> Markdown version of [/jobs/ext/1124260-ai-data-and-solution-architect](https://www.wearedevelopers.com/jobs/ext/1124260-ai-data-and-solution-architect). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Data and Solution Architect - **Company:** Vamstar - **Location:** UK (Remote available) - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Airflow, Amazon Web Services, Big Data, Cloud Engineering, Information Engineering, Data Governance, Extract Transform Load (ETL), Distributed Systems, Intrusion Detection and Prevention, Python (Programming Language), Meta-Data Management, PCI Data Security Standards, Azure Machine Learning, Large Language Models, Prompt Engineering, IT Architecture, Ab Initio, AI Platforms, Pyspark, Data Analytics, Virtual Agents, GPT, Data Pipelines - **Published:** July 2, 2026 - **Apply:** https://find.jobs/jobs-near-me/apply/ats-redirect/?id=2850744693-2 ## About the Role * 12+ years in data engineering, AI/ML, or cloud architecture. * 8+ years leading large-scale data transformation initiatives (minimum 3 engagements delivered). * 5+ years hands-on with generative AI, LLMs, or agentic AI systems in production. * 3+ years deep AWS experience (Glue, Lambda, SageMaker, Bedrock) with proven AI/ML platform implementations. * Expert-level knowledge of agentic AI architecture and design patterns; hands-on experience with Claude API or similar LLM APIs. * Highly proficient in Python and PySpark; strong understanding of distributed computing and scalability patterns. * Solid experience with data pipeline orchestration (Airflow, Step Functions, or equivalent) and ETL/ELT patterns at scale. * Executive presence and demonstrated ability to influence C-level stakeholders and make decisions under uncertainty. * Proven mentoring and knowledge transfer experience; you must uplift the team, not just direct it. Preferred background (strong signals) * Financial services background and experience with regulated industries (banking, insurance, or fintech). * Direct knowledge of PCI-DSS, FCA, SOX, and/or GDPR compliance requirements in AI/data contexts. * Experience with Ab Initio or similar legacy ETL platforms; familiarity with large-scale migration scenarios (5,000+ jobs). * Previous engagements with Capital One or similar Tier 1 financial institutions. * AWS Certified Solutions Architect - Professional and/or AWS Certified Data Analytics - Specialty. * Experience with AWS Incident Detection & Response (IDR), data governance, metadata management, and cost optimisation. * Track record of delivering complex programmes on-time and within budget. What will get you rejected * Less than 5 years of production generative AI/LLM experience; tutorials and side projects are not enough. * No proven track record of successful AI/ML platform implementations at enterprise scale. * "I designed it, someone else delivers it" mindset; this role requires both strategic oversight and deep technical credibility. * Poor references or a history of missed commitments. * Lack of executive presence or inability to communicate trade-offs clearly to technical and non-technical audiences. * Needs detailed specs before forming an opinion; this role demands decision-making under uncertainty. ## Description * Provide strategic leadership and hands-on oversight for a large-scale data-to-AI transformation programme, ensuring architecture decisions align with AWS best practices and fintech regulatory requirements. * Design, review, and govern agentic AI systems and LLM-powered workflows (Claude, GPT, or similar) end-to-end: prompt engineering, tool calling, multi-step reasoning, retries, fallbacks, and state management. * Architect and steer the build of scalable data pipelines and AI/ML platforms on AWS (Glue, Lambda, SageMaker, Bedrock), with deep involvement in distributed computing, performance, and cost optimisation. * Own the technical roadmap and mentor delivery teams; if the AI platform is misaligned, unscalable, or non-compliant, it is on you. * Influence C-level stakeholders and engineering teams directly, translating complex AI architecture into clear business outcomes and risk-mitigated execution plans. * Work autonomously to programme deadlines with minimal hand-holding; this is a strategic leadership role, not a task-execution role. ## Related Videos - [AI PowerPlay: Building High-Impact Teams & Transformative Solutions](https://www.wearedevelopers.com/videos/1005-ai-powerplay-building-high-impact-teams-transformative-solutions) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [ Evaluating AI models for code comprehension](https://www.wearedevelopers.com/videos/1462-evaluating-ai-models-for-code-comprehension) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [AI beyond the code: Master your organisational AI implementation.](https://www.wearedevelopers.com/videos/1248-ai-beyond-the-code-master-your-organisational-ai-implementation) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts)