Vice President, AI-Augmented Full-Stack Engineer

BNY Mellon; Pittsburgh (Allegheny County); On-site; USD 140,000 - 170,000; Full time

Benefits offered by this job

Generous paid leave

Paid volunteer time

Health and financial support programs

Job summary

BNY Mellon is hiring a Vice President, AI-Augmented Full-Stack Engineer to join their Cyber Detection and Response Team in Pittsburgh, PA or Lake Mary, FL. This role focuses on embedding AI-driven workflows into the engineering process to enhance software delivery and cybersecurity solutions.

The ideal candidate will have strong experience with machine learning, programming in Python and Java, as well as designing scalable solutions. BNY Mellon offers competitive compensation and a commitment to diverse, equitable employment.

Qualifications

• 5-6 years of experience in Python, Java, and service-oriented architecture.
• 1+ years of experience with LLM and GenAI tools.
• Hands-on expertise in UNIX/Linux and performance troubleshooting.

Responsibilities

• Embed AI-Augmented development workflows to improve team velocity and quality.
• Develop applications using LLM-based models for cybersecurity.
• Lead workshops on AI-driven engineering practices.

Skills

Machine learning integration

Python programming

Java programming

Service-oriented architecture

AI/ML concepts

LLM and GenAI tools

Scripting and SQL

PostgreSQL data management

UNIX/Linux systems

Cloud-native solutions

CI/CD pipelines

Effective communication

Tools

Windsurf

Claude Code

Git

Artifactory

Job description

Vice President, AI-Augmented Full-Stack Engineer

Location: Pittsburgh, PA or Lake Mary, FL. Position within Cyber Detection and Response Team.

Responsibilities

• Champion Engineering 2.0 practices by embedding AI‑augmented development workflows across the team, driving measurable gains in velocity, quality, and innovation.
• Leverage AI coding assistants (Windsurf, Claude Code) and Model Context Protocols (MCPs) to accelerate software delivery, automate repetitive tasks, and elevate engineering standards.
• Design and develop applications using LLM‑based AI models with RAG/Autogen and prompt engineering for cybersecurity.
• Architect, develop, and implement AI/ML‑powered cybersecurity solutions that integrate with internal and third‑party applications.
• Analyze model output to define, create, and maintain meaningful insights to support advanced analytics; unlock the full potential of AI to accurately extract data, automate tasks, and gain deeper insights.
• Collaborate cross‑functionally to embed RAG‑enabled LLM features into products/applications.
• Lead technical workshops and knowledge‑sharing sessions on AI‑augmented development and machine‑learning integration for cybersecurity use cases.
• Mentor and uplift team members in adopting AI‑driven engineering practices, fostering continuous learning and experimentation.
• Collaborate with the team and wider development community to cultivate Agile mindsets and practices, driving effective and adaptive workflows.

Qualifications

• Hands‑on experience with machine learning concepts and the ability to integrate ML models into production applications and data pipelines.
• 5‑6 years of strong experience in Python, Java programming, service‑oriented architecture, REST API, and knowledge of AI/ML concepts and applications.
• 1+ years of demonstrated experience building LLM and GenAI tools, including LangChain, RAG, fine‑tuning, agentic AI, prompt engineering, and vector databases.
• Proficiency in developing machine‑learning or LLM‑based AI solutions (RAG or Autogen).
• Proficiency in scripting and SQL, PostgreSQL for data management, vector databases for LLM agents, strong understanding of SDLC lifecycle and managing cloud deployments of containers.
• Strong technical foundation in computer science/systems engineering, with deep hands‑on expertise in UNIX/Linux, networking, performance troubleshooting, and system integration through APIs across complex environments.
• Proven ability to build scalable, resilient cloud‑native solutions using modern cloud and container platforms, supported by experience in DevOps and configuration management tools such as Git and Artifactory.
• Experience delivering high‑volume, highly available enterprise applications in regulated environments.
• Experience with modern CI/CD pipelines and infrastructure‑as‑code tooling.
• Ability to communicate effectively with both technical and non‑technical stakeholders.
• Excellent verbal and written communication skills.

Benefits

BNY offers highly competitive compensation, benefits, and well‑being programs rooted in a strong culture of excellence and a pay‑for‑performance philosophy. We provide access to flexible global resources and tools for your life's journey, including generous paid leaves, paid volunteer time, and support for your health and financial goals.

EEO Statement

BNY is an Equal Employment Opportunity/Affirmative Action Employer—underrepresented racial and ethnic groups, women, individuals with disabilities, and protected veterans.