HaknaSoft is a Canadian technology consulting firm specializing in enterprise architecture, cloud engineering, data platforms, and end-to-end software delivery.

We work with leading organizations to design, build, and modernize complex enterprise platforms using cloud-native technologies, modern engineering practices, and emerging AI capabilities.

We are looking for an experienced Senior AI Engineer to join our engineering team and contribute to the implementation and evolution of enterprise AI solutions powered by Google Gemini Enterprise and Google Cloud Platform (GCP).

About the Role

As a Senior AI Engineer, you will be responsible for designing, developing, integrating, and operationalizing AI-powered capabilities within a complex enterprise environment. The role focuses on leveraging Gemini Enterprise to enable intelligent search, knowledge discovery, conversational AI, enterprise data connectivity, and AI-driven business workflows.

You will collaborate closely with Solution Architects, Data Engineers, Software Engineers, Product Owners, and business stakeholders to translate business requirements into secure, scalable, and production-ready AI solutions. This is a hands-on engineering role requiring strong technical ownership, autonomy, and the ability to take solutions from initial design through production deployment.

Key Responsibilities

- Design, configure, and implement enterprise AI capabilities using Google Gemini Enterprise.
- Develop and configure AI agents, enterprise search experiences, and conversational workflows.
- Integrate Gemini Enterprise with internal business applications and enterprise data sources.




- Implement enterprise connectors and secure access to structured and unstructured information.
- Configure grounding, retrieval, and contextual data access to improve response accuracy and relevance.
- Support integration with enterprise identity providers and SSO solutions.
- Develop AI-powered features and services leveraging Google Cloud and Gemini APIs where appropriate.
- Design and implement Retrieval-Augmented Generation (RAG) solutions when required.
- Build backend services, APIs, and integration components connecting enterprise applications with AI capabilities.
- Implement agent-based workflows and tool integrations to support business processes.
- Develop reusable components and integration patterns to accelerate future AI initiatives.
- Evaluate and select appropriate approaches between native Gemini Enterprise capabilities and custom AI development.
- Integrate AI solutions with Google Cloud services, including:
- BigQuery
- Pub/Sub
- IAM
- Connect enterprise data sources, including document repositories, databases, and collaboration platforms such as SharePoint.
- Collaborate with Data Engineers to ensure reliable ingestion, synchronization, indexing, and access to enterprise data.

4. Security, Governance & Responsible AI

- Implement enterprise-grade authentication, authorization, and access control.




- Ensure AI solutions respect source-system permissions and data-access restrictions.
- Apply security and privacy controls for confidential and sensitive financial information.
- Implement logging, monitoring, auditability, and observability for AI integrations.
- Help establish AI governance practices, including data protection, response quality, evaluation, and responsible AI usage.

5. Engineering Excellence & Delivery

- Own assigned technical deliverables from design through production.
- Contribute to architecture discussions, technical design, and code reviews.
- Develop automated tests and validation strategies for AI-powered features.
- Evaluate AI responses for accuracy, relevance, grounding, and consistency.
- Troubleshoot integration and production issues.
- Maintain technical documentation and contribute to engineering standards.
- Work within an Agile delivery model, participating in sprint planning, backlog refinement, daily stand-ups, demonstrations, and retrospectives.

Required Qualifications

- 5+ years of qualified software engineering experience.
- 2+ years of hands-on experience developing AI/ML or Generative AI solutions.
- Practical experience implementing or integrating Google Gemini Enterprise (formerly Google Agentspace).
- Strong experience with Google Cloud Platform and enterprise cloud architectures.
- Hands-on experience with Gemini APIs and/or Vertex AI.
- Strong understanding of LLMs, RAG, embeddings, grounding, prompt engineering, and agent-based architectures.
- Experience integrating AI solutions with enterprise applications and data sources.
- Strong pr

📌 Senior AI Engineer – Gemini Enterprise (Montreal)
🏢 HaknaSoft
📍 Montreal