Roles and Responsibilities:
- Partner with Product teams, Client 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 Client technology 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 Client-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:
- Experience 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 computer, 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.
Skills Required:
- Deep Learning : Proficiency in frameworks like TensorFlow, PyTorch, or similar tools for developing generative AI models.
- Natural Language Processing (NLP) : Understanding of large language models (LLMs), their training, and fine-tuning.
- Machine Learning & Data Science : Knowledge of model training, evaluation, and optimization techniques.
- Cloud Infrastructure : Familiarity with cloud platforms (AWS, GCP, Azure) for scaling and deploying AI solutions.
- Programming : Strong coding skills in Python, Java, or similar languages used for AI development.
- Problem-Solving : Ability to tackle complex business challenges and provide actionable AI-based solutions.