Talent.com
AI Solution Architect (FSI)

AI Solution Architect (FSI)

Neurons Lab LtdSt. John's, NL, United States
2 days ago
Job type
  • Full-time
Job description

About the project

We have multiple projects in the FSI industry-banking, insurance, and asset management-with use cases related to front-office optimization, such as customer support and call centers using chatbots and voice solutions. We also handle back-office optimization, like document workflow and OCR-related automations.

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

Human Work

  • Lead technical discovery sessions and scoping workshops with financial services clients to understand needs and challenges
  • 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, focusing on business impact and strategic value
  • 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
  • Architecture & Design

  • Develop comprehensive AI solution visions and architectures for financial services clients
  • Design scalable AWS-based AI architectures that meet regulatory requirements
  • Create compelling presentations and demos showcasing proposed AI solutions for call centers and document processing
  • Provide accurate estimates for timelines, resources, costs, and delivery milestones
  • Rapidly prototype AI / ML solutions to validate capabilities for financial use cases
  • Lead implementation of emotionally intelligent agents for customer service applications
  • Leadership

  • Mentor and lead teams of ML Engineers deploying GenAI solutions
  • Establish technical standards and quality gates for AI implementations
  • Bridge communications between technical teams and business stakeholders
  • Identify and mitigate technical risks in AI deployments within regulated environments
  • 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