Are you ready to shape the future of artificial intelligence in a dynamic, global organization? As an AI Transformation Engineering Lead in JP Morgan's Asset & Wealth Management, you will drive the strategy and execution of cutting-edge AI initiatives, collaborating with talented teams to solve complex business challenges. As a Principal Software Engineer, this is your opportunity to make a significant impact, foster innovation, and help build a data-driven culture. Join us and be at the forefront of AI advancement, where your expertise will empower teams and transform the way we work. Push the boundaries of what’s possible with us.

Job Summary

As an AI Transformation Engineering Lead in our Technology & Data team, you will architect and execute our enterprise-wide AI strategy, translating business needs into scalable, AI-driven solutions. You will collaborate with executive leadership and cross-functional teams to deliver impactful results, foster a culture of innovation, and ensure best practices in AI governance. Your leadership will be key in driving change, mentoring teams, and positioning us as a leader in AI adoption.

Job Responsibilities

Develop and implement a comprehensive AI transformation roadmap aligned with organizational goals. Architect, design, and deploy scalable, secure AI/ML infrastructures and application stacks. Build prototypes, optimize data pipelines, and develop APIs/microservices for AI integration. Collaborate with senior stakeholders, data scientists, product managers, and engineering teams to define requirements and ensure seamless AI integration. Evaluate and implement emerging AI tools and methodologies to maintain technological leadership. Establish and enforce standards for data quality, model governance, security, privacy, and ethical AI practices. Champion change management and develop learning paths to upskill teams in AI literacy. Define and track KPIs to measure the success and ROI of AI initiatives, reporting to executive leadership. Lead and mentor cross-functional teams to foster a culture of innovation and continuous improvement.

Required Qualifications, Capabilities, and Skills

Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or related technical field. Minimum of 15 years of experience in software development and technical leadership roles. Proven hands-on experience developing and deploying AI/ML solutions in production environments. Demonstrated experience leading large-scale transformation projects and influencing senior stakeholders. Proficiency in programming languages such as Python, Java, or C++. Experience with AI/ML frameworks (e.g., TensorFlow, PyTorch, Agent Development). Deep understanding of machine learning, deep learning, NLP, computer vision, and predictive analytics. Experience with cloud platforms (AWS, Azure, GCP), MLOps pipelines, and distributed systems. Exceptional communication skills, able to articulate complex technical concepts to non-technical audiences. Strong analytical, problem-solving, and strategic thinking abilities. Demonstrated ability to lead and mentor cross-functional teams in a fast-paced environment.

Preferred Qualifications, Capabilities, and Skills

Master’s or Ph.D. in a relevant technical field. Experience with LLMs, vector databases, and advanced AI architectures. Prior experience in enterprise AI transformation or digital modernization initiatives. Familiarity with data governance, security, and ethical AI frameworks. Experience with agile methodologies and change management. Track record of driving AI adoption and upskilling teams. Published research or patents in AI/ML fields.