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 job is responsible for defining an architectural vision and solution aligned to the enterprise architecture strategy, technology, and platform choices. Key responsibilities include describing the solution intent/associated operating environment, evaluating system impacts, determining the primary systems/sub-systems and their interfaces, and assisting with end-to-end solution design. Job expectations include defining non-functional requirements/architectural runway to support new epics/features and ensuring solutions are fit for purpose by working with stakeholders and service providers. The candidate will lead the design and delivery of scalable, enterprise-grade solutions that leverage big data frameworks, cloud-native services, and advanced AI/GenAI capabilities. He/She will architect and engineer robust data pipelines using technologies such as Spark and Hadoop, integrate ETL tools, and utilize AWS/Azure services to support high-performance data processing and analytics. The candidate will design and implement AI and GenAI solutions with hands-on experience in integrating Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) pipelines, and optimizing model performance. His/Her work will align with strategic business goals and enterprise architecture standards through the development of Architecture Points of View (PoVs) and execution of Proofs of Concept (PoCs) to validate key decisions. He/She will deliver interactive demos to cross-functional teams, explore alternative architecture patterns to meet scalability and integration needs, and conduct comparative analyses to guide decision-making across cloud-native, AI/GenAI, and data platform components. The candidate will also design and engineer semantic layers and data products using graph technologies and metadata-driven architectures, and lead platform engineering efforts to enable reusable, secure, and performant capabilities. Collaboration with cross-functional teams will be essential to ensure end-to-end solution delivery that is aligned with enterprise standards and drives innovation across the organization.
Responsibilities:
Required Qualifications:
Skills:
Shift:
1st shift (United States of America)Hours Per Week:
40