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