Feature Lead - Technology, AI/ML
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! Job Description: This job is responsible for providing leadership, technical direction and oversight to a team delivering technology solutions. Key responsibilities of the job are to provide oversight of the design, implementation, and maintenance of complex computer programs, align technical solutions to business objectives, and ensure that coding practices/quality comply with software development standards.
Job expectations include conducting multiple software implementations and applying both depth and breadth in knowledge of several technical competencies. Position Summary: This is a Lead position in Bank of America’s Erica, Chat, and Voice Technology organization.
The Team builds next generation AI and Search platforms to enable virtual financial assistant / AI and search capabilities across multiple channels
Responsibilities
- Designs, develops and is accountable for feature delivery Applies enterprise standards for solution design, coding and quality Ensures solution meets product acceptance criteria with minimal technical debt Guides the team on work breakdown and execution Works with the Product Owner to ensure that product backlog/requirements are healthy, with clear acceptance criteria Plays a team lead role (as an individual contributor) and mentors the team Guides team members with skills and practices (planning and estimation, peer reviews
- other engineering practices) Guides the team on solution design, AI/ML model integration, work breakdown
- Evaluates and applies emerging AI technologies, frameworks, and models to solve business problems.
- Leads the deployment and optimization of AI workloads across CPU/GPU infrastructures and cloud platforms.
- Ensures AI solutions meet enterprise standards for security, governance, observability, performance, and responsible AI practices.
- Guides the team in implementing prompt engineering, retrieval strategies, model evaluation, and inference optimization techniques.
- Drives technical innovation and adoption of AI/ML best practices across the organization.
- Required Qualifications: 5+ years of hands-on software development experience using Java, Python, or related technologies.
- Strong software engineering skills with proficiency in Python and Java.
- Experience building AI/ML-powered applications using machine learning and Generative AI techniques.
- Knowledge of modern AI technologies including Transformers, Large Language Models (LLMs), Agentic AI, and Generative AI frameworks.
- Experience implementing Retrieval Augmented Generation (RAG) pipelines and related retrieval techniques.
- Experience deploying and optimizing AI applications on CPU/GPU infrastructure using technologies such as CUDA, vLLM, Triton, or equivalent inference platforms.
- Understanding of supervised, unsupervised, and reinforcement learning methodologies.
- Good understanding of source control systems such as Git and modern collaborative development practices.
- Good interpersonal communication skills for technical and business conversations Good analytical skills to break down requirements and solve complex problems Proven task management and leadership skills Experience building restful web services Desired Qualifications: Experience in performance tuning with good understanding of JVM internals Experience with NoSQL databases like Cassandra Experience in distributed caching frameworks like hazelcast, ignite, redis Experience in modern JVM languages like groovy, scala Experience with Full-stack development, especially including Angular Experience with Generative AI Spring MVC Experience with Container technologies, such as Kubernetes and Docker Experience working with NLP and Machine learning Prior open source contributions Background in mathematics or statistics Proven task management and leadership skills Experience working in agile teams Experience building chatbot, conversational AI
- virtual assistant platforms.
- Experience with Azure, AWS, or cloud-native AI platforms.
- Experience with vector databases, embeddings, semantic search, and AI retrieval systems.
- Experience with Elasticsearch, SOLR, OpenSearch, or related search technologies.
- Experience with MLOps, model deployment, monitoring, and AI observability.
- Experience with inference optimization frameworks, GPU acceleration, and distributed model serving.
- Experience with prompt engineering, model evaluation, and AI safety/governance practices
Skills
Automation Influence Result Orientation Stakeholder Management Technical Strategy Development Architecture Business Acumen Risk Management Solution Delivery Process Solution Design Agile Practices Analytical Thinking Collaboration Data Management DevOps Practices Bachelors or Master’s Degree in Computer Science or related field Shift: 1st shift (United States of America) Hours Per Week: 40