Tech Lead / Lead Architect – RAG & Agentic AI

Job Summary

We are seeking an enterprise-caliber Tech Lead / Lead Architect – RAG & Agentic AI to spearhead the architecture, design, and production delivery of our next-generation cognitive systems. In this highly visible role, you will partner directly with clients and internal cross-functional squads to build scalable, secure, and exceptionally high-impact AI ecosystems.

The ideal candidate bridges the gap between deep generative AI engineering (RAG, Vector DBs, Multi-Agent Orchestration) and robust, cloud-native enterprise design.

Crucial Domain Requirement: This role sits within a highly regulated tier-1 environment. Strong financial and banking domain experience is strictly required. -

Key Responsibilities

• End-to-End AI Architecture: Own the architecture, technical blueprint, and execution of production-grade Retrieval-Augmented Generation (RAG) and Agentic AI applications.

• Rapid Prototyping: Build, test, and validate comprehensive Proof of Concepts (PoCs) to demonstrate technical viability before committing solutions to enterprise clients.

• Cloud & Security Governance: Design resilient AWS infrastructures ensuring strict data privacy, enterprise network isolation, and robust AI guardrails (toxicity filtering, data leakage mitigation, and hallucination controls).

• API & System Integration: Architect low-latency REST/GraphQL APIs, distributed microservices, and event-driven data streaming layers built specifically to power AI engines.

• Production Optimization: Drive continuous model evaluation, operational observability, fine-tuning, latency minimization, and strict cost optimization across live models.

• Technical Leadership: Lead from the front by mentoring developer squads, running rigorous code/architecture reviews, and maintaining delivery velocity under tight timelines.

Required Technical Matrix & Skills

Core AI Engineering (Must-Have):

• Production experience with advanced RAG pipelines, custom embedding strategies, Vector Databases, LLM orchestration, and advanced prompt engineering.

• Proven track record implementing AI Guardrails (toxicity, hallucination control, alignment) and managing model evaluation/observability frameworks.

Cloud Infrastructure & DevOps:

• Deep, hands-on architectural expertise within Amazon Web Services (AWS), specifically utilizing AWS Bedrock, Lambda, API Gateway, OpenSearch, S3, IAM, VPC, and Secrets Manager.

Enterprise Architecture & Integration:

• Expertise in microservices design, API modeling, and handling event-driven patterns for high-throughput AI workloads.

Preferred Qualifications (Assets)

• Practical experience working with Agentic AI frameworks (e.g., LangGraph, CrewAI, AutoGen, Semantic Kernel).

• Experience with multi-agent orchestration, Model Context Protocol (MCP) tool usage, and human-in-the-loop workflows.

• Exposure to financial marketing use cases (predictive campaign optimization, hyper-personalization, analytics, and intelligence insights).

Work Environment & Interview Expectations

• Work Arrangement: Hybrid structure requiring a mandatory 3 days per week onsite at either our Columbus, OH or Wilmington, DE corporate offices.

• Communication: Exceptional communication skills are required. You must possess the ability to effortlessly break down complex architectural trade-offs, financial data boundaries, and risk metrics to non-technical executive stakeholders.