[Hiring] AI Solutions Architect @Neurons Lab

Role Description

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.

Qualifications

• 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 (Azure, AWS, GCP) are treated as equally valid for this role
• Experience in technology consulting or service business

Requirements

• 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

Benefits

• Flexible working hours
• Opportunity to work on diverse projects
• Engagement with leading financial institutions

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

Skills

• 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