Source description
About the role
ABOUT THE PROJECT (DESCRIPTION, DURATION, STAGE)
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
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Support business development through technical expertise and client communication
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Enable engineering team growth and high-performance delivery
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Contribute to critical AI system architecture and implementation
KPI
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Achieve 90%+ Customer Satisfaction Index (CSI) on technical delivery
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Support team performance improvement and capability development
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Deliver scalable AI system architectures that meet FSI compliance requirements
AREAS OF RESPONSIBILITY
BUSINESS DEVELOPMENT SUPPORT
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Communicate project progress with customers, explaining business and technology logic clearly
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Prepare upsell and account expansion ideas for existing clients
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Assist in proposal preparation for new client engagements
ENGINEERING TEAM ENABLEMENT
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Lead AI Engineers on customer projects, create tasks, control performance, and share feedback (not all projects require AI Engineers)
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Help the engineering team grow, identify, and support high-performers
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Participate in performance reviews and performance improvement plans
TECHNICAL ARCHITECTURE & IMPLEMENTATION
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Take part in the implementation of critical software pieces
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Define how AI transforms business processes; design end-to-end AI-powered experiences
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Design scalable AI systems architecture; decide on model selection, deployment patterns, and infrastructure requirements
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Bridge business stakeholders and technical teams; translate business needs into technical specifications
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Design how multiple AI agents/models work together; define agent-to-agent communication protocols
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Establish AI development standards, safety protocols, and compliance frameworks
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Design systems for AI safety, bias mitigation, and failure modes; implement monitoring and intervention systems
Skills
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TECHNICAL EXCELLENCE
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AI system architecture design and implementation
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Model selection and deployment pattern expertise
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Multi-agent system design and communication protocols
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AI safety and compliance framework development
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Business process transformation through AI
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LEADERSHIP & COMMUNICATION
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Advanced written and oral communication in English
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Technical team leadership and performance management
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Business stakeholder communication and requirement translation
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Client relationship management and technical explanation abilities
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EXPERIENCE
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Key characteristics (ideally to have 4/4):
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Experience in hands-on AI/ML solutions development
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Experience working with financial services clients or inside an FSI company
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Experience with large, regulated organisations (banks, insurers, government, utilities) is a plus.
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Experience working in a cloud hyperscaler
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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.
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Experience in technology consulting or service business
More at Neurons Lab
