Architect - AI platforms Implementation and Integration
Architect - AI platforms Implementation and Integration
Jersey City, New Jersey;Charlotte, North Carolina
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**Job Description:**
At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. We do this by driving Responsible Growth and delivering for our clients, teammates, communities and shareholders every day.
Being a Great Place to Work is core to how we drive Responsible Growth. This includes our commitment to being an inclusive workplace, attracting and developing exceptional talent, supporting our teammates’ physical, emotional, and financial wellness, recognizing and rewarding performance, and how we make an impact in the communities we serve.
Bank of America is committed to an in-office culture with specific requirements for office-based attendance and which allows for an appropriate level of flexibility for our teammates and businesses based on role-specific considerations.
At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us!
**Job Description:**
This job is responsible for defining an architectural vision and solution aligned to the enterprise architecture strategy, technology, and platform choices. Key responsibilities include describing the solution intent/associated operating environment, evaluating system impacts, determining the primary systems/sub-systems and their interfaces, and assisting with end-to-end solution design. Job expectations include defining non-functional requirements/architectural runway to support new epics/features and ensuring solutions are fit for purpose by working with stakeholders and service providers.
We are seeking a Architect with strong hands-on experience implementing and integrating AI platforms in alignment with approved enterprise architectures and AI control standards. This role focuses on execution and delivery, translating architectural designs and control requirements defined by Senior Architects into deployed, reliable solutions.
The position emphasizes deploying vendor AI platforms in an on‑prem OpenShift environment, integrating AI capabilities across the enterprise ecosystem, and applying Responsible AI and governance standards without owning policy or assessment responsibilities.
**Responsibilities:**
+ Consults with the business and operations to identify and understand challenges and opportunities to improve the use and effectiveness of technology, find creative solutions through knowledge of the domain, practical experiments, and Proof of Concepts, and aligns the solution intent and architectural vision to an evolving backlog of technology change
+ Works with product management and other stakeholders to plan and prioritize technology focused backlog items for the architecture runway to enable business epics/features
+ Performs design and code reviews to ensure all non-functional requirements for a solution are sufficiently met (for example, security, performance, maintainability, scalability, usability, and reliability)
+ Leads rapid shaping of a high level architecture with details filled in with emerging business requirements and ensures architecture is flexible, modular, and designed to adapt easily
+ Educates team members on the technology practices, standardization strategies, and best practices to create innovative solutions
+ Clarifies the architecture and assists with system design for the development teams to support implementation and provides solution options to resolve any architectural impediments
+ Utilizes the defined best practices, templates, and documentation to create architectural designs and suggests improvements to best practices and templates
+ AI Architecture Implementation & Enablement
+ Implement and refine AI and data architecture solutions
+ Deploy, configure, and operate vendor AI platforms and services within on‑prem OpenShift clusters.
+ Support implementation of Generative AI solutions including LLM services, RAG pipelines, agents, and supporting data services.
+ Apply standardized architectural patterns for scalability, reliability, and security.
+ Application of AI Controls & Responsible AI Standards
+ Implement predefined AI control standards related to security, privacy, access management, logging, and monitoring.
+ Embed established & new Responsible AI mechanisms such as content filtering, prompt controls, telemetry, and explainability tooling.
+ Ensure deployed solutions align with enterprise requirements for auditability, lineage, and approved usage patterns.
+ Systems Integration & Delivery
+ Build, configure, and test integrations between AI platforms and enterprise systems including data platforms, identity services, monitoring tools, and other AI capabilities.
+ Develop and maintain APIs, data pipelines, and event-driven integrations to support end‑to‑end AI solutions.
+ Document technical implementations, deployment configurations, and operational dependencies.
+ Operational Support & Continuous Improvement
+ Support production readiness activities including validation, performance testing, observability configuration, and operational handoff.
+ Troubleshoot deployment, runtime, and integration issues across AI platform components.
+ Provide implementation feedback and identify technical gaps or improvement opportunities to Senior Architects.
**Required Qualifications:**
+ 4–7 years of experience in data engineering, AI/ML platforms, platform engineering, or architecture-adjacent roles.
+ Hands-on experience deploying and operating applications on Kubernetes or OpenShift platforms.
+ Experience implementing system integrations using APIs, data pipelines, and event-based architectures.
+ Working knowledge of AI/ML and Generative AI platforms, components, and deployment patterns.
+ Proficiency in Python and SQL; familiarity with containerized workloads.
+ Understanding of enterprise security, identity, logging, and operational requirements.
+ Strong execution, problem-solving, and collaboration skills.
+ Hands-on AI platform implementation and integration
+ Kubernetes / OpenShift deployment expertise
+ Application of architectural standards and AI controls
**Desired Qualifications:**
+ Experience deploying AI or data platforms in on‑prem OpenShift environments, with focus on LangSmith or Galileo AI
+ Familiarity with vector databases, RAG architectures, and LLM orchestration frameworks.
+ Exposure to MLOps or LLMOps tools and workflows.
+ Experience working in large-scale or regulated enterprise environments.
**Skills:**
+ Analytical Thinking
+ Architecture
+ Result Orientation
+ Solution Design
+ Technical Strategy Development
+ Application Development
+ Collaboration
+ Data Management
+ DevOps Practices
+ Risk Management
+ Agile Practices
+ Automation
+ Influence
+ Solution Delivery Process
+ Test Engineering
**Shift:**
1st shift (United States of America)
**Hours Per Week:**
40
Bank of America and its affiliates consider for employment and hire qualified candidates without regard to race, religious creed, religion, color, sex, sexual orientation, genetic information, gender, gender identity, gender expression, age, national origin, ancestry, citizenship, protected veteran or disability status or any factor prohibited by law, and as such affirms in policy and practice to support and promote the concept of equal employment opportunity, in accordance with all applicable federal, state, provincial and municipal laws. The company also prohibits discrimination on other bases such as medical condition, marital status or any other factor that is irrelevant to the performance of our teammates.
View your **"Know your Rights (https://www.eeoc.gov/sites/default/files/2023-06/22-088\_EEOC\_KnowYourRights6.12.pdf) "** poster.
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Bank of America aims to create a workplace free from the dangers and resulting consequences of illegal and illicit drug use and alcohol abuse. Our Drug-Free Workplace and Alcohol Policy (“Policy”) establishes requirements to prevent the presence or use of illegal or illicit drugs or unauthorized alcohol on Bank of America premises and to provide a safe work environment.
Bank of America is committed to an in-office culture with specific requirements for office-based attendance and which allows for an appropriate level of flexibility for our teammates and businesses based on role-specific considerations. Should you be offered a role with Bank of America, your hiring manager will provide you with information on the in-office expectations associated with your role. These expectations are subject to change at any time and at the sole discretion of the Company. To the extent you have a disability or sincerely held religious belief for which you believe you need a reasonable accommodation from this requirement, you must seek an accommodation through the Bank’s required accommodation request process before your first day of work.
This communication provides information about certain Bank of America benefits. Receipt of this document does not automatically entitle you to benefits offered by Bank of America. Every effort has been made to ensure the accuracy of this communication. However, if there are discrepancies between this communication and the official plan documents, the plan documents will always govern. Bank of America retains the discretion to interpret the terms or language used in any of its communications according to the provisions contained in the plan documents. Bank of America also reserves the right to amend or terminate any benefit plan in its sole discretion at any time for any reason.