Feature Lead - Technology, Ai/ml

Bank of America Bank of America · Banking · Plano, TX

Lead position in Bank of America’s Erica, Chat, and Voice Technology organization, building next-generation AI and Search platforms for virtual financial assistants. Responsibilities include feature delivery, AI/ML model integration, evaluating emerging AI technologies, deploying and optimizing AI workloads, ensuring responsible AI practices, and guiding teams on prompt engineering, retrieval, evaluation, and inference optimization.

What you'd actually do

  1. Designs, develops and is accountable for feature delivery
  2. Applies enterprise standards for solution design, coding and quality
  3. Ensures solution meets product acceptance criteria with minimal technical debt
  4. Guides the team on work breakdown and execution
  5. Works with the Product Owner to ensure that product backlog/requirements are healthy, with clear acceptance criteria

Skills

Required

  • 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

Nice to have

  • 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, 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 e

What the JD emphasized

  • AI/ML model integration
  • Emerging AI technologies
  • AI workloads deployment and optimization
  • Responsible AI practices
  • Prompt engineering, retrieval strategies, model evaluation, and inference optimization techniques
  • AI/ML best practices

Other signals

  • AI/ML model integration
  • Emerging AI technologies
  • AI workloads deployment and optimization
  • Responsible AI practices
  • Prompt engineering, retrieval strategies, model evaluation, and inference optimization
  • AI/ML best practices