Data & AI Architect - BD Excellence (BDE) Office

Job Description Summary This position serves as a technical expert responsible for architecting and delivering AI-powered solutions that enable operational excellence, analytics, and decision-making across the BDE ecosystem. The role owns end-to-end solution design and implementation, including data integration, AI enablement, analytics delivery, and technology standards. Success is measured through scalable adoption, improved insight generation, reduced manual effort, and accelerated decision support. Key Responsibilities Design end-to-end AI architectures that integrate structured and unstructured enterprise data sources. Define scalable patterns for AI integration across collaboration, analytics, workflow, and internal platforms. Develop and deploy AI-enabled solutions using programming languages, APIs, cloud services, and modern frameworks, including large language model (LLM) and agentic AI architectures. Build and maintain automated data pipelines, connectors, and synchronization processes, leveraging modern data engineering platforms (e.g., Databricks, Snowflake). Prototype and move into production capabilities including document intelligence, analytics copilots, natural language querying, and insight generation. Partner with analytics and data teams to optimize data models and architectures for AI use cases. Apply AI and advanced analytics to identify insights, trends, and leading indicators supporting operational excellence. Enable embedded and conversational analytics experiences within existing business workflows and platforms. Define and promote technical standards, reusable components, and best practices across the BDE ecosystem. Mentor developers and analysts on AI solution development and integration approaches. Skills and Competencies Execution Excellence: Delivers scalable solutions from concept through production deployment. Functional Expertise: Deep knowledge of AI architecture, software engineering, analytics, and data integration. Stakeholder Leadership: Builds strong partnerships across business and technical teams. Influence Without Authority: Drives adoption of standards and solutions across matrixed environments. Operational Rigor: Ensures alignment with governance, security, and responsible AI requirements. Data-Driven Decision Making: Applies analytics and insights to improve outcomes and performance. Strategic Communication: Translates complex technical concepts into actionable business recommendations. Change Leadership: Supports adoption of new capabilities and ways of working. Continuous Improvement Mindset: Identifies opportunities to optimize processes, solutions, and user experiences. Education, Qualifications, and Experience Education: Bachelor's degree in Computer Science, Engineering, Data Science, Information Systems, or a related field required. Master’s degree in Computer Science, Artificial Intelligence/Machine Learning, Data Science, or a related quantitative/technical field strongly preferred. Experience: 10+ years of progressive experience in software engineering, data engineering, or AI/ML architecture, with a demonstrated track record of designing and deploying production-grade, end-to-end AI solutions. Hands-on experience architecting AI agents, copilots, chatbots, or retrieval-augmented generation (RAG) solutions using LLM APIs (e.g., Claude, Azure OpenAI, or equivalent). Practical experience with modern data engineering and analytics platforms (e.g., Databricks medallion/lakehouse architecture, Delta Lake, PySpark, Snowflake). Experience integrating multiple enterprise data sources and systems through APIs, connectors, and automated data pipelines. Proven ability to move from concept to production-ready solutions in complex, matrixed enterprise environments. Experience applying responsible AI, data governance, and security/compliance frameworks (e.g., SOC2, GDPR, HIPAA, or equivalent) is a plus, particularly in regulated industries. Qualifications Strong hands-on development experience with Python and SQL; working knowledge of cloud platforms (AWS, Azure, or GCP). Practical experience building and orchestrating GenAI/agentic solutions using frameworks such as LangGraph, Model Context Protocol (MCP), or comparable agent-orchestration and multi-agent tooling. Knowledge of analytics architectures, data modeling, and insight generation, including natural language querying and embedded/conversational analytics. Understanding of model lifecycle management, evaluation, monitoring, and continuous improvement in production environments. Experience deploying solutions within enterprise governance and security frameworks. Familiarity with enterprise collaboration and analytics platforms (e.g., SharePoint, Confluence, ServiceNow, Monday.com), embedded AI experiences, and usage analytics. Technical Skills Languages & Data: Python, SQL Data Engineering & Platforms: Databricks (Delta Lake, Unity Catalog, PySpark), Snowflake, dbt, ETL/ELT