{"id":3757760,"url":"https://alion.io/job/td-bank-group-senior-developer-technology-delivery-ai-development","title":"Senior Developer, Technology Delivery – AI Development","company":{"id":3167,"name":"TD Bank Group","domain":"td.com","url":"https://alion.io/company/td-bank","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":99,"open_postings":761,"ghost_share":0.004,"stale_share":0.193,"repost_share":0.032,"time_to_fill_p50_days":13,"computed_at":"2026-11-05T05:54:30Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["New York, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":120000,"max":150000,"currency":"USD","period":"year","gross":null,"usd_annual":150000},"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"Agile","optional":true},{"name":"AI Agents","optional":true},{"name":"Azure","optional":true},{"name":"CI/CD","optional":true},{"name":"Embeddings","optional":true},{"name":"Function Calling","optional":true},{"name":"Git","optional":true},{"name":"Incident Management","optional":true},{"name":"Java","optional":true},{"name":"Machine Learning","optional":true},{"name":"OpenAI","optional":true},{"name":"Prompt Engineering","optional":true},{"name":"Python","optional":true},{"name":"RAG","optional":true},{"name":"Rest API","optional":true},{"name":"Spring Boot","optional":true},{"name":"SQL","optional":true},{"name":"Vertex AI","optional":true}],"status":"live","first_seen_at":"2026-11-02T00:00:00Z","employer_posted_date":"2026-11-02","last_verified_at":"2026-11-05T20:40:02Z","board_verified":true,"closed_at":null,"days_open":3,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":3},"description":"Work Location:\nNew York, New York, United States of AmericaHours:\n40Line of Business:\nTechnology SolutionsPay Detail:\n$120,000 - $150,000 USDTD is committed to providing fair and equitable compensation opportunities to all colleagues. Growth opportunities and skill development are defining features of the colleague experience at TD. Our compensation policies and practices have been designed to allow colleagues to progress through the salary range over time as they progress in their role. The base pay actually offered may vary based upon the candidate's skills and experience, job-related knowledge, geographic location, and other specific business and organizational needs.\nAs a candidate, you are encouraged to ask compensation related questions and have an open dialogue with your recruiter who can provide you more specific details for this role.\nJob Description:\nPreferred Qualifications:\nThe Technology Delivery - AI Development role is a hands-on development position focused on designing, building, testing, and supporting artificial intelligence and machine learning solutions across the Compliance, Surveillance and Supervision area. Working with senior developers, data scientists, architects, and business partners, the role contributes to generative AI applications, intelligent automation, reusable AI services, data pipelines, APIs, and integrations with vendor and proprietary platforms. The ideal candidate combines software engineering fundamentals with practical knowledge of Python, machine learning frameworks, large language models, retrieval-augmented generation, prompt engineering, cloud AI services, and responsible AI practices to deliver secure, scalable, explainable, and well-governed solutions.\nResponsibilities:\nDesign, develop, test, and maintain AI-enabled applications, machine learning components, intelligent automation, APIs, and supporting services.\nBuild and enhance generative AI capabilities using large language models, prompt engineering, retrieval-augmented generation, embeddings, vector search, and agent-based workflows.\nPrepare, transform, and validate structured and unstructured data used for model development, grounding, evaluation, and production inference.\nIntegrate AI solutions with enterprise applications, data platforms, vendor products, and cloud services through secure APIs and reusable services.\nDevelop evaluation approaches for model accuracy, relevance, robustness, bias, explainability, latency, and cost, and document results for review.\nImplement monitoring, logging, testing, versioning, and deployment controls across the AI development lifecycle using MLOps and DevSecOps practices.\nApply privacy, security, responsible AI, model risk, data governance, and records-management requirements throughout solution design and delivery.\nTroubleshoot application, data, model, and integration issues and escalate technical risks, limitations, and dependencies in a timely manner.\nCollaborate with developers, data scientists, quality engineers, business analysts, risk partners, and product owners to translate use cases into production-ready solutions.\nContribute to code reviews, technical documentation, model cards, implementation guides, knowledge-sharing sessions, and reusable development standards.\nParticipate in Agile ceremonies, estimation, sprint planning, proofs of concept, and continuous improvement activities.\nRequired Skills:\nProficiency in Python and familiarity with common AI and data libraries.\nExperience with generative AI and large language model concepts, including prompt engineering, embeddings, vector databases, retrieval-augmented generation, tool calling, and AI agents.\nFamiliarity with AI development frameworks and toolsets.\nExposure to enterprise AI services and model platforms such as Azure AI Foundry, Azure OpenAI Service, Amazon Bedrock, Google Vertex AI, or equivalent technologies.\nKnowledge of RESTful APIs, microservices, Git, SQL, data processing, and software development practices; Java or Spring Boot experience is an asset.\nUnderstanding of model evaluation, experimentation, testing, observability, and MLOps concepts, including model and prompt versioning and CI/CD automation.\nAwareness of responsible AI principles, including fairness, transparency, explainability, privacy, security, human oversight, and appropriate use of enterprise data.\nStrong analytical and problem-solving skills with the ability to assess model outputs, identify failure modes, and communicate technical limitations.\nClear written and verbal communication skills and the ability to collaborate effectively in a cross-functional delivery environment.\nFamiliarity with Agile delivery methods, cloud technologies, DevOps practices, and secure software development is preferred.\nA continuous learning mindset and interest in applying AI to compliance, trade surveillance, supervision, and capital markets use cases.\nEducation & Experience:\nBachelor's degree in computer science, software engineering, data science, artificial intelligence, information technology, or a related field; equivalent practical experience may be considered.