System Architect (Document AI)
London - Traf Office
Main Purpose:
Trafigura is undergoing an exciting Digital Transformation and developing innovative technologies to push the boundaries in Commodities Trading. The Document AI team is a key pillar of this initiative, unlocking the data-rich proprietary documents that pass through our firm to enable high value process optimization and data science use cases.We are seeking a System Architect to co-own the technical vision for our Document AI platform and help bring it to life. You will collaborate closely with our Document AI Lead, creating an industry-leading document platform powering our workflows and democratizing data for business and technical users.
Knowledge Skills and Abilities, Key Responsibilities:
- 3+ years of experience developing AI systems
- 7+ years of experience developing advanced analytic workflows in an enterprise environment
- Experience with microservices and event-driven architecture
- Experience with MLOps and related tooling (e.g. MLFlow, Bedrock, Docker)
- Experience developing trustworthy systems including security, identity management, reliability, observability and testing
- Experience with databases (SQL, NoSQL) and data engineering (e.g. Airflow)
- Experience with cloud infrastructure (AWS preferred)
Key Responsibilities
- Have a significant impact on the design, development, and operations of our Document AI platform
- Ensure compatibility with Trafigura's wider technology ecosystem and drive alignment with key stakeholders
- Lead discussions on architectectural trade-offs including build vs buy
- Develop design rules and guidelines for developers and improving consistency through code reviews
- Prototype and implement new technology to continuously improve the Document AI platform
- Engage with industry partners to understand alternative solutions and drive change when needed
- Actively contribute to engineering culture through mentorship and advocacy of strong engineering practices
- Example projects you might own in the first 6 months include:
- Implement LLM serving framework to improve model throughput
- Implement event-driven processing to improve real-time information and optimize cloud spend
- Deploy search capabilities for proprietary document store
Competencies
- Can translate business problems into pragmatic technical solutions
- Communicate technical details and high-level strategic plans effectively
Key Relationships and Department Overview:
Key Relationships
- You will work closely with the Digital Transformation Team to understand business requirements and ensure that the Document AI platform continuously meets and exceeds their evolving needs.
- You will work directly with Business users in our front, middle and back offices to build trust and support their business requirements.
- You will support the Data Science & Engineering teams as a Centre of Excellence for Document AI related technology, providing support in the form of knowledge sharing and tooling.
- You will work closely with IT to ensure that the Document AI technology stack remains compatible within a wider technology ecosystem.
Department Overview
Digital Transformation Team
Reporting Structure
You will report directly to the Document AI Lead.
Equal Opportunity Employer
We are an Equal Opportunity Employer and take pride in a diverse workforce. We do not discriminate in recruitment, hiring, training, promotion or other employment practices for reasons of race, colour, religion, gender, sexual orientation, national origin, age, marital or veteran status, medical condition or handicap, disability, or any other legally protected status.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Airflow Architecture AWS Docker Engineering LLMs Microservices MLFlow MLOps NoSQL Security SQL Testing
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