We are recruiting an experienced Technical Program & Project Management Associate to join our team to support our client in the automotive industry. NOTE: Hybrid
RESPONSIBILITIES Detect, understand, diagnose, and resolve complex software and electronics issues quickly and accurately
Work with a cross-functional team responsible for defining, integrating, and maturing intelligent diagnostic workflows that span embedded vehicle behavior, cloud-based observability, AI reasoning engines, and human support processes.
Help define system-level requirements, interfaces, and workflows for End to End Software Diagnostics & Observability initiative
Support development of AI-powered embedded vehicle diagnostics capabilities that improve issue detection, case intake quality, root-cause isolation, and guided repair
Work across embedded, cloud, data, and AI/ML domains to connect vehicle diagnostics with intelligent reasoning and observability workflows
Help translate business, service, and engineering needs into technical requirements for diagnostic systems, AI engines, APIs, workflow orchestration, and support tooling
Support AI/ML driven capabilities such as case intake assistance, knowledge retrieval, diagnostic reasoning, decision support, validation, and orchestration
Define and refine requirements for diagnostic evidence collection, including DTCs, PIDs, Freeze Frame data, logs, event traces, module state, and procedural outcomes
Support design of systems that combine Ford engineering knowledge, diagnostics data, and AI reasoning to isolate likely root causes in embedded vehicle systems
Participate in evaluation and validation of AI system behavior using diagnostic evidence, service data, engineering content, and observability signals
Work with internal teams and suppliers to integrate containerized AI solutions into cloud environments and workflow systems
Help define observability requirements for diagnostic systems, including logs, metrics, traces, dashboards, alerts, and escalation workflows
Participate in system integration, issue triage, root-cause analysis, and cross-functional technical problem solving
Support rapid iteration, testing, and deployment of AI-enabled diagnostic capabilities into engineering and non-production environments
Communicate technical tradeoffs, risks, and recommendations clearly to engineering teams, product teams, and leadership
Work under the guidance of experienced engineers Gather and document user or business requirements, analyze current processes, and translate needs into functional specifications




Understand or help document how systems and components fit together, including integrations, data flows, and technology choices
Participate in the stages of system delivery, from requirements and design through development, testing, deployment, and maintenance
Help define system requirements and ensure components work together to meet performance, reliability, and operational needs
Help prioritize features, maintain a product backlog or roadmap, and coordinate with stakeholders and development teams
REQUIRED SKILLS & QUALIFICATIONS Bachelor’s or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Systems Engineering, Artificial Intelligence, Machine Learning, Robotics, Data Science, or related field from an accredited university (or a WES-evaluated equivalent)
3-6 years of experience in AI/ML engineering, embedded software, systems engineering, cloud engineering, or related areas through internships, research, academic projects, or full-time work
Strong academic foundation in AI/ML engineering with practical familiarity in machine learning, LLMs, retrieval workflows, inference systems, model evaluation, and data pipelines
Robust proficiency in Python
Familiarity with AI/ML prototyping and engineering workflows, including training, inference, prompt-based systems, retrieval-augmented workflows, embeddings, ranking, or reasoning pipelines
Familiarity with software engineering fundamentals, APIs, Git-based development, and containerized application workflows
Interest in embedded systems, vehicle diagnostics, software-defined vehicles, and intelligent support workflows
Ability to translate ambiguous problem statements into structured technical requirements and system behavior
Strong written and verbal communication skills and requirements authoring with the ability to drive high level abstract conversations with leadership
Demonstrated ability through coursework, research, internships, or projects to build or prototype AI/ML enabled systems
Systems Development Life Cycle, Software Systems, Systems Engineering, Product Management, Systems Architecture, Systems Analyst, Software Systems
Understand how an application’s components work together,



and help troubleshoot issues across the system
PREFERRED SKILLS & QUALIFICATIONS Understand or contribute to a basic AI or rules-based feature, such as classifying requests or recommending a next step, while recognizing when human review is needed
Use Google Cloud services to deploy or support an application, store data, or monitor a cloud-based system
Write or maintain basic Python scripts for automation, data processing, or application functionality
Write or maintain Java code for application features, business logic, and error handling
Hands‑on experience with LLMs, semantic retrieval, vector search, ranking systems, agent-based workflows, or decision-support systems
Experience with PyTorch, TensorFlow, scikit-learn, LangChain, Vertex AI, BigQuery, or similar AI/ML and cloud tools.
Experience building chatbots, copilots, AI assistants, search systems, or reasoning systems
Familiarity with evaluation of AI systems for grounding, confidence, traceability, explainability, and policy compliance
Familiarity with embedded software systems, electronic control modules, diagnostics, or connected vehicle technologies
Exposure to DTCs, PIDs, Freeze Frame data, logs, vehicle network data, or diagnostic workflows
Familiarity with GCP, Docker, GitHub, CI/CD, and observability tools such as Dynatrace or Grafana
Experience through internships, research, or projects involving distributed systems, platform integration, or cloud-native services
Ability to work well in a collaborative, agile environment with software, embedded, cloud, AI, and product teams
Strong curiosity, ownership mindset, and willingness to learn quickly in a technically demanding domain
COMPENSATION & BENEFITS $52.00 - $56.00/hour (depending on experience)
Paid Benefits after 90 days (individual and family) – extended medical, out-of-country coverage, dental etc.
Pension eligibility, with employer match, after 1 full year of work (open enrollment every October)
MEDA offers an excellent referral bonus. Great candidates know great candidates.
MEDA Limited is an equal opportunity employer and does not discriminate in employment on the basis of any of the protected reasons as described in the Ontario Human Rights Code. We are committed to providing accommodation for persons with disabilities, as described in the Accessibility for Ontarians with Disabilities Act, 2005, reasonable accommodation requests will be reviewed and granted to those that request assistance during our hiring process.

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📌 Technical Program & Project Management Associ (Quebec City)
🏢 Meda Engineering & Technical Services
📍 Quebec City