Enterprise Architect - Agentic AI

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., 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., * 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., * 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., * 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., * 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., * Design enterprise data platforms and distributed data architectures using:

• Oracle
• PostgreSQL
• Cassandra
• CockroachDB
• DynamoDB

• Build scalable event streaming architectures using:

• Kafka
• Apache Flink, * 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., * Establish enterprise testing strategies covering:

• Unit testing
• Component testing
• Contract testing
• Functional testing
• Performance testing
• Chaos engineering
• Resilience testing, * Expertise in:
• Enterprise Architecture
• Solution Architecture
• Distributed Systems
• Event-Driven Architecture
• Domain-Driven Design (DDD)
• Microservices
• API-led integrations
• Resiliency engineering, * 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.

Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.

Candidate Data Collection Disclaimer: At ApTask, we prioritize safeguarding your privacy. As part of our recruitment process, certain Personally Identifiable Information (PII) may be requested by our clients for verification and application purposes. Rest assured, we strictly adhere to confidentiality standards and comply with all relevant data protection laws. Please note that we only collect the necessary information as specified by each client and do not request sensitive details during the initial stages of recruitment.

If you have any concerns or queries about your personal information, please feel free to contact our compliance team at businessexcellence@aptask.com.

15+ years in enterprise architecture, solution architecture, digital transformation, and large-scale banking programs., * Strong experience in Banking and Financial Services.

• Good analytics and data-driven decision-making capabilities.
• Experience with enterprise-scale transactional and regulatory systems., 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, * 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., * Bachelor's or Master's degree in Computer Science, Engineering, or related field.

• 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.