Vice President, AI-Augmented Full-Stack Engineer

BNY; Pittsburgh (Allegheny County); On-site; USD 130,000 - 180,000; Full time

Benefits offered by this job

401(k) plan

Medical, dental, vision, and life insurance

Paid time off

Job summary

BNY is seeking a Vice President, AI-Augmented Full-Stack Engineer in Pittsburgh. This role involves championing AI-augmented development practices and designing innovative cybersecurity solutions.

The ideal candidate has extensive experience with machine learning and programming languages like Python and Java. BNY offers competitive compensation and a range of benefits, fostering an environment of growth and opportunity.

Qualifications

• Hands-on experience with machine learning concepts and integration.
• 5–6 years of strong hands-on experience in Python, Java, service-oriented architecture.
• 1+ years of demonstrated experience building LLM and GenAI tools.
• Proficiency in scripting and SQL for data management.
• Strong foundations in UNIX/Linux and API integration.

Responsibilities

• Champion Engineering 2.0 practices with AI-augmented workflows.
• Design applications with LLM-based AI models for Cybersecurity.
• Collaborate cross-functionally to embed RAG-enabled LLM features.
• Mentor team members in AI-driven engineering practices.

Skills

Machine learning concepts

Python

Java

AI/ML concepts

API-based system integration

Cloud-native solutions

DevOps

Communication skills

Education

Bachelor's degree in Computer Science or related field

Tools

SQL

Postgres

Git

Artifactory

Job description

Overview

Vice President, AI-Augmented Full-Stack Engineer

At BNY, our culture enables employees’ growth and success. As a leading global financial services company, we influence a large portion of the world’s investible assets. Our teams harness cutting-edge AI and breakthrough technologies to collaborate with clients, driving transformative solutions that redefine industries and uplift communities worldwide.

Join us and be part of something extraordinary. This role is located in Pittsburgh, PA, or Lake Mary, FL.

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. Extract data accurately, automate tasks, and gain deeper insights from data.
• Collaborate cross-functionally to embed RAG-enabled LLM features into products and 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 a culture of 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 hands-on experience in Python, Java, service-oriented architecture, REST APIs; knowledge of AI/ML concepts and their 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 ML/LLM-based AI solutions (RAG or Autogen).
• Proficiency in scripting and SQL, Postgres for data management, vector databases for LLM Agents; strong understanding of SDLC and cloud deployments of containers.
• Strong foundations in computer science/systems engineering with hands-on experience in UNIX/Linux, networking, performance troubleshooting, and API-based system integration across complex environments.
• Proven ability to build scalable, resilient cloud-native solutions using modern cloud and container platforms, with experience in DevOps and configuration management tools (e.g., Git, 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 and Awards

• America’s Most Innovative Companies, Fortune, 2025
• World’s Most Admired Companies, Fortune 2025
• “Most Just Companies”, Just Capital and CNBC, 2025

EEO and Employment Information

BNY is an Equal Employment Opportunity/Affirmative Action Employer - Underrepresented racial and ethnic groups/females/individuals with disabilities/protected veterans. Base salary details and additional compensation are provided where applicable in the job posting.

BNY assesses market data to ensure a competitive compensation package for our employees. The expected base salary for this position when employment commences can be found in the Job Info section at the bottom of the posting. Base salary offered may vary depending on location, knowledge, skills, and experience. Eligible employees may enroll in a 401(k) plan and participate in Company-sponsored medical, dental, vision, and life insurance plans. Eligible employees may also receive other benefits and paid time off, depending on the position offered. This is an at-will employment position, with the company reserving the right to modify compensation and benefits as described by applicable plans.