Solution Architect

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.