Junior Solutions Architect

Pontoon
Edinburgh, UK
about 2 months ago

Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Experience level
Starter
Compensation
£40,000.0 - £50,000.0
Working hours
Regular working hours
Job source

Tech stack

Adobe InDesign Application Programming Interfaces (APIs) Artificial Intelligence Airflow Microsoft Azure BigQuery Cloud Computing Cloud Storage Data Architecture Data Governance Extract Transform Load (ETL) Software Design Patterns
+11 more
Data Flow Control High-Level Architecture Machine Learning Google Cloud Istio Generative AI Apigee Kubernetes Virtual Agents Looker Analytics Serverless Computing

Job description

As a Solutions Architect, you will be responsible for designing scalable, highly secure, and resilient data and AI systems, while driving strategic initiatives including Machine Learning, and GCP cloud migration. This role bridges business needs with technical execution, involving stakeholder management, cloud-native architecture development, and ensuring compliance with data governance, security, and ethical AI standards., * Strategy & Design: Define end to end architectures for AI, ML, data, and agentic AI solutions running on Google Cloud Platform. Ensuring alignment to platform strategy, technology standards, and security controls

  • Technical: Deliver high-quality, secure solutions using GCP cloud-native services, and event- driven patterns. Architect GCP workloads using services such as BigQuery, Cloud Run, GKE, Cloud Storage, Dataflow, Pub/Sub, Vertex AI, Looker, and Cloud Composer
  • Cloud, Platform & Integration: Apply understanding of Kubernetes, service mesh, ingress, workload identity, and network/security boundaries.
  • Design Patterns: Design and implement API and service integration patterns using Istio, Apigee, and modern microservice standards
  • Governance & Compliance: Ensure solutions meet strict regulatory, risk management, and security standards.
  • Collaboration: Work with engineering, data science, and business teams to translate requirements into actionable, high-level designs.

Requirements

  • Experience using cloud platforms such as GCP/Azure
  • Data & AI Knowledge. An understanding of modern data architecture, Machine Learning, and AI tools. Experience in largescale data migrations with ETL toolset.
  • Knowledge of designing orchestrations and technical patterns for agentic AI, Large Language Model based systems, Retrieval-Augmented Generation (RAG) and workflow orchestration.
  • Experience communicating technical concepts in design forums representing the Lab’s technical direction.
  • Great attention to detail
  • Analytical mindset and uses a methodological approach to complete tasks.
  • Resilient Confident, professional, and able to work effectively with multiple teams.

You will be a valued member of our Adecco Emerging Talent function working onsite with a market-leading organisation, initially, the assignment is 12 months with scope for extension in the future, so you need to be someone with a permanent mindset!

If you have the experience and desire to work for a well-respected organisation offering personal and professional support, growth and development, then you could be a perfect fit for the team and we want to hear from you - APPLY NOW.

About the company

Adecco Emerging talent is an employment consultancy and operates as an equal opportunities’ employer.

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