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Continue to explore career opportunities at TJX, a Fortune 100 company and the leading off-price retailer of clothing and home fashions in the U.S. and worldwide. At TJX, we are proud that, for 40 years, we have provided amazing value to our customers; but the merchandise we sell is just part of our story. We believe that our Associates bring our business to life, and we aim to support you by making TJX a terrific place to work. We are committed to leveraging our differences, and believe that the diverse skills, experiences and background that you bring into the organization will help us continue to succeed.</p><p>Our retail chains include TJ Maxx, Marshalls, HomeGoods, Sierra Trading Post and Home Sense, as well as tjmaxx.com and sierratradingpost.com in the U.S.; Winners, Home Sense and Marshalls in Canada; TK Maxx in the U.K., Ireland, Germany, Poland, Austria and the Netherlands, as well as Home Sense and tkmaxx.com in the U.K.; and TK Maxx in Australia. With over $50 billion in sales, more than 5,000 stores and ~340,000 Associates in 2024, TJX is an exciting place to grow your career!</p><p><strong>What you’ll discover:</strong></p><ul><li>Inclusive culture and career growth opportunities</li><li>Global IT Organization which collaborates across U.S., Canada, Europe, Australia and India, click here to learn more</li><li>Challenging, rewarding, collaborative, and team-based environment</li><li>Modernized tools and technology</li></ul><p><strong>What you’ll do:</strong></p><p>The Enterprise Data &amp; Analytics organization has multiple product teams aligned to business domains.&nbsp; This individual will be a key contributor to the AI enablement team whose goal is to drive responsible adoption and deployment of AI capabilities and solutions at TJX. The AI enablement team is designing and implementing a AI technology ecosystem to support the organization and is also supporting the incubation and implementation of innovative POV efforts.&nbsp;</p><p>We are seeking a highly skilled and ambitious Engineer to join AI enablement team. The ideal candidate will have extensive experience in partnering, developing and deploying AI solutions across a large enterprise. This role will work closely with various stakeholders to ensure business value is understood and implemented in ways to quickly achieve this value.&nbsp;</p><p><strong>Key Responsibilities:</strong></p><ul><li>Design, develop, test and deploy AI solutions&nbsp;using Azure AI services to meet business requirements.</li><li>Train, fine-tune, and evaluate AI models, including large language models (LLMs), ensuring they meet performance criteria and integrate seamlessly into new or existing solutions.</li><li>Develop and integrate APIs&nbsp;to enable smooth interaction between AI models and other applications, facilitating efficient model serving.</li><li>Collaborate effectively&nbsp;with cross-functional teams, including data scientists, software engineers, and business stakeholders, to deliver comprehensive AI solutions.</li><li>Optimize AI and ML model performance&nbsp;through techniques such as hyperparameter tuning and model compression to enhance efficiency and effectiveness.</li><li>Monitor and maintain AI systems, providing technical support and troubleshooting to ensure continuous operation and reliability.</li><li>Create comprehensive documentation&nbsp;for AI solutions, including design documents, user guides, and operational procedures, to support development and maintenance.</li><li>Stay updated with the latest advancements&nbsp;in AI, machine learning, and cloud technologies, demonstrating a commitment to continuous learning and improvement.</li><li>Design, code, deploy, and support software components, working collaboratively with AI architects and engineers to build impactful systems and services.</li><li>Lead medium to large initiatives, prioritizing and assigning tasks, providing guidance, and resolving issues to ensure successful project delivery.</li></ul><p><strong>What you’ll need:</strong></p><p>Enterprise Data &amp; Analytics thrives on strong relationships with our business and IT partners and working diligently to address their needs which support TJX growth and operational stability.&nbsp; On this tightly knit and fast-paced team you will be constantly challenged to stretch and think outside the box.&nbsp; We are looking for someone who embraces the use of emerging technology to design, build, deploy, and govern AI solutions.&nbsp;</p><p><strong>Key Responsibilities:</strong></p><ul><li>Design, develop, and deploy AI/ML and GenAI solutions in a cloud-native (Azure) environment.</li><li>Build and operationalize end to end MLOps pipelines including model training, deployment, monitoring, and versioning using tools such as Azure ML, MLflow, Databricks, and Azure DevOps/GitHub.</li><li>Implement RAG pipelines, prompt engineering, guardrails, and LLMOps best practices for scalable GenAI applications.</li><li>Develop secure, scalable APIs and integrate with Azure AI Services (Document Intelligence, Search, Vision, Speech).</li><li>Work with vector databases (FAISS, Weaviate, Pinecone, pgvector, Azure Cognitive Search) for embeddings and retrieval workflows.</li><li>Collaborate in an Agile/Scrum environment, including requirements gathering, design, testing, and documentation using Jira and Confluence.</li><li>Ensure AI solutions follow security best practices such as encryption, access control, and safe deployment principles.</li><li>Apply ethical AI principles including bias detection, responsible ML, and fairness.</li><li>Troubleshoot issues using monitoring tools like App Insights, Azure Monitor, and Splunk.</li><li>Stay current on the latest developments in GenAI, LLMs, NLP, and multimodal AI.</li></ul><p><strong>Required Qualifications:</strong></p><ul><li>Bachelor's degree in computer science, Engineering, or a related field.</li><li>5+ years of hands-on AI/ML development experience with production deployments.</li><li>Strong proficiency in Python, SQL, and modern software engineering practices.</li><li>Experience with Azure AI Foundry, Azure OpenAI, Azure AI Search, and core Azure cloud services.</li><li>Expertise in version control (Git), CI/CD pipelines for ML, and cloud DevOps workflows.</li><li>Practical experience with data engineering tools and scalable data processing (e.g., Databricks, PySpark).</li><li>Strong communication, analytical thinking, and problem-solving abilities.</li><li>Knowledge of security best practices for AI systems and responsible AI considerations.</li></ul><p><strong>Preferred Qualifications:</strong></p><ul><li>Experience with LLM application frameworks such as Lang Chain, Semantic Kernel, and LlamaIndex.</li><li>Experience with multimodal AI use cases and advanced GenAI workloads.</li><li>Knowledge of feature stores and ML operations tools such as Feast, Tecton, Evidently, or WhyLabs.</li><li>Familiarity with vector search implementation at scale.</li><li>Ability to design guardrails and content safety workflows for LLM applications.</li><li>Strong passion for continuous learning, research, and staying ahead of GenAI trends.</li></ul><p>This position has a starting salary range of $TBD per year.&nbsp; Actual starting pay is determined by a number of factors, including relevant skills, qualifications, and experience.&nbsp; This position is eligible for an annual incentive. &nbsp;Come Discover Different at TJX. From opportunity and teamwork to growth, we think you’ll find that it’s so much more than a job. When you’re a part of our global TJX family, you have the full support of a diverse, close-knit group of people dedicated to finding great deals and fantastic style. Best of all They have a lot of fun doing it. We care about our culture, but we also prioritize the tangible stuff (Competitive salaries: check. Solid benefits: check. Plenty of room for advancement: of course). It’s our way of empowering you to make your career here. We consider all applicants for employment without regard to race, color, religion, gender, sexual orientation, national origin, age, disability, gender identity and expression, marital or military status. 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