Enterprise Architect - Agentic AI, Columbus

Position Title : Enterprise Architect - Agentic AI - Banking Domain Location : Columbus, OH Experience 15+ years in enterprise architecture, solution architecture, digital transformation, and large-scale banking programs.

Role Overview We are seeking a highly experienced Enterprise Architect with deep expertise in Banking, cloud-native architecture, enterprise modernization, and Agentic AI platforms. The ideal candidate will lead architecture strategy and execution for large-scale banking systems, including greenfield platform engineering, modernization of legacy applications, resilient multi-region architectures, and AI-enabled enterprise solutions.The role also requires strong client-facing and pre-sales capabilities, including solution consulting, architecture presentations, proposal creation, proof-of-concept (POC) execution, and effort estimation for large transformation programs. This role requires strong technical depth across cloud, distributed systems, event-driven platforms, AI/LLM ecosystems, data engineering, enterprise SDLC, and solution consulting.

Key Responsibilities

Pre-Sales, Client Consulting&Solution Engineering

Act as a trusted advisor for clients during solution discovery and transformation discussions. Collaborate with sales, delivery, and business teams to build winning technology solutions. Lead client workshops, architecture discussions, and executive presentations. Build and present enterprise solution proposals aligned to client business and technical requirements.Develop Proof of Concepts (POCs), prototypes, and reference implementations to validate architecture approaches and demonstrate technical feasibility. Support RFP/RFI/RFQ responses by:

Defining technical solutions Preparing architecture proposals Building solution narratives and technical differentiators Identifying risks and mitigation strategies

Perform high-level and detailed effort estimations for engineering, migration, modernization, AI, and cloud transformation initiatives. Contribute to capability development, solution accelerators, reusable frameworks, and architecture assets.

Enterprise&Solution Architecture

Define enterprise architecture strategy aligned with banking business capabilities and digital transformation goals. Design scalable, secure, resilient, and high-performing enterprise platforms. Lead architecture governance, technology standards, and architecture review boards. Create and maintain:

C1, C2, C3, and C4 architecture models High-Level Design (HLD) Low-Level Design (LLD) Architecture decision records and solution blueprints

Build architecture artifacts using Lucidchart and PowerPoint.

Banking Transformation&Modernization

Lead greenfield application development initiatives. Drive modernization of legacy banking applications into cloud-native and microservices-based architectures. Design highly available and fault-tolerant:

Multi-AZ architectures Multi-region active-active / active-passive systems

Ensure architecture compliance with banking security, audit, resiliency, and regulatory standards.

Agentic AI&Intelligent Platforms

Architect enterprise-grade Agentic AI solutions leveraging:

AWS Bedrock LLMs including Anthropic and OpenAI models Agent SDKs LangChain LangGraph LangSmith Retrieval-Augmented Generation (RAG) Vector databases such as Neo4j and TigerGraph A2A and MCP-based integrations

Define AI orchestration, observability, governance, and secure AI deployment patterns.

Cloud&Platform Engineering

Design and implement cloud-native architectures on AWS. Lead Infrastructure as Code (IaC) initiatives using Terraform. Architect containerized platforms using:

Docker Kubernetes PCF (Pivotal Cloud Foundry)

Define DevSecOps and platform engineering best practices.

Application Engineering

Guide engineering teams across enterprise technology stacks including:

Java, Spring Boot Python PySpark / JavaSpark ReactJS APIGEE

Drive API-first, event-driven, and microservices-based architecture patterns.

Data&Event Streaming Architecture

Design enterprise data platforms and distributed data architectures using:

Oracle PostgreSQL Cassandra CockroachDB DynamoDB

Build scalable event streaming architectures using:

Kafka Apache Flink

SRE, Observability&Reliability

Define enterprise observability and reliability engineering practices. Implement monitoring, logging, tracing, and operational intelligence using:

Splunk Dynatrace Grafana AWS CloudWatch

Lead resiliency engineering and operational excellence initiatives.

Engineering Quality&Testing

Establish enterprise testing strategies covering:

Unit testing Component testing Contract testing Functional testing Performance testing Chaos engineering Resilience testing

Agentic SDLC&Developer Productivity

Drive AI-assisted SDLC transformation initiatives using:

GitHub Copilot Claude Code Spec Driven Development - BMAD, Spec Kit

Enable architecture automation, developer productivity, and intelligent engineering workflows.

Required Skills&Experience Domain Expertise

Strong experience in Banking and Financial Services. Good analytics and data-driven decision-making capabilities. Experience with enterprise-scale transactional and regulatory systems.

Architecture&Design

Expertise in:

Enterprise Architecture Solution Architecture Distributed Systems Event-Driven Architecture Domain-Driven Design (DDD) Microservices API-led integrations Resiliency engineering

Technical Skills AI&Agentic Platforms

AWS Bedrock OpenAI / Anthropic LLMs LangChain, LangGraph, LangSmith RAG architectures Vector DBs: Neo4j, TigerGraph A2A, MCP Cloud&DevOps

AWS Terraform Docker Kubernetes PCF Programming

Java Spring Boot Python PySpark / JavaSpark ReactJS Databases

Oracle PostgreSQL Cassandra CockroachDB DynamoDB Streaming&Real-Time Platforms

Kafka Apache Flink Observability&SRE

Splunk Dynatrace Grafana AWS CloudWatch Testing&Reliability

Functional and non-functional testing Chaos engineering Resilience validation

Preferred Qualifications

Experience leading enterprise transformation programs for Tier-1 banks. Experience in client-facing consulting and pre-sales solutioning roles. AWS or Kubernetes certifications preferred. Experience with AI governance and enterprise AI security frameworks. Strong stakeholder management and executive communication skills.

Education

Bachelor's or Master's degree in Computer Science, Engineering, or related field.

Success Criteria

Architect scalable and resilient banking platforms. Accelerate modernization and cloud transformation initiatives. Enable enterprise adoption of Agentic AI capabilities. Improve system resiliency, observability, and engineering productivity. Drive technology standardization and architecture governance across the organization.Contribute to business growth through effective solution consulting, client engagement, POCs, and successful RFP responses.

About ApTask: ApTask is a leading global provider of workforce solutions and talent acquisition services, dedicated to shaping the future of work. As an African American-owned and Veteran-owned company, ApTask offers a comprehensive suite of services, including staffing and recruitment solutions, managed services, IT consulting, and project management. With a focus on excellence, collaboration, and innovation, ApTask provides unparalleled opportunities for professional growth and development. As a member of the ApTask team, you will have the chance to connect businesses with top-tier professionals, optimize workforce performance, and drive success across diverse industries. Join us at ApTask and be part of our mission to empower organizations to thrive while fostering a diverse and inclusive work environment.

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