Key skills
AWSAzureCloudGoogle Cloud PlatformAIMLGCPGoogle CloudCommunication
About this role
Role Overview
- Support business development through technical expertise and client communication
- Enable engineering team growth and high-performance delivery
- Contribute to critical AI system architecture and implementation
- Achieve 90%+ Customer Satisfaction Index (CSI) on technical delivery
- Support team performance improvement and capability development
- Deliver scalable AI system architectures that meet FSI compliance requirements
- Communicate project progress with customers, explaining business and technology logic clearly
- Prepare upsell and account expansion ideas for existing clients
- Assist in proposal preparation for new client engagements
- Lead AI Engineers on customer projects, create tasks, control performance, and share feedback (not all projects require AI Engineers)
- Help the engineering team grow, identify, and support high-performers
- Participate in performance reviews and performance improvement plans
- Take part in the implementation of critical software pieces
- Define how AI transforms business processes; design end-to-end AI-powered experiences
- Design scalable AI systems architecture; decide on model selection, deployment patterns, and infrastructure requirements
- Bridge business stakeholders and technical teams; translate business needs into technical specifications
- Design how multiple AI agents/models work together; define agent-to-agent communication protocols
- Establish AI development standards, safety protocols, and compliance frameworks
- Design systems for AI safety, bias mitigation, and failure modes; implement monitoring and intervention systems
Requirements
- Experience in hands-on AI/ML solutions development
- Experience working with financial services clients or inside an FSI company
- Experience with large, regulated organisations (banks, insurers, government, utilities) is a plus.
- Experience working in a cloud hyperscaler.
- All three major hyperscalers are treated as equally valid for this role. Neurons Lab serves clients across Azure, AWS, and GCP environments and needs certified architects on each platform.
- Experience in technology consulting or service business.
Tech Stack
- AWS
- Azure
- Cloud
- Google Cloud Platform
Benefits
- Between projects, there may be gaps, and you're free to hold other commitments alongside Neurons Lab.