At a Glance
- Tasks: Lead the design of innovative Voice AI solutions for a top banking client.
- Company: Join a leading bank at the forefront of AI technology.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on innovation and career advancement.
- Why this job: Shape the future of banking with cutting-edge AI and data strategies.
- Qualifications: Extensive experience in Voice AI and Data Architecture required.
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 in Slough employer: Infinity Quest
Join a forward-thinking banking institution that prioritises innovation and employee development. As an Artificial Intelligence Specialist, you will thrive in a collaborative work culture that encourages creativity and offers extensive growth opportunities through continuous learning and professional advancement. Located in a vibrant city, our company provides a dynamic environment where your expertise in Voice AI and Data Architecture will directly impact customer engagement and drive transformative solutions.
StudySmarter Expert Advice🤫
We think this is how you could land Artificial Intelligence Specialist in Slough
✨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 related to Voice AI or data architecture. This gives potential employers a taste of what you can do.
✨Ace the Interview
Prepare for interviews by researching common questions in the AI and banking sectors. Practice articulating your thought process when solving problems, especially around data-driven decision-making and customer engagement.
✨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 in Slough
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the role of Artificial Intelligence Specialist. Highlight your experience with Voice AI and Data Architecture, and don’t forget to mention any relevant projects or achievements that align with the job description.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for this role. Talk about your passion for AI and how your skills can help drive intelligent, data-driven IVR transformation for our banking client.
Showcase Your Technical Skills:Be sure to showcase your technical expertise in your application. Mention specific tools and technologies you’ve worked with, like Google Cloud Platform, BigQuery, and any experience with conversational AI frameworks. We want to see your hands-on experience!
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It’s the best way for us to receive your application and ensure it gets the attention it deserves. Don’t miss out on this 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’ve implemented these in past roles.
✨Showcase Your Stakeholder Skills
Since this role involves strong stakeholder engagement, prepare examples of how you've built relationships with business, data, and IT teams. Think about specific projects where your communication and consulting skills made a difference, and be ready to share those stories.
✨Prepare for Real-World Scenarios
Expect scenario-based questions that test your problem-solving abilities in real-time. Be ready to discuss how you would approach designing a Voice AI solution or integrating data governance frameworks in a banking environment. Use your experience to illustrate your thought process.
✨Understand Compliance and Governance
Familiarise yourself with GDPR and PCI-DSS regulations, as compliance is crucial in the banking sector. Be prepared to discuss how you’ve ensured data quality and governance in previous projects, and how you would apply that knowledge in this new role.
