Senior Director, Systems Architect (Agentic Intelligence) London, England
- London
- Permanent
- Full-time
- Define and execute the organisation's data and cloud architecture strategy, aligning it with
- business objectives and long-term goals, with a particular emphasis on supporting agentic
- workflows and agent interactions.
- Develop architectural standards, best practices, and governance policies for cloud
- platforms, data infrastructure, and integrations, ensuring they are conducive to the
- development and deployment of agentic intelligence solutions.
- Lead the design and adoption of a cloud-native architecture that supports scalability,
- reliability, and cost-efficiency, while also providing the necessary infrastructure for agent
- orchestration and communication.
- Partner with business leaders to identify and prioritise initiatives that leverage data and
- cloud capabilities to drive value, with a focus on identifying opportunities for agentic
- intelligence to enhance our products and services.
- Design and implement a modern data architecture, including data lakes, data warehouses,
- and real-time analytics platforms, ensuring they are optimised for agent access and data
- processing.
- Ensure data platforms support advanced analytics, machine learning, and business
- intelligence requirements, as well as the specific data needs of agentic systems.
- Oversee data integration, data modelling, and data governance processes to ensure
- accuracy, consistency, and compliance, while also enabling agents to access and utilise
- data effectively.
- Establish policies for data security, privacy, and regulatory compliance across all data
- assets, ensuring that agentic systems adhere to the highest standards of data protection.
- Architect and oversee cloud infrastructure, ensuring high availability, security, and
- scalability, while also providing the necessary resources for agent execution and
- management.
- Drive the adoption of cloud-native tools and technologies, including serverless computing,
- microservices, and container orchestration, to support the development and deployment of
- agentic applications.
- Implement cost-optimisation strategies to ensure efficient use of cloud resources, while
- also considering the specific resource requirements of agentic systems.
- Collaborate with DevOps and SRE teams to enable CI/CD pipelines, automation, and
- monitoring, ensuring that agentic applications can be deployed and managed efficiently.
- Design and implement architectures for agent-to-agent communication, ensuring seamless
- interaction and collaboration between intelligent agents.
- Develop strategies for enabling agents to interact with diverse data sets, ensuring they can
- access and process the information they need to perform their tasks effectively.
- Architect how we enable workflows across our products that leverage agentic intelligence,
- enabling agents to automate tasks, make decisions, and improve overall system
- performance.
- Evaluate and select appropriate agentic frameworks and technologies, ensuring that our
- architecture is aligned with the latest advancements in the field.
- Be Extraordinary by Leading Collectively to Inspire transformational Creativity.
- Create an Open environment by Balancing People and Client Experiences by Cultivating Trust.
- Lead Optimistically by Championing Growth and Development to Mobilize the Enterprise.
- Bachelor's degree in Computer Science, Engineering, or a related field (Master's preferred).
- 10+ years of experience in data architecture, cloud infrastructure, or related roles, with at
- least 5+ years in a leadership or director-level position.
- Proven expertise in designing and implementing large-scale data and cloud architectures.
- Strong knowledge of cloud platforms (AWS, GCP, Azure) and related tools (e.g.,
- Kubernetes, Terraform, CloudFormation).
- Experience with modern data platforms, including data lakes, data warehouses (e.g.,
- Snowflake, Redshift, BigQuery), and real-time data processing.
- Proficiency in data modelling, ETL/ELT pipelines, and data integration tools.
- Strong understanding of security, compliance, and governance for data and cloud
- platforms.
- Hands-on experience with analytics and machine learning platforms/tools is a plus.
- Excellent leadership, communication, and stakeholder management skills.
- Experience with agentic frameworks and technologies (e.g., Langchain, AutoGPT, etc.).
- Understanding of agent-to-agent communication protocols and architectures.
- Knowledge of data access and processing techniques for agentic systems.