At a Glance
- Tasks: Lead the design of next-gen Voice AI solutions for a top banking client.
- Company: Join a leading bank and shape the future of customer engagement.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Work in a dynamic environment with a focus on innovation and compliance.
- Why this job: Make a real impact in AI and data architecture within the financial sector.
- Qualifications: 12-18 years in AI and data architecture, with strong stakeholder engagement skills.
The predicted salary is between 80000 - 100000 £ per year.
We are seeking a seasoned Voice AI Lead Architect with strong Data Architecture expertise to lead the design and implementation of next-generation Voice/Agentic AI solutions for a leading banking client on GCP. This role combines conversational AI, data strategy, and customer engagement, acting as a trusted advisor to drive intelligent, data-driven IVR transformation.
Key Responsibilities
- Act as the onsite Voice AI and Data Architecture lead, building strong relationships with banking stakeholders across business, data, and IT teams.
- Design and deliver Voice AI / Agentic IVR solutions leveraging: Google CES/CXAS, Dialogflow CX / CCAI Vertex AI (LLMs, RAG, agent frameworks).
- Define and implement enterprise data architecture for Voice AI: Conversation data pipelines (real-time + batch), integration with data lakes, warehouses (BigQuery), Customer 360 and contextual data enablement.
- Build RAG-based knowledge systems integrating structured and unstructured banking data.
- Architect data-driven decisioning for voice agents (personalization, next-best action, fraud detection signals).
- Ensure integration with core banking, CRM, and analytics platforms.
- Establish data governance, lineage, quality, and compliance frameworks (GDPR, PCI-DSS).
- Drive conversation analytics, observability, and feedback loops to continuously improve AI performance.
Key Skills
- Strong expertise in Voice AI / Conversational AI architecture.
- Deep knowledge of Data Architecture (data lakes, pipelines, streaming, analytics).
- Experience with GCP data stack (BigQuery, Pub/Sub, Dataflow, Cloud Storage).
- Understanding of RAG, embeddings, and knowledge retrieval frameworks.
- Strong stakeholder engagement and consulting skills.
- Experience 12–18+ years in architecture with focus on data + AI platforms.
- Proven experience in Voice AI / IVR / Contact Center transformation programs.
- Hands-on experience designing enterprise data platforms in banking.
- Experience working in regulated financial environments.
- Track record of driving data-driven CX transformation initiatives.
Preferred Qualifications
- Experience with Customer 360, real-time personalization, and behavioral analytics.
- Exposure to multi-agent AI architectures and tool invocation frameworks.
- Experience with CCaaS platforms (Google CES/CXAS, Genesys, NICE, Amazon Connect).
- Strong understanding of AI/ML lifecycle, MLOps, and data governance.
- Experience working with Tier-1 banks or large financial institutions.
Certifications
- Google Cloud Professional Data Engineer (Highly Preferred).
- Google Professional Cloud Architect.
- Google Machine Learning Engineer.
- Certifications in Conversational AI (Dialogflow CX or equivalent).
- TOGAF / Enterprise Architecture certifications.
- Data certifications (good to have): CDMP, Databricks, Snowflake.
Artificial Intelligence Specialist employer: Infinity Quest
Join a forward-thinking banking institution that prioritises innovation and employee development, offering a dynamic work culture where your expertise in Voice AI and Data Architecture will be valued. With a strong commitment to professional growth, you will have access to cutting-edge technology and the opportunity to collaborate with industry leaders, all while enjoying a supportive environment that fosters creativity and teamwork. Located in a vibrant city, this role not only promises meaningful work but also a chance to make a significant impact in the financial sector.
StudySmarter Expert Advice🤫
We think this is how you could land Artificial Intelligence Specialist
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even just grab a coffee with someone who works in AI or banking. Building relationships can open doors that a CV just can't.
✨Show Off Your Skills
Don’t just talk about your experience; demonstrate it! Create a portfolio showcasing your projects, especially those involving Voice AI or data architecture. This gives potential employers a taste of what you can do.
✨Ace the Interview
Prepare for interviews by practising common questions related to Voice AI and data architecture. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your achievements.
✨Apply Through Us!
We’ve got some fantastic opportunities on our website, so don’t hesitate to apply directly through us. It’s a great way to get noticed and show your enthusiasm for joining the team!
We think you need these skills to ace Artificial Intelligence Specialist
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the job description. Highlight your expertise in Voice AI and Data Architecture, and don’t forget to mention any relevant projects you've worked on!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're the perfect fit for the role. Talk about your experience with GCP and how you’ve driven data-driven CX transformation initiatives in the past.
Showcase Your Technical Skills:Be specific about your technical skills related to the GCP data stack and Voice AI solutions. Mention any certifications you have, like Google Cloud Professional Data Engineer or Conversational AI certifications, to stand out!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity!
How to prepare for a job interview at Infinity Quest
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, especially Google Cloud Platform tools like BigQuery and Dialogflow CX. Brush up on your knowledge of Voice AI architecture and data pipelines, as you’ll likely be asked to discuss how you would implement these solutions.
✨Showcase Your Stakeholder Skills
Since this role involves strong stakeholder engagement, prepare examples of how you've successfully collaborated with business, data, and IT teams in the past. Think about specific projects where you acted as a trusted advisor and how you navigated challenges in those relationships.
✨Prepare for Real-World Scenarios
Expect scenario-based questions that test your problem-solving skills in real-time. Be ready to discuss how you would architect data-driven decision-making for voice agents or improve AI performance through conversation analytics. Use your past experiences to illustrate your thought process.
✨Understand Compliance and Governance
Given the regulated nature of the banking environment, brush up on GDPR and PCI-DSS compliance frameworks. Be prepared to discuss how you would ensure data governance and quality in your proposed solutions, as this will be crucial for the role.
