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

Strong 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. Excellent 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.

📌 Technical Program & Project Management Associ (Montreal)
🏢 MEDA Engineering u0026 Technical Services
📍 Montreal