Solution Architect

12 days ago

Job Description

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:

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.

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