Senior Architect – Generative AI & Agentic Workflows

Job Title: Senior Architect – Generative AI & Agentic Workflows

Experience: 15+ Years

Location: Hybrid
- Iselin NJ/Johnston RI/Boston MA/ Pheonix AZ

Job Description:

Position Summary- Neighbourhood Architect (Reimagine the Bank Program)

As part of the Reimagine the Bank strategic transformation program, we are seeking a Senior Architect with a strong software engineering foundation, Machine Learning, AI (Gen AI/Agentic) to lead architecture and governance for the AI-Powered Banker workstream within Commercial Banking.

This role is ideal for an architect who began their career in hands-on software or data engineering, has experience building and scaling complex platforms, and now drives Neighborhood-level architecture, governance, and roadmaps. The Architect will define how data-heavy, ML- and AI-driven solutions—including Generative AI, LLM-based applications, and agentic technologies—are designed, governed, and scaled safely across a regulated Financial Institution.

Primary Responsibilities

• Own the architecture vision for the AI-Powered Banker workstream, grounded in practical software and data engineering principles
• Establish and enforce architecture governance, design standards, and guardrails appropriate for a regulated Financial Institution
• Review solution designs and ensure alignment with target-state and transition architectures
• Act as a technical authority who can challenge designs based on engineering feasibility, scalability, and operability

Software-Led AI & Platform Architecture

• Lead architecture for data-intensive, AI-enabled platforms, including:
• Generative AI and LLM-based applications
• Agentic and autonomous AI workflows
• AI-assisted banker tools and decision-support systems
• Guide teams on building, scaling, and operating LLM-based applications, including:
• Model orchestration and service integration
• Prompt design, versioning, and lifecycle management
• Performance, reliability, latency, and cost optimization
• Define evaluation engineering approaches for AI systems, including accuracy, hallucination management, explainability, and monitoring using custom metrics

Road mapping & Transformation Enablement

• Develop and maintain multi-year architecture roadmaps aligned to Reimagine the Bank outcomes
• Translate engineering realities into pragmatic migration strategies from legacy platforms to AI-enabled architectures
• Partner closely with Product, Engineering, Data, and Platform teams to align architecture with delivery execution

Risk, Compliance & Responsible AI

• Human-in-the-loop controls
• Auditability and traceability
• Data privacy and security
• Explainable AI
• Partner with Risk, Compliance, Security, and Model Governance teams to ensure AI solutions meet enterprise and regulatory expectations without slowing innovation

Required Skills & Experience

• 12–18+ years of experience with a strong foundation in software engineering, progressing into solution and enterprise architecture
• Proven experience designing and scaling enterprise-grade software platforms in a Financial Institution or highly regulated environment
• MCP/A2A Protocol implementation
• Strong hands-on background with:
• Distributed systems and APIs
• Demonstrated experience leading ML and AI initiatives, including Generative AI and LLM-based applications
• Experience establishing and operating architecture governance in regulated environments
• Ability to communicate deeply technical concepts to engineering, business, and risk stakeholders

Preferred Skills

• Experience building or overseeing LLM-powered applications end-to-end (design, scale, evaluation, and monitoring)
• Familiarity with agentic AI patterns and autonomous workflow orchestration
• Exposure to evaluation engineering, model monitoring, and AI lifecycle tooling
• Cloud platform experience (AWS / Azure)
• Prior experience supporting enterprise-wide AI or digital transformation programs in banking
• Consulting or platform modernization experience

Nice to Have

• Experience architecting or integrating solutions on Salesforce platforms (Sales Cloud, Service Cloud, or Financial Services Cloud) COTS Products, and other SaaS platforms within Commercial Banking or Financial Services environments
• Exposure to embedding AI-driven insights and analytics…