Expert GenAI Platform Engineer

Roles Overview:

• This is a hands-on software engineering role focused on building enterprise-grade Generative AI, Data Science, and AI Platform capabilities within Bank of America's strategic AI ecosystem. The engineer will work as an individual contributor responsible for designing, developing, and delivering reusable GenAI platform services, frameworks, APIs, and application components that support AI model development, deployment, inferencing, automation, and governance.
• The successful candidate will partner with senior engineers, architects, product owners, and data scientists to develop scalable, secure, and resilient solutions leveraging modern AI frameworks, cloud-native technologies, distributed computing platforms, and enterprise engineering practices.
• This role is ideal for an engineer passionate about Generative AI, application development, platform engineering, automation, and building reusable capabilities that accelerate enterprise AI adoption.

Job Requirements :

• Develop and enhance enterprise Generative AI platform capabilities, reusable services, and self-service tools.
• Design and build AI-powered applications, agentic workflows, RAG solutions, and MCP-enabled services.
• Develop scalable APIs, microservices, and platform components supporting AI/ML lifecycle management.
• Build and maintain frameworks supporting model development, fine-tuning, deployment, inferencing, monitoring, and observability.
• Implement event-driven and streaming solutions leveraging technologies such as Kafka and distributed processing platforms.
• Contribute to CI/CD pipelines, automation frameworks, testing strategies, and DevOps practices.
• Collaborate with platform engineers, architects, data scientists, and business stakeholders to deliver new capabilities.
• Participate in design discussions, code reviews, sprint planning, story refinement, and estimation activities.
• Ensure solutions meet enterprise standards for security, scalability, governance, resiliency, and operational excellence.
• Support platform observability, monitoring, and performance optimization initiatives.
• Continuously evaluate emerging AI technologies and contribute innovative solutions to enhance platform capabilities.

Required Qualifications:

• Bachelor’s or master’s degree in computer science, Engineering, Data Science, or a related technical discipline.
• 6+ years of software engineering experience with strong expertise in Python-based application development.
• Experience developing AI/ML, Data Science, Data Engineering, or analytics applications in enterprise environments.