pipeline design AI & GenAI: LLM APIs, Retrieval-Augmented Generation (RAG), agent orchestration frameworks (e.g., LangGraph, MCP), natural language interfaces, model evaluation and observability Cloud & Infrastructure: AWS, Azure, and/or GCP; Docker; Kubernetes; CI/CD (e.g., GitHub Actions) Integration: REST APIs, connectors, and workflow automation across enterprise systems (e.g., SharePoint, Confluence, ServiceNow, Monday.com) Analytics & Visualization: Power BI, Tableau, or equivalent embedded analytics tools Governance & Security: Responsible AI practices, data privacy/compliance frameworks (e.g., SOC2, GDPR, HIPAA-equivalent) Benefits Annual Bonus Health and Well-being Benefits Medical coverage Health Savings Accounts Flexible Spending Accounts Dental coverage Vision coverage Hospital Care Insurance Critical Illness Insurance Accidental Injury Insurance Life and AD&D insurance Short-term disability coverage Long-term disability insurance Long-term care with life insurance Other Well-being Resources Anxiety management program Wellness incentives Sleep improvement program Diabetes management program Virtual physical therapy Emotional/mental health support programs Weight management programs Gastrointestinal health program Substance use management program Musculoskeletal surgery, cancer treatment, and bariatric surgery benefit Retirement and Financial Well-being BD401(k) Plan BD Deferred Compensation and Restoration Plan 529 College Savings Plan Financial counseling Baxter Credit Union (BCU) Daily Pay College financial aid and application guidance Life Balance Programs Paid time off (PTO), including all required State leaves Educational assistance/tuition reimbursement MetLife Legal Plan Group auto and home insurance Pet insurance Commuter benefits Discounts on products and services Academic Achievement Scholarship Service Recognition Awards Employer matching donation Workplace accommodations Other Life Balance Programs Adoption assistance Backup day care and eldercare Support for neurodivergent adults, children, and caregivers Caregiving assistance for elderly and special needs individuals Employee Assistance Program (EAP) Paid Parental Leave Support for fertility, birthing, postpartum, and age-related hormonal changes Leave Programs Bereavement leaves Military leave Personal leave Family and Medical Leave (FML) Jury and Witness Duty Leave Work Location and Hours Primary Work Location: USA NJ - Franklin Lakes. Additional Locations: as indicated. Work Shift: As applicable. Remote or field-based positions will have different workplace arrangements indicated in the job posting. Hybrid / On-site Requirements For most roles, we require a minimum of 4 days of in-office presence per week to maintain our culture of excellence and ensure smooth operations, while also recognizing the importance of flexibility and work-life balance. Vaccination and Accommodation Policy Employment is contingent upon the Company’s receipt of sufficient proof that you are fully vaccinated against COVID-19. In some locations, testing for COVID-19 may be available and/or required. Consistent with BD’s Workplace Accommodations Policy, requests for accommodation will be considered pursuant to applicable law. Equal Opportunity Statement Becton, Dickinson, and Company is an Equal Opportunity Employer. We evaluate applicants without regard to race, color, religion, age, sex, creed, national origin, ancestry, citizenship status, marital or domestic or civil union status, familial status, affectional or sexual orientation, gender identity or expression, genetics, disability, military eligibility or veteran status, and other legally protected characteristics. Why Join Us? To find purpose in the possibilities, we need people who can see the bigger picture, who understand the human story that underpins everything we do. We welcome people with the imagination and drive to help us reinvent the future of healthcare. At BD, you’ll discover a culture in which you can learn, grow and thrive. We believe that when people connect in person, we learn faster, collaborate more deeply, and build a stronger culture. Join us and enjoy a culture where face-to-face collaboration supports your learning, your progress, and your success. Salary Information Salary or hourly rate ranges reward associates fairly and competitively. We regularly review these ranges and factors, such as location, contribute to the range displayed. Our pay is based on the role and the necessary skills and education to perform it successfully. The salary or hourly pay ranges are influenced by labor laws and Collective Bargaining Agreement (CBA) requirements applicable to the work location which may also affect the workplace arrangement of the role. The salary or hourly pay ranges are influenced by labor laws and Collective Bargaining Agreement (CBA) requirements applicable to the work location which may also affect the workplace arrangement of the role. #J-18808-Ljbffr Becton Dickinson