Ai Solution Architect

**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**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