{"id":1683284,"url":"https://alion.io/job/scotiabank-senior-ai-engineer","title":"Senior AI Engineer","company":{"id":1754303,"name":"Scotiabank","domain":"scotiabank.com","url":"https://alion.io/company/scotiabank-com","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SuccessFactors","truth_index":null},"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":["Dallas, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":124000,"max_usd":237000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":987},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Azure","optional":false},{"name":"Embeddings","optional":false},{"name":"GCP","optional":false},{"name":"LLM","optional":false},{"name":"LLMOps","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Semantic Search","optional":false},{"name":"Semantic Search","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-09-30T02:00:00Z","employer_posted_date":"2026-09-30","last_verified_at":"2026-10-06T19:23:45Z","board_verified":true,"closed_at":null,"days_open":6,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":6},"description":"Requisition ID: 257198\nJoin a purpose driven winning team, committed to results, in an inclusive and high-performing culture.\nWe are committed to investing in our employees and helping you continue your career at Scotiabank.\nPurpose\nThe Senior AI Engineer is a senior technical individual contributor responsible for designing, building, and operationalizing enterprise grade AI solutions in a highly regulated banking environment. This role provides deep technical leadership across AI engineering, MLOps/LLMOps, and governance by design, ensuring AI solutions are secure, scalable, auditable, and production ready.\nYou will own complex AI systems end to end, influence platform standards, and act as a technical authority for AI delivery-bridging experimentation and enterprise production while meeting strict risk, privacy, and regulatory expectations.\nWhat You’ll Do\nAct as a technical lead for AI engineering initiatives, owning design decisions for complex, high-impact AI solutions.\nDefine and contribute to reference architectures, reusable patterns, and “golden paths” for AI development and deployment across the bank.\nReview and approve AI solution designs to ensure alignment with platform standards, security controls, and governance requirements.\nDesign and implement production-grade AI services and pipelines (batch and real-time) with strong focus on reliability, performance, and operational excellence in the cloud\nLead the packaging and deployment of models as scalable services (APIs, jobs, agents) with clear SLAs, monitoring, alerting, and runbooks.\nOwn complex problem resolution across environments, including production incidents related to AI systems.\nEmbed AI governance directly into engineering workflows, including:\nSecurity and access controls\nData classification and handling\nModel risk management requirements\nPrivacy and consent controls\nResponsible AI principles\nAuditability and regulatory traceability\nPartner closely with Risk, Compliance, Legal, and Architecture teams to ensure AI solutions meet internal and external regulatory expectations.\nLead implementation of Generative AI patterns such as Retrieval-Augmented Generation (RAG), embeddings, semantic search, and agent workflows.\nEnsure GenAI solutions are grounded in approved data sources, governed access, logging, and retention policies.\nDefine evaluation and monitoring approaches for GenAI outputs in regulated use cases.\nDesign and implement automated ML/LLM delivery pipelines covering training, evaluation, approval, deployment, and rollback.\nEstablish standards for model versioning, reproducibility, environment isolation, and controlled releases.\nReduce time-to-production while increasing safety, repeatability, and governance through automation.\nMentor senior and mid-level engineers, raising the overall technical bar across AI engineering\nContribute to internal standards, documentation, and knowledge sharing.\nWhat You'll Bring\nBachelor’s degree in Computer Science, Engineering, or equivalent practical experience.\n8+ years of experience in cloud engineering, with 5+ years focused on AI/ML systems\nExpert-level proficiency in Python, SQL and cloud infrastructure\nHands-on experience deploying AI solutions in cloud environments (Azure and GCP).\nDeep understanding of production concerns: reliability, scalability, observability, cost, and security.\nExperience delivering AI solutions in regulated industries (banking, financial services, insurance, healthcare).\nStrong familiarity with model risk management, audit requirements, and regulatory review processes.\nHands-on experience with enterprise MLOps / LLMOps tooling and platform design.\nExperience designing platform-level AI capabilities, not just individual models.\nInterested?\nIf your experience is closely related but doesn’t align perfectly with every qualification, we do encourage you to apply - you might be the right candidate for this or other roles at Scotiabank!\nAt Scotiabank, every employee is empowered to reach their fullest potential, respected for who they are and, embraced for their differences. That’s why we work to grow and diversify talent and engage employees in a performance-oriented culture.\nWhat's in it for you?\nScotiabank wants you to be able to bring your best self to work - and life, every day. With a focus on holistic well-being, our many flexible benefit programs are designed to help support your unique family, financial, physical, mental, and social health needs.\nLocation(s): United States : Texas : Dallas\nScotiabank is a leading bank in the Americas. Guided by our purpose: \"for every future\", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.\nAt Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. 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