We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.
As an Applied AI ML Lead at JPMorgan Chase within the Commercial and Investment Bank's Engineering and Architecture Team, youare 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 core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives.
Job Responsibilities
- Lead a local team of software engineers and applied AI/ML practitioners, driving accountability and engagement within a global organization.
- Mentor and guide team members, fostering an inclusive culture with a growth mindset and supporting career development.
- Collaborate with product and business teams to set technical vision and execute strategic roadmaps for AI-driven software solutions.
- Translate business requirements into robust software and AI/ML specifications, define milestones, and ensure timely delivery using Agile methodologies.
- Architect, design, and develop secure, high-quality production software systems using Java or Python, integrating AI/ML techniques such as LLMs, Generative AI, and coding assistants.
- Review, debug, and optimize code written by others, ensuring operational stability and scalability.
- Identify opportunities to automate and remediate recurring issues, improving overall system reliability.
- Design experiments, implement algorithms, validate results, and productionize performant, scalable, and trustworthy AI/ML solutions.
- Work closely with cross-functional stakeholders to define goals, maintain alignment, and drive evaluation of architectural designs and technical solutions.
- Lead evaluation sessions with external vendors, startups, and internal teams to assess technical credentials and applicability.
- Contribute to and lead communities of practice across Software Engineering and AI/ML, driving awareness and adoption of new technologies.
Required qualifications, capabilities, and skills
- Formal training or certification in software engineering and/or applied AI/ML concepts, with 5+ years of hands-on experience in software development and AI/ML integration.
- Proven track record of managing and mentoring software engineering or AI/ML teams, with experience as a hands-on practitioner delivering production-grade solutions.
- Advanced proficiency in Java or Python for software system development strong grasp of software engineering best practices, system design, application development, testing, and operational stability.
- Experience integrating AI/ML techniques into software systems, including familiarity with LLMs, Generative AI, NLP, and coding assistants.
- Good understanding of data structures, algorithms, and practical machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-Learn).
- Proficiency in automation, continuous delivery (CI/CD), and cloud-native development (preferably AWS).
- Strong technical judgment, ability to anticipate bottlenecks, escalate effectively, and balance business needs with technical constraints.
- Excellent communication, negotiation, and leadership skills ability to inspire collaboration among technical and non-technical teams.
Preferred qualifications, capabilities, and skills
- 14+ years (BE/B. Tech/BS), 8+ years (ME/M. Tech/MS), or 5+ years (PhD) of relevant experience in Computer Science, Information Systems, or related fields.
- Experience working at code level with advanced AI/ML business applications (e.g., LLMs, Generative AI, NLP).
- AWS Certifications (Solution Architect Associate or Professional) are advantageous.
- Familiarity with agentic workflows and frameworks (e.g., LangChain, LangGraph, Auto-GPT).
