Vice President, AI-Augmented Full-Stack Engineer

AI-Augmented Full-Stack Engineer

We're seeking a future team member for the role of AI-Augmented Full-Stack Engineer to join our Cyber Detection and Response Team. This role is located in Pittsburgh, PA, or Lake Mary, FL.

In this role, you'll make an impact in the following ways:

• 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, develop application 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 the model output to define, create, and maintain meaningful insights to support advanced analytics. Unlock the full potential of AI to accurate extract data, automate tasks and gain deeper insights from data
• Collaborate cross-functionally to embed RAG-enabled LLM's features into product/application.
• Lead technical workshops and knowledge-sharing sessions on AI-augmented development, 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

To be successful in this role, we're seeking the following:

• Hands-on experience with machine learning concepts and the ability to integrate ML models into production applications and data pipelines.
• 5-6 yrs of strong hands-on experience in Python, Java programming, service-oriented architecture, REST API and Knowledge of AI/ML concepts and it's applications.
• 1+ years demonstrated experience building LLM and GenAI tools, including LangChain, RAG, fine-tuning, Agentic AI, prompt engineering and vector databases.
• Proficient in developing Machine learning or LLM based AI solutions (RAG or Autogen)
• Proficient in scripting and SQL, Postgres 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

About the Team

At BNY, our culture speaks for itself, check out the latest BNY news at BNY Newsroom & BNY LinkedIn

Here's a few of our recent awards:

• America's Most Innovative Companies, Fortune, 2025
• World's Most Admired Companies, Fortune 2025
• "Most Just Companies", Just Capital and CNBC, 2025

Our Benefits and Rewards:

BNY offers highly competitive compensation, benefits, and wellbeing programs rooted in a strong culture of excellence and our pay-for-performance philosophy. We provide access to flexible global resources and tools for your life's journey. Focus on your health, foster your personal resilience, and reach your financial goals as a valued member of our team, along with generous paid leaves, including paid volunteer time, that can support you and your family through moments that matter.

BNY is an Equal Employment Opportunity/Affirmative Action Employer - Underrepresented racial and ethnic groups/Females/Individuals with Disabilities/Protected Veterans.

Base salary offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. Base salary is only part of the total rewards package, which may include eligibility for an annual discretionary incentive award. Subject to the terms and conditions of the applicable plans then in effect, eligible employees may enroll in a 401(k) plan as well as participate in Company-sponsored medical, dental, vision, and basic life insurance plans for the employee and the employee's eligible dependents. Eligible employees also may receive other benefits (including various paid time off benefits, such as vacation and sick time), dependent on the position offered. Details of participation in these benefit plans will be provided if an employee receives an offer of employment.

If hired, the employee will be in an "at will" position and the Company reserves the right to modify base salary (as well as any other discretionary payments or compensation programs) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors.

Job Info

• Job Identification 76793
• Job Category Information Security
• Locations 500 Ross Street, Pittsburgh, PA, 15262, US 300 Colonial Center Parkway, Lake Mary, FL, 32746, US
• Job Schedule Full time
• Job Shift Day
• Base Salary Min 83000
• Base Salary Max 178000