Solution Architect (AWS | Enterprise Architecture | AI/LLM)

This role offers the opportunity to shape the architecture of a complex deployment and configuration management ecosystem supporting business-critical applications and workflows used globally.

Your Mission

As a Solution Architect, you will define and maintain the target architecture of a complex deployment ecosystem, ensuring consistency across platforms, integrations, workflows, and configuration management capabilities.

You will act as a key architectural authority, collaborating with Product Owners, Engineering Leads, Technical Leads, and Business Stakeholders to translate business requirements into scalable, secure, and maintainable technical solutions.

This position focuses on architecture ownership, solution design, governance, and implementation enablement rather than hands-on software development.

Key Responsibilities

Solution Architecture

• Define and maintain the end-to-end solution architecture across multiple systems and workflow capabilities.
• Ensure alignment with enterprise architecture standards, business objectives, and delivery needs.
• Establish architectural principles, standards, and implementation guardrails for engineering teams.
• Support design reviews, governance activities, and stakeholder alignment.

Data & Configuration Architecture

• Own the architecture of the central Configuration Backbone / Datastore.
• Define data model principles, configuration lifecycle management, versioning concepts, and interoperability standards.
• Establish approaches for data ownership, governance, validation, synchronization, and reuse.
• Design scalable and maintainable integration patterns between repositories, platforms, and applications.

Integration & Platform Design

• Define API strategies and event-driven integration patterns.
• Design architecture supporting configuration import/export, synchronization, and workflow orchestration.
• Ensure seamless integration across deployment tools and connected enterprise systems.
• Guide teams on implementation approaches and architectural best practices.

AI & Emerging Technologies

• Support adoption of AI-assisted engineering practices.
• Define architectural guardrails for responsible AI usage, including quality control, validation, and human review mechanisms.
• Collaborate with engineering teams on integrating LLM-based capabilities into development workflows.
• Evaluate AI technologies, models, and architecture patterns to support scalable adoption.

Architecture Governance

• Create and maintain Architecture Decision Records (ADRs).
• Document architectural decisions, trade-offs, dependencies, and implementation impacts.
• Ensure traceability between architecture, technical design, and delivery execution.

Required Experience

Architecture & Design

• Proven experience as a Solution Architect, Enterprise Architect, or Lead Architect within complex enterprise environments.
• Strong background in distributed systems, integrations, and enterprise application architecture.
• Experience creating architecture standards, governance processes, and technical strategies.
• Ability to communicate effectively with technical teams and senior stakeholders.

AWS Cloud Expertise

• Strong experience designing multi-account AWS environments using Landing Zone and/or AWS Control Tower.
• Deep knowledge of EC2, ECS / EKS, AWS Lambda, S3, RDS / DynamoDB, and API Gateway.
• Strong networking expertise: VPC architecture, VPN / Direct Connect, Security Groups, and environment segregation.
• Experience with IAM and least-privilege access models, KMS and secrets management, high availability and disaster recovery architectures, Infrastructure as Code (Terraform and/or CloudFormation), and cloud cost optimization (FinOps).
• Knowledge of compliance and regulatory requirements such as GDPR, SOC2, or similar.

AI / LLM Experience

• Experience integrating Large Language Models into engineering or business processes.
• Hands-on knowledge of Amazon Bedrock, Azure OpenAI, OpenAI APIs, or similar AI platforms.
• Understanding of prompt engineering, context management, Retrieval-Augmented Generation (RAG), and AI governance and safety controls.
• Experience defining quality standards and monitoring approaches for AI-assisted outputs.
• Understanding of security and privacy considerations when processing customer data through AI solutions.

Nice to Have

• Experience in highly regulated industries such as Healthcare, Lifesciences, Pharma, Medical Devices, Banking, or Insurance.
• Knowledge of configuration management platforms and deployment orchestration tools.
• Experience with event-driven architectures and microservices ecosystems.
• Familiarity with modern software delivery practices and platform engineering concepts.

What We Offer

• Long-term strategic project for a global organization from the Big Pharma sector.
• Significant influence on architectural decisions and technology direction.
• Opportunity to work at the intersection of cloud architecture, enterprise integrations, and AI innovation.
• International and highly collaborative environment.
• Remote work flexibility.
• Access to modern technologies and large-scale enterprise programs.
• Broad benefits package for B2B: private healthcare, Multisport card, access to learning platforms, and language classes.