AVP, AI Solutions Engineer

Role Overview

• Embed AI-first and ML engineering principles into SDLC, ensuring intelligent automation and predictive capabilities are considered from design through deployment.
• Design and develop agentic AI solutions for: Data governance tracking and compliance monitoring.
• Exception detection and resolution across multiple data domains.
• Reconciliation frameworks using rule-based and AI-driven logic.
• Lifecycle management workflows for investor and operational domains.
• Build intelligent agents that apply rules or adaptive intelligence to automate exception handling and reconciliation.
• Develop APIs and microservices using Python (FastAPI) and .NET Core for agentic workflows.
• Integrate AI workflows with LDX UI components built in Angular for user review and configuration.
• Implement event-driven architectures using AWS EventBridge, Lambda, and Step Functions for real-time orchestration.
• Deploy and manage LLMs (Claude, GPT, Amazon Titan) via AWS Bedrock and integrate RAG pipelines using LangChain or Haystack.
• Build knowledge bases and embedding models for contextual reasoning using vector databases (Pinecone, OpenSearch).
• Apply memory management techniques for multi-agent orchestration (short-term and long-term memory persistence).
• Ensure observability and reliability using AWS CloudWatch, X-Ray, and Dynatrace.
• Implement security best practices (IAM, KMS, encryption) and compliance frameworks (SOC2, GDPR).
• Build automation frameworks using UiPath or RPA tools to complement AI-driven workflows.
• Optimize for performance, scalability, and cost efficiency in AWS deployments.
• Stay current with emerging AI orchestration frameworks, LLM technologies, and cloud-native patterns.

Requirements

• 5+ years of experience in software development with a strong focus on AI/ML integration and intelligent automation.
• 3+ years of hands-on experience building agentic AI solutions and multi-agent orchestration workflows.
• 5+ years of proficiency in: Backend: Python (FastAPI), .NET Core. Frontend: Angular for UI integration.
• 3+ years of experience with AWS Agent core, AWS Bedrock, SageMaker, Lambda, Fargate, Step Functions, EventBridge, Glue, S3.
• 3+ years of strong understanding of ML engineering practices, including model lifecycle management and AI-first SDLC integration.

Tech Stack

• Angular
• AWS
• Cloud
• Microservices
• Python
• Ray
• RPA
• SDLC
• .NET

Benefits

• 401K matching
• health benefits
• employee stock options
• paid time off
• volunteer time off