Associate Architect - Enterprise AI Services

We are seeking a talented Technologist for the role of an Associate Architect to join Platform Engineering team in Thomson Reuters and play a crucial role in designing, developing, and maintaining robust cloud and AI based solutions for our new Enterprise AI Services team . As an Associate Architect, you will be responsible for the Design and Architecture of scalable, reliable, and secure infrastructure solutions across multiple cloud platforms, including AWS, Azure, and GCP. You will work closely with Engineering teams to translate business
requirements into technical solutions and ensure the efficient operation of our shared infrastr ucture services.

About The Role:

1. Design, architect and deploy enterprise grade distributed , cloud - native and AI systems in Public Clouds like AWS, Azure and GCP.
2. Research , evaluate and configure AI /ML marketplace products/platform s to effectively  address AI /ML business use cases.
3. Get to work on containers , container orchestration technologies (Kubernetes, Docker ), OpenSearch , Vector Stores, building data pipelines, messaging, scalable streaming services , RAG - based architectures, Generative AI Models, API Management Services like Google Gemini, Google APIGEE, Azure APIM .
4. Facilitate collaboration and communication across business lines, technology partners, vendors, and architects to align AI initiatives with organizational goals.
5. Work with Engineering team members to implement and deploy generative AI systems into production.
6. Develop and implement best practices for building, deploying, and managing generative AI systems.
7. Stay up to date on the latest research and developments in generative AI and apply new knowledge to our work.
8. Collaborate with other engineers, Architects, and product managers to develop and deliver innovative solutions
9. Set up and configure Observability Dashboards to proactively detect and respond to system issues. Work with teams to define Service Level Objectives (SLOs) and Service
Level Indicators (SLIs) for critical applications and services.
10. Analyse and troubleshoot performance bottlenecks and system issues , Provide actionable insights to improve system performance and reliability.
11. Manage project timelines effectively, ensuring timely delivery of commitments with clear communication to all stakeholders. ,

About you:
1. BS or MS degree in computer science, or equivalent.
2. 6 - 10 years of relevant software development , design and systems
engineering/architecture.
3. Strong grasp of system design fundamentals and distributed systems architectural best practices
4. Solid understanding of Cloud provided AI/ML platforms such as AWS Bedrock, Sagemaker, Azure AI Studio and so on.
5. Proficiency in Python, C# Programming languages, Design and develop robust data engineering services and APIs to support AI initiatives.

Whats in it For You?