Feature Lead - Technology, AI/ML

Job Overview 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 Design, develop and be accountable for feature delivery, applying enterprise standards for solution design, coding, and quality. Ensure solutions meet product acceptance criteria with minimal technical debt. Guide the team on work breakdown and execution. Work with the Product Owner to keep the product backlog healthy, with clear acceptance criteria. Play a team‑lead role as an individual contributor and mentor the team. Guide team members with skills and practices, including planning and estimation, peer reviews, and other engineering practices. Guide the team on solution design, AI/ML model integration, work breakdown, and execution. Evaluate and apply emerging AI technologies, frameworks, and models to solve business problems. Lead the deployment and optimization of AI workloads across CPU/GPU infrastructures and cloud platforms. Ensure AI solutions meet enterprise standards for security, governance, observability, performance, and responsible AI practices. Guide the team in implementing prompt engineering, retrieval strategies, model evaluation, and inference optimization techniques. Drive 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, Agentic AI, and generative AI frameworks. Experience implementing Retrieval Augmented Generation 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 understanding of JVM internals. Experience with NoSQL databases like Cassandra. Experience in distributed caching frameworks such as 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 with NLP and machine learning. Prior open‑source contributions. Background in mathematics or statistics. Experience working in agile teams. Experience building chatbot, conversational AI, or 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 Education and Work Schedule Bachelor’s or Master’s Degree in Computer Science or related field. Shift: 1st shift (United States of America). Hours per week: 40. Privacy Statement: #J-18808-Ljbffr Bank of America