AI Solutions Architect – Generative AI & Enterprise Applications

Contract Duration: 1 Year

Position Overview

We are seeking an experienced AI Solutions Architect – Generative AI & Enterprise Applications to lead the design and delivery of enterprise-grade AI solutions. The ideal candidate will have 10+ years of experience in software engineering, solution architecture, or enterprise technology , with strong hands-on experience designing AI-powered applications and integrating contemporary generative AI capabilities into existing enterprise environments.

The successful candidate will work closely with business stakeholders, data teams, software engineers, cloud architects, and security teams to define AI strategies and deliver scalable, secure, and production-ready solutions using Generative AI, LLMs, cloud platforms, APIs, and enterprise application architectures .

Required Experience & Qualifications

- 10+ years of experience in software engineering, solution architecture, enterprise architecture, or a related technology discipline.
- Proven experience designing and delivering enterprise-scale AI, machine learning, or intelligent automation solutions .
- Strong understanding of Generative AI, Large Language Models (LLMs), prompt engineering, RAG architectures, embeddings, vector search, and AI application design .
- Hands-on experience with Python and modern AI/ML development frameworks and libraries.
- Experience designing AI-powered applications, APIs, microservices, and distributed systems for enterprise environments.
- Robust experience with at least one major cloud platform such as AWS, Microsoft Azure, or Google Cloud Platform (GCP) .
- Experience integrating AI solutions with enterprise applications, databases, APIs, data platforms, and business systems .
- Strong understanding of AI architecture patterns, data flows, system integration, scalability, availability, and performance .




- Experience designing secure AI solutions with consideration for data privacy, access control, authentication, governance, and responsible AI practices .
- Ability to translate complex business requirements into technical architectures, solution designs, and implementation roadmaps .
- Experience producing architecture diagrams, technical specifications, solution proposals, and design documentation .
- Strong collaboration skills with developers, data engineers, product teams, security teams, business stakeholders, and senior leadership.
- Excellent analytical, problem-solving, communication, and stakeholder-management skills.

Preferred Qualifications
- Experience with LLM platforms and services such as Azure OpenAI, OpenAI APIs, Amazon Bedrock, Google Vertex AI, or similar technologies .
- Experience implementing RAG pipelines, vector databases, semantic search, document intelligence, and enterprise knowledge assistants .
- Familiarity with AI frameworks and orchestration technologies such as LangChain, LlamaIndex, or similar frameworks .
- Experience with Databricks, Snowflake, data lakes, data warehouses, or enterprise data platforms .
- Knowledge of MLOps/LLMOps , including model deployment, evaluation, monitoring, versioning, and CI/CD for AI applications.
- Experience with Docker, Kubernetes, Terraform, and cloud-native architectures .
- Familiarity with agentic AI, AI agents, tool calling, workflow orchestration, and multi-agent architectures .
- Understanding of AI governance, model risk management, responsible AI, and enterprise security requirements .
- Experience modernizing legacy applications and introducing AI capabilities into existing enterprise technology landscapes .
- Knowledge of Agile delivery methodologies and experience leading architecture initiatives across large transformation programs.
- Relevant cloud, AI/ML, or architecture certifications are considered an asset.

📌 AI Solutions Architect (Canada)
🏢 Trident Staff
📍 Canada