AI Solutions Architect - Agentic Optimization & Explainable AI (AWS)

Role Overview:
Design and architect an AI-enabled optimization solution that integrates with third-party engines to automate back-office processes, ensuring a scalable, secure, regulatory compliance and explainable AI foundation.
Key Responsibilities:
• Design the overall architecture for the agentic AI platform leveraging company AI assets and solution accelerators
• Define integration patterns between LLMs, specialized models, and external engines
• Establish AI governance frameworks and responsible AI controls
• Create technical specifications for agent orchestration and workflows
• Ensure solution meets security, PII, scalability, and performance requirements
• Guide the development team on AI implementation best practices
• Design explainability components for AI-driven decisions

Required Skills:
• 8+ years of experience in software architecture with 3+ years in AI/ML systems
• Deep expertise in LLM integration, prompt engineering, and agent-based architectures
• Experience with financial services applications and regulatory requirements
• Knowledge of AWS cloud architecture and AI/ML services
• Understanding of optimization algorithms and financial modeling
• Strong technical leadership and communication skills

Technologies:
• AWS services: Lambda, ECS, API Gateway, S3, DynamoDB, SageMaker
• LLM platforms: OpenAI GPT models, AWS Bedrock, or approved LLM platforms
• Agent orchestration frameworks: LangChain, AutoGen, or similar
• Infrastructure as Code: Terraform, CloudFormation
• API development: REST, GraphQL
• Security frameworks: AWS IAM, KMS, Secret Manager
• Monitoring tools: CloudWatch, Prometheus, Grafana
• Version control: GitHub Enterprise, TeamCity