Software Engineer III-Generative AI Platform Engineering
- Compensation
- Not disclosed
- Location
- Addison
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- 6+ years
- Category
- Ai engineering
- Posted
Skills
Must have
- Bachelor’s degree in computer science, Engineering, Data Science, or job related field required ..
- 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.
- Strong understanding of modern Generative AI and Data Science platform architectures, including compute-storage separation, virtual environments, containers, Jupyter, and VS Code-based development.
- Hands-on experience developing AI/ML and GenAI solutions using modern frameworks and tools.
- Experience building scalable REST APIs and microservices using FastAPI or similar frameworks.
- Experience developing applications leveraging vector stores, inference services, model-serving technologies, and AI orchestration frameworks.
- Strong Python programming skills with experience building production-grade applications and reusable libraries.
- Experience with AI/ML lifecycle management frameworks such as MLFlow, Kubeflow, model deployment, fine-tuning, and inference frameworks.
- Experience building applications with API Gateway integration, JWT-based authentication, and enterprise security controls.
- Understanding of metadata management, data lineage, governance principles, and semantic layer concepts.
- Experience working within large-scale engineering organizations utilizing Git-based development, CI/CD pipelines, automated testing, and collaborative development practices.
Nice to have
- Experience developing Retrieval-Augmented Generation (RAG) solutions.
- Experience building MCP servers, AI agents, and multi-agent orchestration frameworks.
- Knowledge of LLM integration, prompt engineering, model evaluation, and AI observability.
- Familiarity with enterprise AI governance, responsible AI, metadata, and data quality concepts.
- Exposure to enterprise-scale Generative AI platforms and self-service developer ecosystems.
Full description
Job Description:
At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. We do this by driving Responsible Growth and delivering for our clients, teammates, communities and shareholders every day.
Being a Great Place to Work and providing a culture of caring is core to how we drive Responsible Growth. We are intentional about fostering an inclusive workplace where every teammate has the opportunity to succeed, build a career and contribute to our shared success. This includes attracting and developing exceptional talent, recognizing and rewarding performance, and supporting our teammates’ physical, emotional, and financial wellness through affordable, competitive and flexible benefits.
We value the unique perspectives individuals bring from all backgrounds and career paths - whether shaped by military service, community college education, or a wide range of work and life experiences. These journeys foster resilience, leadership and innovation, strengthening our workforce and positively impact the communities we serve.
Bank of America is committed to an in-office culture that supports collaboration, engagement, and career development. Our approach includes clear in-office expectations, while providing an appropriate level of flexibility based on role-specific responsibilities and business needs.
At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us!
Position Summary :
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.
This job is responsible for developing and delivering complex requirements to accomplish business goals. Key responsibilities of the job include ensuring that software is developed to meet functional, non-functional and compliance requirements, and solutions are well designed with maintainability/ease of integration and testing built-in from the outset. Job expectations include a strong knowledge of development and testing practices common to the industry and design and architectural patterns.