Apply

Ready to go for it?

AI Apply speeds things up—apply directly if you prefer.

FREE ACCESS
5,000–10,000 jobs/day
Scoutfield Logo

See all jobs on Scoutfield

Search thousands of fresh jobs every day.

Discover
  • Fresh listings
  • Fast filters
  • No subscription required
Create a free account and start exploring right away.
Bank of America

Senior Architect

Bank of America

. Define and govern enterprise architecture strategy, standards, and decision frameworks across AI, data, cloud, and integration domains .

Posted 9/17/2026full-timePennington • New Jersey • United StatesSenior💰 $140,500 - $205,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates extensive expertise in enterprise architecture, particularly in AI, data, cloud, and integration domains, with a strong focus on security, compliance, and architectural governance. Proven ability to influence stakeholders and drive alignment across organizations while leading complex architecture designs and modernization strategies.

Highest-signal resume keywords
Enterprise ArchitectureAI/ML KnowledgeCloud Platform ExperienceIntegration PatternsSecurity Controls Understanding

ATS Keywords

Tailor your resume
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
AI/MLLarge-Scale Solution DesignArchitecture GovernanceData Protection ComplianceArchitecture RoadmapsDesign and Code ReviewsCloud Modernization StrategiesIntegration PlatformsContainer OrchestrationDevOps Practices
Soft Skills
Strong Communication SkillsMentoringCross-Organizational Alignment
Tools & Technologies
AzureKafkaDockerKubernetesOpenShiftSnowflakeDatabricksTerraformHelmAWS AI Services
Industry Keywords
Security ControlsIAMOAuth2Regulated EnvironmentsHybrid CloudEnterprise ModernizationAI GatewaysMulti-Platform Orchestration

Tech Stack

Tools & technologies
AWSAzureCloudDockerKafkaKubernetesOpenShiftTerraform

About the role

Key responsibilities & impact
  • Define and govern enterprise architecture strategy, standards, and decision frameworks across AI, data, cloud, and integration domains
  • Drive consistency through reusable patterns, reference architectures, best practices, and governance processes
  • Ensure solutions align with security, data protection, compliance, and enterprise control requirements
  • Lead AI and data architecture for LLMs, RAG, vector databases, enterprise agents, knowledge retrieval, and workflow automation
  • Establish integration patterns across APIs, events, MCP, gateways, and platform orchestration capabilities
  • Embed secure-by-design principles, including identity management, data flow controls, and resilient architecture practices
  • Evaluate architectural trade-offs across scalability, resilience, security, performance, cost, and business value
  • Guide cloud, hybrid, and on-prem modernization strategies, including platform selection, workload placement, simplification, and standardization
  • Influence and align architecture decisions across CIO organizations and communicate complex concepts to executive and engineering audiences
  • Drive cross-organizational alignment, architectural rigor, reuse, mentoring, and connection of technology decisions to business outcomes and risk reduction
  • Create solution intent and architectural vision for complex solutions
  • Prioritize functional and non-functional requirements into a technology backlog
  • Contribute to architecture roadmaps and standardized templates
  • Clarify architecture, assist with system design, and resolve architectural impediments
  • Facilitate solution discussions, lead complex architecture designs, and develop proof of concepts
  • Educate team members on technology practices and standardization strategies
  • Support technology-stack and product selection
  • Perform design and code reviews for security, performance, maintainability, scalability, usability, and reliability

Requirements

What you’ll need
  • 15+ years in enterprise architecture or large-scale solution design
  • Experience across AI, data, cloud, and integration domains
  • Strong knowledge of AI/ML, including LLMs, RAG, vector databases, and agent patterns
  • Experience with cloud platforms; Azure preferred
  • Familiarity with APIs, event-driven systems, and integration platforms such as Kafka and API gateways
  • Experience with containers and orchestration, including Docker and Kubernetes/OpenShift
  • Exposure to data platforms such as Snowflake and Databricks
  • Understanding of security controls, including IAM, OAuth2, and secrets management
  • Familiarity with DevOps, CI/CD, and IaC using Terraform/Helm
  • Proven ability to drive decisions and influence senior stakeholders in regulated environments
  • Strong communication skills
  • Desired: experience leading AI/GenAI architecture and agent-based systems
  • Desired: familiarity with Microsoft AI ecosystem, including Copilot Studio and Azure AI
  • Desired: knowledge of MCP, AI gateways, and multi-platform orchestration
  • Desired: experience with AWS AI services, including Bedrock and SageMaker
  • Desired: experience in hybrid cloud environments and enterprise modernization

Benefits

Comp & perks
  • Annual discretionary incentive plan eligibility
  • Benefits eligibility
  • Paid time off
  • Resources and support for employee wellness and impact