On behalf of our public sector client, Affinity is looking for a Senior AI Developer to Senior AI Engineer is a senior, hands-on technical role responsible for the architecture, design, development, testing, and implementation of enterprise-grade artificial intelligence solutions and intelligent automation platforms.

The role provides technical direction across the full AI solution lifecycle, including architecture design, technology selection, software development, integration, governance, security, scalability, and operationalization. The successful candidate will lead complex AI and agentic AI solution design while also contributing directly to hands-on development and implementation activities.

Responsibilities

- Lead the architecture, design, development, testing, and implementation of enterprise AI and intelligent automation solutions.
- Design and build production-grade AI applications, services, APIs, and integrations.
- Develop multi-agent and agentic AI solutions, orchestration frameworks, and intelligent workflow automation capabilities.
- Establish solution architectures, technical standards, reusable frameworks, and development patterns.
- Design and implement Retrieval-Augmented Generation (RAG) solutions, knowledge retrieval platforms, and AI-assisted decision support capabilities.
- Develop and optimize prompts, agents, workflows, reasoning patterns, and AI interaction models.
- Build integrations with enterprise platforms, cloud services, DevOps toolchains, operational systems, and line-of-business applications.
- Lead technical design reviews, architecture assessments, and code reviews.
- Implement AI governance, security controls, observability, monitoring, and operational readiness capabilities.
- Identify and resolve complex technical challenges related to scalability, performance, reliability, and security.
- Mentor developers and provide technical leadership to delivery teams.
- Collaborate with architects, cybersecurity specialists, data engineers, and business stakeholders to ensure solution alignment with enterprise standards.
- Produce architecture documentation, technical specifications,



implementation guidance, and knowledge transfer materials.
- Support deployment, production readiness, troubleshooting, and continuous improvement activities.

Deliverables

- Enterprise AI solution architectures and technical designs.
- Production-ready AI applications, services, APIs, and integrations.
- Multi-agent orchestration frameworks and reusable AI components.
- AI governance, security, monitoring, and operational capabilities.
- Technical standards, design patterns, and development accelerators.
- Architecture documentation, implementation guides, and operational handover materials.
- Knowledge transfer and mentoring of internal teams.

Mandatory Requirements

- Minimum of 8 years of experience in software engineering and solution development.
- Minimum of 5 years of experience designing, developing, and implementing AI, Machine Learning, or Generative AI solutions.
- Minimum of 3 years of experience leading technical architecture or solution design activities for enterprise-scale applications.
- Demonstrated experience designing AI platform architectures, agentic AI solutions, multi-agent systems, and enterprise AI orchestration frameworks.
- Demonstrated experience with Large Language Models (LLMs) and enterprise AI platforms such as Azure OpenAI, OpenAI, Anthropic Claude, Google Gemini, Amazon Bedrock, or equivalent.
- Demonstrated experience with AI development frameworks such as Semantic Kernel, LangChain, LangGraph, AutoGen, CrewAI, or similar enterprise AI frameworks.
- Experience implementing Retrieval-Augmented Generation (RAG), vector databases, embeddings, and knowledge retrieval solutions.
- Experience designing and developing cloud-native architectures using Azure




- Experience leading architecture reviews, technical governance, code reviews, and design assurance activities.
- Experience with microservices, API management, event-driven architectures, distributed systems, DevOps, and CI/CD practices.
- Solid understanding of secure software development, AI governance, application security, and enterprise architecture principles.

Preferred Requirements

- Experience serving as a Solution Architect, Lead Engineer, Principal Engineer, or Technical Lead.
- Experience developing Responsible AI controls, AI governance practices, and risk management approaches.
- Experience implementing AI evaluation, monitoring, observability, and model lifecycle management capabilities.
- Experience designing cybersecurity, DevOps, ITSM, or intelligent automation solutions.
- Experience within large public sector, regulated, or highly governed organizations.
- Relevant certifications in AI, architecture, cloud platforms, or software engineering.
- Experience mentoring developers and supporting engineering capability uplift.
- Knowledge of enterprise architecture frameworks, governance processes, and operational support models.

Affinity Earn Know someone who’s great for this, or any of our open roles? Earn up to $4,000/year for each successful referral through Affinity Earn. You can also earn up to $50,000 for helping us find new clients. Learn about our referral program at https://affinity-group.ca/earn/ or browse our jobs & follow us at https://www.linkedin.com/company/affinity-staffing/jobs/ About Affinity Affinity Group is a technology and business consulting and services company. We believe in creating long term relationships between clients and consultants that foster a mutually beneficial partnership. Affinity is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All employment is decided on the basis of qualifications, merit and business need.

For more information on Affinity, please visit www.affinity-group.ca

Job Number: 13758

📌 Senior AI Engineer (Richmond)
🏢 Affinity
📍 Richmond