AI Solutions Architect

Description

Summary: Join as an AI Solutions Architect in our Talent Network, leading client engagements to design and deliver production-ready AI architectures for financial institutions. Highlights: 1. Lead AI architecture design for FSI clients as a technical expert 2. Enable engineering team growth and high-performance delivery 3. Freelance contractor role with flexible commitment **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** ------------- * 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 **Skills** ========== ### **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 **Experience** ============== 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