Senior Architect – AI

Bank of America

. Define the architectural vision and solution supporting strategic outcomes for business products and services .

Posted 9/23/2026full-timePennington • New Jersey • United StatesSenior💰 $140,500 - $205,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in defining enterprise AI architecture strategies, including governance models and integration frameworks, while ensuring compliance and security in AI solutions. Proven ability to lead complex architecture designs and influence stakeholders in regulated environments.

Highest-signal resume keywords

Enterprise ArchitectureAI/ML Solution ArchitectureMicrosoft Copilot StudioAI GovernanceStakeholder Engagement

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI/ML ConceptsNLPGenAI DesignRAG SolutionsVector DatabasesModel Lifecycle ManagementAgent-Based ArchitecturesWorkflow AutomationIntegration ArchitecturesEvaluation Frameworks

Soft Skills

Strong Communication SkillsInfluencing Senior StakeholdersMentoringSimplifying Complex Concepts

Tools & Technologies

Azure AI ServicesAzure OpenAIAWS AI ServicesAmazon BedrockSageMakerMicrosoft AI EcosystemGitHub Copilot

Industry Keywords

Enterprise ArchitectureRegulated EnvironmentsSecurityGovernancePrivacyRisk ManagementCompliance

Tech Stack

Tools & technologies

AWSAzureDistributed Systems

About the role

Key responsibilities & impact

Define the architectural vision and solution supporting strategic outcomes for business products and services
Define the target operating environment, design for client resiliency, assist with solution design, and define non-functional requirements
Work with stakeholders and service providers aligned to strategic objectives
Evaluate the impact of strategic design decisions and contribute to the architecture roadmap
Define enterprise AI architecture strategy, standards, governance models, and decision frameworks
Establish reusable architecture patterns, reference architectures, templates, and guardrails for responsible AI adoption
Design and govern enterprise AI agents, multi-agent systems, orchestration models, workflow automation, and human-in-the-loop controls
Guide AI platform, model, and solution architecture decisions across Microsoft Copilot Studio, Azure AI, Orchestra, and emerging AI capabilities
Define patterns for RAG, vector databases, semantic retrieval, enterprise knowledge architectures, and AI-ready data access
Establish standards for model integration, evaluation, observability, lifecycle management, explainability, and trustworthiness
Define integration architectures across APIs, events, MCP, AI platforms, and agent-to-agent communication frameworks
Embed security, risk, compliance, identity, access management, data protection, and policy enforcement into AI architecture designs
Evaluate trade-offs across scalability, resilience, governance, security, performance, and business value
Lead enterprise AI adoption through stakeholder engagement, visual communication, architect enablement, mentoring, and long-term AI strategy development
Create solution intent and architectural vision for complex solutions and prioritize functional and non-functional requirements
Contribute to architecture roadmaps, best practices, and standardized templates
Facilitate solution-driven discussions, lead complex architecture designs, and develop proof of concepts
Educate team members on technology practices, standardization strategies, and best practices
Support technology-stack and product selection
Perform design and code reviews to ensure non-functional requirements are met

Requirements

What you’ll need

15+ years in enterprise architecture, solution architecture, software engineering, or distributed systems design
8+ years of experience architecting AI/ML, NLP, or advanced analytics solutions
2+ years of experience designing enterprise GenAI, RAG, and agentic AI solutions
Strong knowledge of AI/ML concepts including LLMs, RAG, embeddings, vector databases, evaluation frameworks, and agent-based architectures
Experience with enterprise AI platforms such as Microsoft Copilot Studio, Azure AI services, Azure OpenAI, or equivalent technologies
Familiarity with AI orchestration frameworks, workflow automation, and enterprise integration patterns
Understanding of security, governance, privacy, and risk considerations for AI solutions
Proven ability to influence senior stakeholders and drive architecture decisions in regulated environments
Strong communication skills with the ability to simplify complex AI concepts and drive alignment across technical and business audiences
Experience with agentic AI, multi-agent systems, MCP, and emerging AI interoperability standards
Experience with Microsoft AI ecosystem capabilities including Copilot Studio, Azure AI Foundry, Azure OpenAI, and GitHub Copilot
Experience with AWS AI services including Amazon Bedrock, SageMaker, and AI application architectures
Knowledge of knowledge graphs, semantic search, vector databases, and enterprise retrieval architectures
Experience defining AI governance, model lifecycle management, and responsible AI practices
Experience operating in large-scale, highly regulated enterprise environments
Bachelor’s degree or equivalent work experience
Ability to work 1st shift in the United States of America

Benefits

Comp & perks

Affordable, competitive and flexible benefits
Support for physical, emotional, and financial wellness
Opportunities to learn, grow, and build a career
Annual discretionary incentive plan eligibility
Benefits eligibility
Paid time off
Resources and support for employees