Director of Software Engineer- AI/ML, AWS & Generative AI

If you are looking for a game-changing career, working for one of the world's leading financial institutions, you’ve come to the right place.

As Director of Software Engineering at JPMorgan Chase within Connected Commerce, you will provide expertise and engineering excellence as an integral part of an agile team to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable manner. You will leverage your advanced technical capabilities and collaborate with colleagues across the organization to promote best-in-class outcomes across various technologies, supporting one or more of the firm’s portfolios.

Job responsibilities

• Build AI enabled consumer centric and business use-case products using LLMs, RAG, and Agents

• Define and execute the technical roadmap for LLM-based agent development and AI marketplace capabilities

• Drive the transformation from traditional analytics to augmented agentic analytics, establishing new paradigms for human-AI collaboration

• Build robust agent orchestration systems that can handle complex multi-step financial workflows and decision-making processes

• Influences leaders and senior stakeholders across business, product, and technology teams

• Creates durable, reusable software frameworks that are leveraged across teams and functions.

• Drives the adoption of AI technologies to enhance software capabilities and improve user experience

• Develops innovative AI/ML solutions using Generative AI techniques and utilizing public cloud architecture and modern standards, specifically with AWS, Azure using both commercial and open source models

• Drive Firm wide initiatives by developing large-scale frameworks to accelerate the application of machine learning models across different areas of the business

• Champions the firm’s culture of diversity, opportunity, inclusion, and respect

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 10+ years applied experience. In addition, 5+ years of experience leading technologists to manage, anticipate and solve complex technical items within your domain of expertise

• Hands-on practical experience delivering system design, application development, testing, and operational stability

• Extensive experience in enterprise programming, with a strong understanding of technology and development principles.

• Proficiency in modern cloud platforms, particularly AWS, with experience in designing and managing scalable cloud-based solutions.

• Scalable AI Model Deployment –end-to-end ML model lifecycle management, optimizing training, inference, and monitoring for large-scale AI applications.
• Generative AI & LLM Infrastructure – knowledge of AI ecosystems for LLMs (GPT, OpenAI), optimizing data ingestion, model scaling, and performance tuning.
• Advanced knowledge of software application development and technical processes with considerable in-depth knowledge in one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, Generative AI etc.)

• Solid background in NLP, LLM and graph analytics and hands-on experience and solid understanding of machine learning and deep learning methods

• Extensive experience with machine learning and deep learning toolkits (e.g.: TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas)

• Ability to present and effectively communicate with Senior Leaders and Executives and understanding of the business

• Experience in Computer Science, Computer Engineering, Mathematics, or a related technical field

Preferred qualifications, capabilities, and skills

• Prior experience in the financial industry, with an understanding of regulatory requirements and industry-specific challenges.

• Ability to lead and collaborate with cross-functional teams, including product management, design, and quality assurance, to achieve project goals.

• Strong analytical and problem-solving skills, with a track record of developing innovative solutions to complex technical challenges.

• Previous experience at a fintech company, major bank, or financial services technology provider