RCI-BDX-3327 AI Architect (Medical Device)
1 day ago
Franklin Lakes
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.