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.

Success Profile

• Standardizes scalable AI architecture patterns, reusable components, and integration approaches.
• Delivers high-quality AI solutions that align with governance, security, and responsible AI standards.
• Enables measurable improvements in insight quality, speed to decision, and user adoption.
• Reduces manual data maintenance through automated connectors, pipelines, and synchronization processes.
• Builds alignment across technical and business stakeholders in a complex matrixed environment.
• Succeeds through collaboration, influence, and execution across global and cross-functional teams.

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., SOC 2, 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., SOC 2, GDPR, HIPAA-equivalent)

At BD, we prioritize on-site collaboration because we believe it fosters creativity, innovation, and effective problem-solving, which are essential in the fast-paced healthcare industry. 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. Remote or field-based positions will have different workplace arrangements which will be indicated in the job posting.

At BD, we are committed to supporting our associates' well-being, development, and success through a performance-based culture. For this position, BD offers a competitive compensation package along with the following benefits specific to this role:
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
BD 401(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

Required Skills

Optional Skills

Primary Work Location
USA NJ - Franklin Lakes

Additional Locations

Work Shift

At BD, we reward, support and develop our associates through our comprehensive Total Rewards program. We are committed to attracting and retaining high quality talent by providing reward and recognition opportunities that promote a performance-based culture, as well as a competitive package of compensation and benefits programs. You can learn more on our career site under "Our Commitment to You."

Our 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 rate offered is determined by the role's specific requirements, including any applicable step rate pay system at the work location. 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.

Salary Range Information