{"id":3969766,"url":"https://alion.io/job/fujitsu-senior-ai-application-developer-evergreen","title":"Senior AI Application Developer-Evergreen","company":{"id":896,"name":"Fujitsu","domain":"fujitsu.com","url":"https://alion.io/company/fujitsu-poland-sp-z-o-o","size_band":"5000+","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"SuccessFactors","truth_index":{"grade":"A","score":100,"open_postings":9,"ghost_share":0,"stale_share":0,"repost_share":0.222,"time_to_fill_p50_days":12,"computed_at":"2026-11-09T06:03:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Montreal, Canada"],"countries":["CA"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"Anthropic","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"C#","optional":false},{"name":"CI/CD","optional":false},{"name":"Copilot","optional":false},{"name":"Embeddings","optional":false},{"name":"Function Calling","optional":false},{"name":"GCP","optional":false},{"name":"Java","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"LLMOps","optional":false},{"name":"Machine Learning","optional":false},{"name":"OpenAI","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"SQL","optional":false},{"name":"TypeScript","optional":false}],"status":"live","first_seen_at":"2026-11-09T15:37:35Z","employer_posted_date":"2026-11-09","last_verified_at":"2026-11-09T21:48:17Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"At Fujitsu, we are driven by our purpose to make the world more sustainable by building trust in society through innovation.\nWe have been a pioneer in technology and innovation for over 80 years, and we are committed to using our expertise to help businesses and organizations transform for the digital age. We believe that digital transformation is essential to creating a more sustainable future. That's why we are working with our customers to develop solutions that can help them reduce their environmental impact, improve their efficiency, and create a more equitable society.\nWe are committed to contributing to the United Nations Sustainable Development Goals (SDGs). These goals are a blueprint for a better future for all, and we believe that technology can play a vital role in achieving them.\nIf you share our passion for making a meaningful impact on the world, we invite you to join our global family of 130,000 employees spanning more than 50 countries. We are a diverse workforce, and we offer a wide range of opportunities for you to grow and develop your career.\nTogether, we can create a more sustainable future for all.\nKey Responsibilities\nDesign AI-enabled solution architectures, including RAG, agentic workflows, tool/function calling, and hosted or fine-tuned models.\n\nDevelop backend services, APIs, and frontend integrations to embed AI capabilities into applications.\n\nDesign and optimize prompts, retrieval pipelines, embeddings, context management, and guardrails.\n\nEstablish evaluation and quality assurance frameworks to measure accuracy, reliability, hallucinations, latency, and operational costs.\n\nManage the deployment, monitoring, and maintenance of AI solutions in production environments using LLMOps/MLOps practices, CI/CD pipelines, and version control.\n\nEnsure AI security and responsible AI practices, including data protection, PII handling, access controls, and risk mitigation.\n\nCollaborate closely with customers and cross-functional teams to ensure compliance with security requirements, established processes, and applicable standards.\n\nMentor developers, lead code and design reviews, and establish technical standards and best practices.\n\nCommunicate technical decisions, risks, and trade-offs effectively to both technical and non-technical stakeholders.\n\nRequired Qualifications and Experience\n6-10+ years of software engineering experience, including at least 3 years of hands-on experience delivering AI/LLM-powered features in production environments.\n\nStrong proficiency in Python and/or other programming languages such as TypeScript, Java, or C#.\n\nSolid experience in API design, microservices architecture, and cloud-native application development.\n\nHands-on experience with Large Language Model (LLM) APIs, including mandatory experience with GitHub Copilot, and familiarity with Anthropic, OpenAI, and open-source models.\n\nStrong understanding of embeddings, vector databases, RAG pipelines, orchestration frameworks, and agent-based architectures.\n\nExperience with at least one major cloud platform: AWS, Azure, or GCP.\n\nExperience with containerization, CI/CD pipelines, and Infrastructure as Code (IaC).\n\nStrong knowledge of software testing, observability, performance monitoring, and cost optimization.\n\nWorking knowledge of data pipelines, SQL/NoSQL databases, and machine learning fundamentals.\n\nAbility to work closely with customers to ensure compliance with security requirements and established processes.\n\nAt Fujitsu, we are committed to creating a diverse and inclusive workplace where everyone feels valued and respected. 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