Inbank
financial technology
AIPlatformEngineer
“AI Platform Engineer at Inbank. Skills: AI Platform Strategy, LLM Architecture, Cloud Infrastructure, AI Solutions Implementation. Shape AI strategy. Turn ideas into production-ready solutions”
What You'll Achieve.
scale its impact across the organization; connect AI strategy to tangible business value; ensure ROI; uphold banking-grade security; uphold data protection; uphold regulatory compliance; scale successful ones into production; ensure every initiative delivers measurable business value; ensure every initiative delivers ROI; maintain auditability; ensure compliance and alignment with company priorities; making it a secure, scalable, and impactful part of everyday work
Industry & Context.
identify what delivers value; identify where improvements are needed; identify where AI and automation can have the greatest impact; validate ideas quickly; challenge ideas
What They're Looking For.
Must Have
background in machine learning, background in data engineering, understanding of how models and data systems work, ability to move seamlessly between big-picture thinking and hands-on execution, experience working with modern AI ecosystems, experience working with LLMs, experience working with cloud-based platforms, sharp eye for data quality, understanding of how data quality impacts AI solutions, practical mindset for turning technical capabilities into real business impact, experience working in environments where security, privacy, and regulatory requirements matter, confidence engaging with senior stakeholders, confidence challenging ideas, confidence influencing decisions, ability to communicate complex topics clearly, ability to communicate complex topics in a structured way, ability to communicate complex topics in a convincing way, proactive, ownership-driven approach, comfort operating in a fast-moving environment, comfort operating in a sometimes ambiguous environment
Nice to Have
fintech experience
What You'll Do.
Turn ideas into production-ready solutions
Build and evolve AI ecosystem
Make key decisions on LLM architecture
Make key decisions on agentic tooling
Make key decisions on cloud infrastructure
Evaluate tools and applications
Identify value delivery
Identify areas for improvement
Identify where AI and automation can have greatest impact
Prototype AI solutions
Implement AI solutions
Scale successful ideas into production
Own AI as internal product
Ensure initiatives deliver measurable business value
Ensure initiatives deliver ROI
Build secure and scalable AI foundation
Ensure GDPR compliance
Enforce data loss prevention
Maintain auditability
Enable engineers with toolkits
Enable engineers with frameworks
Enable engineers with MCP servers
Enable engineers with best practices
Establish clear guidelines for AI usage
Establish clear governance for AI usage
Ensure compliance with company priorities
Ensure alignment with company priorities
Contribute to long-term vision of embedding AI
Make AI a secure part of work
Make AI a scalable part of work
Make AI an impactful part of work
How You'll Work.
Team & Collaboration
Work closely with CPTO; Work closely with Head of Tech Platform; Engage with senior stakeholders; Work closely with Risk; Work closely with Oversight; Work closely with senior leadership
Communication Scope
communicate complex topics clearly; communicate complex topics in a structured way; communicate complex topics in a convincing way
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