At a Glance
- Tasks: Lead AI architecture projects and influence key stakeholders in a dynamic fintech environment.
- Company: Join a top-tier financial institution driving AI transformation.
- Benefits: Flexible remote work, competitive pay, and opportunities for professional growth.
- Other info: Ideal for those seeking strategic leadership roles with significant career advancement.
- Why this job: Shape the future of AI in finance and make impactful decisions.
- Qualifications: Expertise in AI APIs, Python, and data orchestration required.
The predicted salary is between 70000 - 90000 £ per year.
Location: UK only | Remote / Client site hybrid
Reports to: Engagement Director
Type: Contract or Perm
Client: Tier 1 Financial Institution
Core responsibilities:
- 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.
Key qualifications:
- 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 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.
Interested? We are partnering with AWS to deliver a high-stakes AI transformation for a leading fintech. If you want to shape the architecture, not just follow it, we want to hear from you.
AI Data and Solution Architect employer: Vamstar
As an AI Data and Solution Architect at our company, you will be part of a dynamic team that thrives on innovation and collaboration within the financial services sector. We offer a flexible remote working environment, competitive compensation, and opportunities for professional growth, ensuring you can influence key stakeholders while developing your skills in a cutting-edge field. Join us to make a meaningful impact on AI transformation projects with a Tier 1 financial institution, where your expertise will be valued and your contributions recognised.
