{"id":4042382,"url":"https://alion.io/job/java-holdings-aiml-engineer","title":"AI/ML Engineer","company":{"id":4509075,"name":"Java Holdings","domain":"javaholdings.ca","url":"https://alion.io/company/java-holdings","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workable","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Edmonton, Canada"],"countries":["CA"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"OpenAI","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"SQL","optional":false},{"name":"Docker","optional":true},{"name":"Embeddings","optional":true},{"name":"Fine-tuning","optional":true},{"name":"Kubernetes","optional":true},{"name":"LangChain","optional":true},{"name":"LlamaIndex","optional":true},{"name":"Semantic Kernel","optional":true},{"name":"Semantic Search","optional":true},{"name":"Terraform","optional":true}],"status":"live","first_seen_at":"2026-11-03T00:00:00Z","employer_posted_date":"2026-11-03","last_verified_at":"2026-11-10T22:39:49Z","board_verified":true,"closed_at":null,"days_open":8,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":8},"description":"Position Summary\nThe AI/ML Engineer will design, develop, integrate and deploy AI and machine learning solutions that improve business processes, operational efficiency and decision-making across the enterprise.\nThe role focuses on generative AI, large language models (LLMs), retrieval-augmented generation (RAG), AI agents, workflow automation, predictive analytics and production AI operations. The successful candidate will collaborate with business stakeholders, Systems Development and IT to deliver secure, scalable and maintainable solutions using Microsoft technologies, third-party AI platforms and open-source tools.\nKey Responsibilities\nDesign and develop AI applications, LLM-powered solutions, RAG systems and AI agents\nBuild intelligent workflows and integrate AI capabilities with enterprise applications, APIs and data sources\nLiaise with the data and analytics team to develop data pipelines and prepare structured and unstructured data for AI and machine learning applications\nDevelop and evaluate machine learning models for forecasting, classification, prediction and other business use cases\nDeploy, monitor and maintain AI applications and models in production environments\nImplement testing, version control, CI/CD, monitoring and MLOps practices to ensure solution reliability and maintainability\nEvaluate AI solution quality, performance, accuracy, cost and scalability\nApply security, privacy, access control and responsible AI principles in accordance with enterprise policies\nLiaise with other teams to maintain technical documentation and contribute to continuous improvement of enterprise AI solutions\nKey Competencies\nAnalytical thinking and problem-solving.\nStrong software engineering and technical design skills.\nBusiness-oriented approach to solution development.\nEffective communication and collaboration.\nAttention to security, quality and maintainability.\nAdaptability and continuous learning.\nRequirements\nQualifications\nBachelor's degree in Computer Science, Software Engineering, Artificial Intelligence, Data Science or a related field, or equivalent practical experience\n3-5 years of relevant experience in software engineering, AI/ML engineering or applied AI development\nStrong programming skills in Python and working knowledge of SQL\nPractical experience with LLMs, AI APIs, prompt engineering and RAG concepts\nExperience with APIs, data integration, data preparation and software development practices\nFamiliarity with cloud AI platforms, preferably Microsoft Azure, Azure OpenAI or comparable services\nUnderstanding of deployment practices, automated testing, version control and MLOps\nKnowledge of AI evaluation, data privacy, application security and responsible AI principles\nLegally eligible to work in Canada\nNice to have\nExperience with AI frameworks such as LangChain, LlamaIndex or Semantic Kernel\nFamiliarity with vector databases, embeddings, semantic search and AI agent orchestration\nExperience with Microsoft 365, Azure AI services, Microsoft Azure, Azure AI Foundry, Azure OpenAI, Azure Machine Learning or Microsoft Power Platform and enterprise document management systems\nExposure to traditional machine learning, predictive analytics, Docker and CI/CD pipelines\nRelevant cloud, AI or machine learning certifications\nKubernetes and infrastructure-as-code (Terraform)\nFine-tuning and LLM evaluation frameworks\nExperience in a regulated enterprise setting\nBenefits\nExtended Healthcare Plan (Medical, Disability, Dental & Vision)\nGroup RRSP\nGroup Life - 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