AI EngineerArchitect ( Erica – Digital & Voice support )

Role : AI Engineer/Architect ( Erica Digital & Voice support )

1. Pennington NJ
2. Charlotte NC

Hybrid schedule requirement of a minimum of 3 days per week
Interviews: 2-3rounds /Video (One with HM One with Erica Digital Senior Architect One with Senior Voice Architect to validate the resource is well versed in Digital and Voice)

Position Summary
This role will provide central architectural support to translate business demand into production ready AI solutions establish enterprise standards and guardrails and reduce delivery risk across lines of business. Without this role AI initiatives risk fragmentation inconsistent security and governance increased operational cost and slower time to value.

Note : Erica is an AI-powered virtual financial assistant integrated into the Bank of America mobile banking app and online banking platform. It helps customers manage banking activities using:

• Voice commands
• Text/chat interactions
• Predictive financial insights
• Personalized recommendations

How Erica Works Erica uses:

• Artificial Intelligence (AI)
• Natural Language Processing (NLP)
• Predictive analytics
• Behavioral insights

The Architect will:
Enable faster safer AI adoption by defining reusable architectures and engineering patterns.
Ensure regulatory security and model risk requirements are embedded by design.
Reduce duplication and rework by aligning AI investments to a single enterprise roadmap.
Improve solution quality resiliency and cost efficiency through architectural oversight
This position is critical to scaling AI capabilities responsibly protecting the firm and maximizing return on investment from strategic AI platforms.

Primary Skill-Artificial Intelligence/Machine Learning

Required Qualifications
5 years of experience in technology architecture and solution design including 3 years of hands-on software engineering.
2 years of experience designing and delivering AI/LLM solutions in enterprise environments.
Hands-on experience deploying and operating solutions using Sierra AI and/or Decagon.
Strong background in platform architecture solution design and hybrid (on-prem and cloud) deployments.
Experience with AI orchestration retrieval-augmented generation (RAG) and evaluation frameworks.
Proficiency with containers Kubernetes/OpenShift CI/CD pipelines and infrastructure-as-code.
Strong communication skills with the ability to engage both technical and business stakeholders.
Demonstrated leadership collaboration and mentoring capabilities.
Experience with conversational AI contact center AI or enterprise automation
Experience designing and deploying IVR voice-driven or headless Agentic AI solutions including non-UI based conversational or event-driven systems
Experience integrating AI agents with telephony IVR platforms or voice infrastructure including call flows intent routing and backend service invocation.

Desired Qualifications
Experience in regulated industries such as financial services.
Knowledge of multiple LLM providers and model serving strategies.
Familiarity with headless AI agent architectures such as background automation system-to-system agents and asynchronous orchestration.
Understanding of voice and multi-modal AI architectures including speech-to-text text-to-speech intent management and conversational state handling.
Relevant cloud security or data certifications.
Familiarity with model risk management AI governance and safety testing.