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.