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.
Objective
- 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
KPI
- 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
Areas of Responsibility
Business Development Support
- 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
Engineering Team Enablement
- 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
Technical Architecture & Implementation
- 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
Technical Excellence
- 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
Leadership & Communication
- 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 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
