[Hiring] AI Architect @Neurons Lab.com

Role Description

We're transforming how financial services companies operate through AI-driven solutions. Our portfolio spans major banks, insurance providers, and asset management firms, where we're solving real business challenges on multiple fronts.

• Revolutionizing front-office operations with intelligent chatbots and voice solutions
• Automating complex back-office workflows, including document processing and OCR automation
• Improving customer experiences while reducing operational costs and compliance risks

Objective + KPI

• Ensure deploying developed in-house AI and solutions on 80% of the projects
• Maintain customer satisfaction index (CSI) at 100%

Areas of Responsibility

• Lead technical discovery sessions and scoping workshops with financial services clients
• Take ownership of technical sales process to ensure proposed AI solutions align with client requirements
• Lead solution architecture and design where AI agents require custom integration with financial systems
• Own quality and performance of developed AI solutions for banking, insurance, and asset management clients
• Communicate technical progress and milestones to stakeholders
• Define prompts, context, verification processes, and fine-tuning strategies for AI agents
• Establish best practices for prompt engineering and context management in financial use cases

Skills

• Expert-level solution architecture skills with AWS AI/ML services
• Advanced technical leadership and team coordination abilities
• Exceptional client-facing communication and presentation skills
• Hands-on experience with AWS AI/ML stack (Bedrock, SageMaker, Lambda, Connect, Comprehend)
• LLM frameworks and their enterprise integration (Anthropic Claude, LangChain)
• System design for high-compliance environments
• Technical sales and solution demonstrations
• Strong technical writing and documentation capabilities
• Rapid prototyping and proof-of-concept development

Knowledge

• Deep understanding of enterprise architecture patterns for AI systems
• Comprehensive knowledge of AI agent frameworks and orchestration
• Expert understanding of AWS AI/ML services and architectural best practices
• Strong awareness of financial services regulations and compliance requirements
• In-depth knowledge of call center technologies and integration points
• Document processing workflows in financial institutions
• Emotional intelligence capabilities in customer-facing AI solutions
• Financial domain processes (lending, claims, advisory, etc.)
• Security and privacy considerations for financial data

Experience

• 5+ years of experience leading technical teams in banks, insurance companies, or financial technology providers
• 5+ years of proven track record designing and implementing enterprise-grade AI solutions
• 3+ years of client-facing technical leadership in solution architecture or forward-deployed engineering roles
• 3+ years of experience with AWS architecture and services, particularly AI/ML offerings
• Bachelor's degree in Computer Science, Engineering, or related field (Master's preferred)
• Successful delivery of multiple large-scale AI projects from concept to production