilities

  • Design and prototype AI solutions and architectures.
  • Conduct discovery workshops with clients.
  • Implement production AI systems.

Skills

Full-stack engineering
AI application development
Cloud architecture
Client communication
Multi-cloud expertise
Security protocols
Polyglot coding

Education

Cloud certifications (GCP, AWS)

Tools

LangChain
GCP
AWS
TensorFlow
PyTorch
Job description
Technical Architect - AI Solutions Development

About us

Appnovation is a global, full-service digital partner that combines Strategy, Experience & Design, Engineering and Managed Services. We build digital solutions that deliver real impact today and serve as foundations for future growth. Bold ambition. Practical action. Endless possibilities.

ROLE OVERVIEW

In this role, you will design and prototype cutting-edge AI solutions, implement cloud AI architectures, and help guide our continued evolution in AI-driven development practices. This hands‑on role combines deep technical expertise with the ability to translate complex AI concepts into business value for our diverse client base, working directly with clients to define solutions and deliver production‑ready implementations.

RESPONSIBILITIES
  • AI Solution Architecture: Design and prototype multi-cloud reference architectures leveraging GCP, AWS, and others
  • Agentic AI & Integration: Build and implement agentic-LLM patterns, RAG pipelines, and architect solutions with embeddings, vector databases, MCP servers, and AI coding tools
  • Security & Compliance: Embed OWASP GenAI risk mitigations and security best practices across SDLC with AI observability and strong monitoring
  • Client Engagement: Participate in discovery workshops, present solution architectures, and communicate technical concepts to stakeholders
  • Hands-on Development: Prototype solutions, build proof-of-concepts, and implement production AI systems
  • Delivery Support: Contribute to project estimation, scoping and technical specifications; uphold delivery KPIs (security, cost, performance)
  • Team Collaboration: Work with and mentor engineering teams around AI solutions and orchestrated development practices
  • Coordinate: Across internal teams and client stakeholders across timezones
EXPERIENCE

The ideal candidate will have:

  • 7+ years full-stack or platform engineering experience with 2+ years in technical leadership or architecture roles
  • ≥2 years hands-on GenAI: building production LLM applications, prompt engineering, integrating AI coding assistants and autonomous agent frameworks
  • Multi-cloud expertise: GCP (Vertex AI) or AWS (Bedrock, Guardrails)
  • Security-first approach: GenAI-specific threat modeling and guardrails implementation
  • Client communication: Ability to facilitate technical discussions and create clear documentation, slides, and architectural diagrams
  • Strong technical breadth: Polyglot coding (TypeScript/Node.js, Python, Java), AI ecosystem knowledge (LangChain, LangGraph), MLOps practices
  • Prototyping mindset: Experience building proof-of-concepts and production-ready AI implementations
TECHNOLOGIES
  • An understanding of the following, or comparative, technologies:
    • AI Platforms: LangChain, AutoGen, CrewAI, LangGraph, Pydantic AI, PyTorch, TensorFlow, Unsloth, Vertex AI, AWS Bedrock, Azure OpenAI, multi-modal AI
    • Data & Vector Systems: Milvus, Pinecone, Qdrant, RAG pipelines, embeddings
    • Development: AI coding assistants (Cursor, Cline, Windsurf, Claude Code), Next.js, Nuxt.js, React Native
    • CMS & Infrastructure: Contentful, Sanity, Builder.io, Adobe AEM, Terraform, microservices
PREFERRED QUALIFICATIONS
  • Cloud certifications (GCP ML Engineer, AWS ML Specialty)
  • Google Professional Cloud Architect or Google Professional Cloud Developer
  • Enterprise AI governance and regulatory compliance knowledge
WHAT DOES APPNOVATION HAVE TO OFFER?

Appnovation’s development teams are collaborative, friendly and open, and with varied work. We encourage development both professionally and personally! Aside from work, we offer a people and culture-orientated, fun and dynamic environment.

Here are a few more reasons why you should apply:

  • Work-life Balance
  • Lots of opportunities for personal and professional growth
  • Health Benefits Package
  • Mental Health Support
  • Personal Days Off
  • Fertility and Menopause Leave
  • Fitness Allowance
  • D,E&I Initiatives
  • And much more...

Thank you for your interest in a career with Appnovation Technologies! Please note that only those selected for an interview will be contacted.

At Appnovation, we recognize that diverse teams are the strongest teams. Diversity, Equity & Inclusion is not only something that we embrace - we celebrate it! We are proud to be an Equal Opportunity Employer and we encourage applicants from all backgrounds, lived experiences and industries to apply. Come join us at Appnovation, and learn more about how we stay true to our company values as we build better lives through better digital.

Accommodations are available upon request throughout the recruitment process.

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