What are the responsibilities and job description for the Senior Software Engineer Lead - Gen AI / ML position at JPMorgan Chase?
When you mentor and advise multiple technical teams and move financial technologies forward, it’s a big challenge with big impact. You were made for this.
As a Senior Manager of Software Engineering at JPMorganChase within the JPMorgan Wealth Management line of business, you serve in a leadership role by providing technical coaching and advisory for multiple technical teams, as well as anticipate the needs and potential dependencies of other functions within the firm. As an expert in your field, your insights influence budget and technical considerations to advance operational efficiencies and functionalities. You are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a hands-on senior technical lead, you are client and advisor-obsessed, have great appreciation and understanding of business needs. You leverage your extensive business and technical acumen, develop great partnerships, continue to stay abreast of the latest technologies, and design and build optimal solutions that deliver significant business value.
Job responsibilities
- Provide overall direction, oversight, and coaching for a team of entry-level to mid-level software engineers that work on basic to moderately complex tasks
- Be accountable for decisions that influence teams’ resources, budget, tactical operations, and the execution and implementation of processes and procedures
- Provide hands-on technical leadership (including coding) building high-quality, scalable enterprise scale solutions
- Mentor staff to elevate their level of competencies in software engineering
- Ensures successful collaboration across teams and stakeholders
- Identifies and mitigates issues to execute a book of work while escalating issues as necessary
- Provides input to leadership regarding budget, approach, and technical considerations to improve operational efficiencies and functionality for the team
- Creates a culture of diversity, opportunity, inclusion, and respect for team members and prioritizes diverse representation
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and 5 years applied experience. In addition, 2 years leading technologists to manage and solve complex technical items within your domain of expertise.
- Experience leading teams of technologists
- Hands-on experience with applied Generative AI solutions and Large Language Models (LLMs), such as OpenAI GPT, Google Gemini, Meta Llama, or Anthropic Claude.
- Demonstrated ability to design, implement, and deploy Gen AI-powered applications (e.g., chatbots, virtual assistants, document summarization, intelligent search).
- Proficiency in Python and/or Java; experience with cloud platforms (AWS, Azure, or GCP).
- Experience in big data technologies such as Apache Spark, Databricks, Hadoop, or Snowflake, as well as implementing real-time messaging solutions with tools like Kafka or AWS Kinesis.
- Proven track record of delivering complex technology solutions in an agile environment.
- Excellent problem-solving, communication, and stakeholder management skills.
- Experience mentoring junior engineers and collaborating with cross-functional teams
- Ability to guide and coach teams on approach to achieve goals aligned against a set of strategic initiatives
- Experience with hiring, developing, and recognizing talent
Preferred qualifications, capabilities, and skills
- Familiarity and experience with agentic frameworks (e.g., LangChain, AutoGen, CrewAI, Semantic Kernel)
- Familiarity with AI/ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
- Formal certifications
- Knowledge of data privacy, security, and compliance standards