Vice President, Full-Stack Engineer
BNY Mellon4 days ago
Responsibilities
- Champion AI-augmented engineering workflows using coding assistants and Model Context Protocols.
- Design, develop, and implement LLM- and ML-powered cybersecurity applications and solutions.
- Build RAG- and AutoGen-based applications with prompt engineering and vector databases.
- Integrate ML models into production applications and data pipelines.
- Analyze model outputs to create meaningful insights and automate data-driven tasks.
- Embed RAG-enabled LLM features into products and applications.
- Lead technical workshops and knowledge-sharing sessions on AI-augmented development and cybersecurity ML use cases.
- Mentor team members in AI-driven engineering practices and promote continuous learning.
- Collaborate with engineering teams and the wider development community on adaptive development practices.
- Deliver scalable, resilient, high-volume, highly available cloud-native enterprise applications.
Requirements
- 5–6 years of hands-on experience with Python and Java.
- Hands-on knowledge of machine-learning concepts and integrating ML models into production applications and data pipelines.
- At least 1 year of experience building LLM and generative AI tools, including LangChain, RAG, fine-tuning, agentic AI, and prompt engineering.
- Proficiency developing machine-learning or LLM-based AI solutions using RAG or AutoGen.
- Experience with scripting, SQL, PostgreSQL, vector databases, cloud deployments, and container management.
- Strong foundation in computer science or systems engineering, including UNIX/Linux, networking, performance troubleshooting, and API-based system integration.
- Experience building scalable, resilient cloud-native solutions with cloud and container platforms.
- Experience with DevOps, configuration management tools, Git, Artifactory, CI/CD pipelines, and infrastructure-as-code tooling.
- Experience delivering high-volume, highly available enterprise applications in regulated environments.
- Strong verbal and written communication skills and the ability to work with technical and non-technical stakeholders.
Benefits
- The role is located in Pittsburgh, Pennsylvania, or Lake Mary, Florida.
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