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Solution Architect
Job in
Penarth, Vale of Glamorgan, CF64, Wales, UK
Listed on 2026-10-05
Listing for:
ELLIOTT MOSS CONSULTING PTE. LTD.
Full Time
position Listed on 2026-10-05
Job specializations:
-
IT/Tech
AI Engineer (Applied/Software), Data Engineering, Cloud Computing: Infrastructure & Operations
Job Description & How to Apply Below
- We are seeking a Solution Architect - Data & AI to lead end-to-end architecture across presales and delivery.
- The role will translate business requirements into scalable, secure, and commercially viable Data & AI solutions while providing technical leadership throughout implementation.
- Lead Data & AI solutioning for RFPs, RFIs, tenders, proposals, and client engagements.
- Understand business objectives, data maturity, technical requirements, and AI opportunities.
- Develop solution architectures, estimates, delivery roadmaps, risks, dependencies, and implementation approaches.
- Design enterprise data platforms, analytics, AI/ML, GenAI, integration, security, and governance solutions across cloud, hybrid, and on-premises environments.
- Architect data lakes, data warehouses, lake houses, streaming, ETL/ELT, metadata, lineage, and data quality solutions.
- Design GenAI solutions involving LLMs, RAG, embeddings, vector databases, and enterprise knowledge search.
- Define MLOps/Model Ops, model monitoring, AI lifecycle management, and responsible AI practices.
- Establish data and AI governance covering privacy, security, access control, compliance, transparency, and model risk.
- Evaluate and recommend technologies based on performance, scalability, security, reliability, and cost.
- Provide architecture leadership during delivery and ensure implementation aligns with approved designs.
- Conduct architecture reviews, resolve technical issues, and guide engineering teams.
- Develop architecture diagrams, solution blueprints, technical specifications, and design documentation.
- Present technical solutions and recommendations to senior business and technical stakeholders.
- Bachelor's or Master's degree in Computer Science, Data Engineering, AI, Software Engineering, or a related field.
- 15+ years of technology experience, including significant experience in solution/data/AI architecture.
- Proven experience in both presales solutioning and delivery architecture for enterprise Data & AI projects.
- Strong knowledge of cloud platforms, modern data architecture, AI/ML, GenAI, integration, security, and governance.
- Experience with AWS, Azure, GCP, Databricks, Snowflake, Microsoft Fabric, Synapse, Big Query, or equivalent platforms.
- Strong understanding of RAG, LLMs, vector databases, MLOps/Model Ops, and AI governance.
- Experience in consulting, technology services, or large-scale enterprise transformation.
- Excellent client-facing communication, presentation, documentation, and stakeholder management skills.
- Strong commercial awareness, analytical thinking, and problem-solving abilities.
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