Forward Deployed Engineering Instructor (Contract) (Canada)

Forward Deployed Engineering Instructor (Contract) (Canada)

20 Oct
|
WeCloudData
|
Canada

20 Oct

WeCloudData

Canada

About Us

WeCloudData is a leading data and AI training academy dedicated to delivering high-quality education to students, professionals, and corporate clients. We also provide consulting and career services to support learners and organizations beyond the classroom.

Over the next decade, our goal is to impact millions of learners and help shape the future of work through excellent learning experiences, technological innovation, and work-integrated learning opportunities. We are committed to staying at the forefront of technology and workforce education.

Job Description

We are looking for experienced and motivated Forward Deployed Engineering Instructors to support our 6-week Overseas Bootcamp, scheduled to begin around Nov 2026. We are hiring both Online and Onsite Instructors for delivery in Saudi Arabia.

This role is ideal for candidates with strong hands-on experience in applied AI, full-stack engineering, enterprise AI architecture, AI application deployment, or related fields, combined with strong communication and mentoring skills.

Candidates must be available to commit to the full program period, with additional availability potentially required for onboarding, preparation, and program setup

Key Responsibilities

- Deliver lectures, demonstrations, hands-on labs, technical review sessions, and Q&A; sessions throughout the bootcamp.

- Teach and mentor students on Forward Deployed Engineering concepts, including applied AI, enterprise AI architecture, agent engineering, enterprise systems integration, deployment, evaluation, security, and governance

- Guide students in building AI applications using LLMs, prompt engineering, retrieval-augmented generation (RAG), AI agents, workflow orchestration, APIs, databases, and cloud deployment workflows

- Support students with hands-on technical exercises and troubleshooting across AI models, data pipelines, full-stack applications, enterprise integrations, and cloud environments.

- Explain technical concepts clearly and connect theory with practical, real-world applications.

- Monitor student progress and provide timely technical and academic feedback.

- Mentor students through the four-week end-to-end AI implementation case study and two-week real-client capstone, including client discovery, requirements definition, solution architecture, implementation, testing, user validation,



deployment readiness, and executive presentations.

- Support students from diverse technical backgrounds by adapting explanations and teaching approaches as needed.

- Collaborate with WeCloudData faculty and program staff to maintain a consistent and high-quality learning experience.

- Review existing course materials when requested and provide technical feedback to improve accuracy, clarity, and hands-on relevance.

- Help identify gaps, issues, or outdated technical content and recommend practical improvements.

- Support other reasonable instructional activities related to the program.

General Required Qualifications

· Minimum of 3 years of relevant professional experience in AI engineering, software engineering, full-stack development, enterprise AI architecture, cloud computing, or a closely related technical field.

· Strong practical experience with programming and full-stack application development, including APIs, databases, backend workflows, and user interfaces.

· Good understanding of applied machine learning, generative AI, and LLMs, including selecting appropriate approaches such as prompting, RAG, fine-tuning, AI agents, or traditional ML.

· Hands-on experience building AI agents and automated workflows using tool calling, memory, structured outputs, orchestration, and human-in-the-loop controls.

· Practical experience with enterprise data preparation, embeddings, vector databases, and RAG pipelines.

· Understanding of enterprise AI system architecture, including application, model, data, integration, and infrastructure layers across cloud, on-premises, or hybrid environments.

· Familiarity with containerized applications, model serving, inference endpoints, and deployment workflows.

· Practical experience with cloud platforms and AI application testing, including unit, integration, end-to-end testing, and evaluation of LLMs, RAG systems, and agents.

· Strong understanding of AI security and governance,



including authentication, access control, prompt injection, data privacy, guardrails, and responsible AI practices.

· Strong English communication skills, both spoken and written, with the ability to explain technical concepts clearly.

· Strong problem-solving and troubleshooting skills.

· Ability to work effectively with students, instructors, teaching assistants, and program staff.

· Ability to quickly adapt to recent tools, platforms, technical environments, and existing teaching materials.

Preferred Experience

· Prior experience teaching, mentoring, coaching, or facilitating technical training programs.

· Experience delivering hands-on technical labs or workshops.

· Experience mentoring student or junior developer projects.

· Hands-on experience building or supporting real-world AI applications, agentic workflows, enterprise integrations, or production AI solutions.

· Experience working with real-world clients or industry projects.

· Experience reviewing, improving, or contributing to technical course materials or instructional content is an asset, but not required.

Location

- Onsite Instructor: In-person delivery in Saudi Arabia, with approved travel-related expenses covered.

- Online Instructor: Must be available to deliver live online training sessions from 9:00 AM to 5:00 PM Saudi Arabia time (AST).

Schedule and Contract Details

- Job Type: Fixed-term contract.

- Program Duration: 6 Weeks.

- Expected Program Start Date: Around Nov 29, 2026

- Instructor Availability: Availability may be required starting around Nov 23, 2026 for onboarding, preparation, and program setup.

- Schedule: Final teaching schedule will depend on the program structure and delivery format.

- Contract details and instructional expectations: To be discussed during the interview process.

Application question(s):

- Are you willing and able to travel to Riyadh, Saudi Arabia, if required for this role?
- Are you available to teach between 9:00 AM and 5:00 PM Riyadh time (Arabia Standard Time, UTC+3), as required?
- Please briefly describe your previous teaching or training experience, including the subjects you taught, your target audience, and whether the instruction was delivered online or in person.

Work Location: Remote

📌 Forward Deployed Engineering Instructor (Contract) (Canada)
🏢 WeCloudData
📍 Canada

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