Neurons Lab is an FSI-focused AI consultancy that embeds directly with enterprise clients — banks, insurers, and financial institutions — to design and deliver AI transformation.
As an AI Solutions Architect in our Talent Network, you will be the technical lead on client engagements, designing and delivering production-ready AI architectures. Most projects enter the discovery or pilot stage and run 6–12 weeks.
This is a Talent Network engagement, not a full-time position.
Projects are scoped and initiated by Neurons Lab when a client engagement begins. You are invited to join when a matching project is available, and you are free to take it.
You work as a freelance contractor at 0.25–0.5 FTE per project (10–20 hrs/week).
Between projects, there may be gaps, and you're free to hold other commitments alongside Neurons Lab.
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
AI system architecture design and implementation
Model selection and deployment pattern expertise
Multi-agent system design and communication protocols
AI safety and compliance framework development
Business process transformation through AI
Advanced written and oral communication in English
Technical team leadership and performance management
Business stakeholder communication and requirement translation
Client relationship management and technical explanation abilities
Key characteristics (ideally to have 4/4):
Experience with large, regulated organisations (banks, insurers, government, utilities) is a plus.
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.
