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.

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

Please refer the Job description for details