\nTypically 3-5 years of relevant software development, data engineering, machine learning, or AI solution delivery experience.\nPractical experience developing applications with Python and integrating models, data services, or AI capabilities through APIs.\nExperience with at least one machine learning or generative AI framework and exposure to large language model application patterns.\nExperience with cloud platforms, containerized applications, automated testing, CI/CD, or MLOps practices is preferred.\nExperience evaluating model outputs and implementing controls for quality, security, privacy, explainability, and responsible AI is an asset.\nFinancial services, compliance, trade surveillance, market abuse monitoring, or capital markets knowledge is an asset but not required.\nDemonstrated ability to learn emerging technologies, apply feedback, solve technical problems, and communicate effectively with cross-functional teams.\n*General Job Description\nThe IT Senior Developer TDS provides a broad range of system solutions development to business problems through the development and programming of applications / systems.\nDepth & Scope:\nResponsible for analyzing a broad range of business requirements, conducting program / system research and analysis to identify key components for solutions delivery and problem resolution\nDevelops new applications and performs unit / component test for new application development initiatives aligned to business needs and in accordance with technology architecture standards\nEnsures effective communication of solutions development requirements for respective area and contributes to project plans, estimations, timelines and status updates to support management team / clients on prioritizing new and existing projects against IT requirements and business objectives\nInforms key stakeholders of any issues that may impact other areas of the project and resolves or escalates issues as required\nSupports business inquiries and business activities through execution of small enhancements and break / fix implementations (e.g. source code changes)\nWorks with Business Analysts / Systems Analysts, other technology Developers / Solution Designers to ensure the configuration and custom components meet application requirements and performance goals\nCreates and maintains quality code, ensures defect free programming consistent with standards; provides code maintenance and supports during testing cycles and post-production deployment and participate in reviewing peer coding\nAdheres to standard security coding practices to ensure application is free of most common coding vulnerabilities\nParticipates in identifying and recommending development / testing solutions / tools in support of project / application objectives\nCompletes unit and integration testing for conformance to standards and adherence to design specifications\nComplies with well-defined enterprise technology delivery practices and standards and project management disciplines by participating in scope assessment, risk and cost analysis\nAssists in the development / maintenance of comprehensive processes for prevention of issues and participate in problem determination and timely resolution of incidents applying appropriate quality measures\nPerform Systems Administration of applications / environments supported by the LOB, monitors application / service performance, and performs configuration, backup, authentication & tuning\nEnsure both state-of-health monitoring and monthly SLA targets are in place, and are being met\nProvides technical expertise during Incident management, analyzes incident reports and outages, performs impact assessment for incidents and facilitates internal and external communication throughout incident resolution\nContinuously enhances knowledge / expertise in area and keeps current with leading-edge technologies, emerging trends/developments and grows knowledge of the business, applications, infrastructure, analytical tools and techniques\nPrioritizes and manages own workload in order to deliver quality results and meet timelines as assigned\nSupports a positive work environment that promotes service to the business, quality, innovation and teamwork and ensures timely communication of issues/ points of interest\nIdentifies and recommends opportunities to enhance productivity, effectiveness and operational efficiency of the business unit and/or team\nEstablishes effective relationships across multiple business and technology partners, program and project managers\nParticipates in knowledge transfer within the team and business units\nImpact assessment for incidents and facilitates internal and external communication throughout incident resolution\nEducation & Experience:\nCollege degree, or specialized training / equivalent work experience\n3-5 Years of related experience\nWho We Are\nTD Securities offers a wide range of capital markets products and services to corporate, government, and institutional clients who choose us for our innovation, execution, and experience. With more than 6,500 professionals operating out of 40 cities across the globe, we strive to make every interaction, product and experience remarkably human and refreshingly simple. Our services include underwriting and distributing new issues, providing trusted advice and industry-leading insight, extending access to global markets, and delivering integrated transaction banking solutions. In 2023, we acquired Cowen Inc., offering our clients access to a premier U.S. equities business and highly-diverse equity research franchise, while growing our strong, diversified investment bank.\nTogether, we are reimagining what banking can be for our clients, colleagues and communities.\nOur Total Rewards Package\nOur Total Rewards package reflects the investments we make in our colleagues to help them and their families achieve their financial, physical and mental well-being goals. Total Rewards at TD includes base salary and variable compensation/incentiveawards (e.g., eligibility for cash and/or equity incentive awards, generally through participation in an incentive plan) and several other key plans such as health and well-being benefits, savings and retirement programs, paid time off (including Vacation PTO, Flex PTO, and Holiday PTO), banking benefits and discounts, career development, and reward and recognition. Learn more\nAdditional Information:\nWe’re delighted that you’re considering building a career with TD. Through regular development conversations, training programs, and a competitive benefits plan, we’re committed to providing the support our colleagues need to thrive both at work and at home.\nColleague Development\nIf you’re interested in a specific career path or are looking to build certain skills, we want to help you succeed. 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