RCI-BDX-3327 AI Architect (Medical Device)

Location: Franklin Lakes NJ

Job Title: AI Architect

Duration: 12 Months

This is a hybrid role (4 Days Onsite and 1 day remote per week | Mon - Thu: Onsite & Fri: Remote)

Manager's Update:

• Prior medical device/Regulated industry exp. would be helpful but not a deal breaker
• Must have exp. with deploy/deployment of AI data
• AI-Chatbots exp. is required
• Co-relate the data
• Able to work with digital platforms (Monday.com, SharePoint)
• Looking for a high level Architect
• Able to work with Data into meaningful insights
• This person needs to be a technical person
• This is not a software developer or a full-stack developer or a coder role
• Looking for 7+ years of exp.
• This person would be involve in IT + Business Operations System + Digital Applications

Must have skills:

• Monday.com
• AI Architecture
• Databricks
• Data Engineering
• Able to build interfaces
• Hands-on development
• Python
• Deployment
• Analytics

• This is not a strategy-only role. The ideal candidate can code, prototype, and deploy, while also defining scalable architectures and standards for AI across the BDE ecosystem.
• On site for 1 year in FLks AI Architect for the BD Excellence (BDE) Office will be a hands-on technical leader responsible for designing, building, and scaling AI-enabled solutions that integrate across enterprise data sources to deliver actionable analytics, insights, and decision support.
• This role blends architecture, software engineering, and applied AI with a strong understanding of business operations, continuous improvement, and analytics.

Key Responsibilities

AI Architecture & Solution Design

• Design end-to-end AI architectures that integrate multiple enterprise data sources (structured and unstructured) into scalable, secure AI solutions.
• Define patterns for AI integration across platforms such as SharePoint, analytics tools, workflow systems, and internal applications.
• Ensure solutions align with enterprise security, data governance, and responsible AI standards.

Hands-On Development

• Actively develop and deploy AI solutions using modern programming languages and frameworks (e.g., Python, SQL, APIs, cloud services).
• Build data pipelines and connectors to ingest, refresh, and synchronize data automatically from source systems.
• Prototype and productionize AI capabilities such as natural language querying, document intelligence, analytics copilots, and insight generation.

Data & Connectors

• Design and implement connectors to enterprise systems (e.g., repositories, learning systems, workflow tools, analytics platforms).
• Architect data flows that support near-real-time updates and minimize manual data maintenance.
• Partner with data engineering and analytics teams to optimize data models for AI use cases.

Analytics & Insights Enablement

• Apply AI and advanced analytics to surface insights, trends, and leading indicators that support operational excellence and decision-making.
• Enable conversational and embedded analytics experiences where users can ask questions and receive AI-driven insights within their workflow.
• Support multilingual and global user needs where required.

Integration & Embedding

• Enable AI solutions to be embedded within existing platforms and tools used across BDE.
• Design AI components that support persistent context, conversation history, and follow-up questions.
• Collaborate with product owners to integrate AI into dashboards, portals, and enterprise tools.

Collaboration & Enablement

• Partner closely with BDE Office leaders, analytics teams, IT, and platform owners to translate business needs into technical solutions.
• Define best practices, reusable components, and technical standards for AI across the BDE ecosystem.
• Mentor developers and analysts on AI solution development and integration patterns.

Required Qualifications

Technical Skills

• Strong hands-on software development experience (e.g., Python, APIs, SQL, cloud platforms).
• Proven experience designing and building AI or ML-enabled solutions end-to-end.
• Experience integrating multiple data sources via APIs, connectors, or data pipelines.
• Solid understanding of analytics architectures, data modeling, and insight generation.
• Experience deploying solutions in enterprise environments with security and governance considerations.

AI & Analytics Experience

Practical experience applying AI for:

• Analytics and insight generation
• Natural language interaction with data and documents
• Decision support and operational intelligence
• Understanding of model lifecycle, monitoring, and continuous improvement in production environments.

Professional Experience

• 7+ years of experience in software engineering, data engineering, AI architecture, or related fields.
• Demonstrated ability to move from concept to working production solutions.
• Experience working in complex, matrixed enterprise environments.

Preferred Qualifications

• Experience with enterprise collaboration and analytics platforms.
• Familiarity with continuous improvement, operational excellence, or transformation programs.
• Experience designing AI copilots, assistants, or embedded AI experiences.
• Exposure to usage analytics, telemetry, and insight measurement for AI solutions.

What Success Looks Like

• AI solutions that are deeply integrated, not standalone.
• Minimal manual data upkeep through robust connectors and automated pipelines.
• Measurable improvement in insight quality, speed to decision, and user adoption.
• A scalable AI architecture that can grow with BDE priorities.
• Strong hands-on software development experience (e.g., Python, APIs, SQL, cloud platforms).
• Proven experience designing and building AI or ML-enabled solutions end-to-end.
• Experience integrating multiple data sources via APIs, connectors, or data pipelines.
• Solid understanding of analytics architectures, data modeling, and insight generation.
• Experience deploying solutions in enterprise environments with security and governance considerations.