AI/ML, Engineer with Regulatory data exp at RapidIT

Position: AI/ML, Engineer with Regulatory data exp

Location: New Brunswick, NJ 

Duration: 6 months

Roles and Responsibilities:
• Partner with Product teams,  Technology Services and other architects to design scalable, flexible and supportable technical systems that drive business value in support of Regulatory Strategy and Intelligence
• Develop architecture artifacts in collaboration with business and JJT product owners, lead engineers, platform owners, R&D Architecture, Information Security, Quality and Technology Services stakeholders.
• Artifacts for each project include the business context diagram, process overview, data flow diagram, application architecture, data model overview, integration architecture, infrastructure architecture and ML and ML Ops architectures.
• Responsible for architecture alignment to Regulatory, Enterprise and R&D technology strategies, patterns and standards
• Ensure Product roadmaps align to Regulatory strategy, established architectural principles and patterns, and enterprise ALM/TLM requirements.
• Enable business at scale through simplification of the application landscape, system integration and intelligent automation.
• Capture architecture and design information and decisions using -standard tools (Lean IX, SAXpress, Asset Management, Draw-IO, AMT, Confluence, MS Teams)

Education:
• BA/BS degree in a technical, engineering or scientific field
• AWS-Certified Solutions Architect certification required
• AWS Well-Architected Framework certification desirable
• AWS Certified Machine Learning Specialty certification desirable

Experience and Skills:
Required:
• Knowledge of Regulatory data, content and terminology used in Pharmaceutical development
• 5+ years of experience as a Solution Architect in pharmaceutical development
• 5+ years of experience in integration design and operationalization (REST APIs, Kafka, ETL, data pipeline design, API gateways, data streaming)
• 5 years of experience working with structured RDBMS and content management platforms
• Experience architecting regulated systems (GxP, HPIAA, GDPR, etc)
• 2-3 years of experience architecting digital automation solutions using BPM, RPA, NLP and ML
• Knowledge and skills in compute, networking, storage, database and AWS machine learning services as well as AWS deployment and management services.
• Experience leading technical conversations, workshops and works to remove ambiguity, drive consensus and reach decisions across stakeholders
• Proven ability to understand and articulate business requirements, direction, and initiatives.
• Experience surfacing technical requirements and building IT product roadmaps