Principal AI/ML Solutions Architect (Director)
Jersey City, NJ, United States
JPMorgan Chase & Co.
We look, first and foremost, for people who are passionate about solving business problems through informed strategic vision, creative innovation, and modern ML architecture & engineering practices, leveraging our purpose-built Machine Learning platforms and/or commercial ML platforms and related technologies. You will help accelerate AI/ML strategic programs across the firm, utilizing your strong and insightful technical and people skills.
As an experienced member of our AI/ML Solution Architecture Group, you'll have numerous opportunities to apply your depth of knowledge and expertise to all aspects of machine learning lifecycle by partnering with your many stakeholders on a daily basis and stay focused on common goals. We embrace a culture of experimentation and intensely strive for continuous improvement and learning. You’ll work in a collaborative, trusting, thought-provoking environment — one that encourages diversity of thought and creative solutions that are in the best interests of our customers globally.
Job Responsibility:
- Engage with business stakeholders to refine requirements, assist with framing business problems as machine learning problems, and help define success metrics
- Define appropriate data engineering processes to facilitate data preparation and feature engineering
- Collaborate with data scientists and data and ML engineers in selecting and evaluating ML models and algorithms using factors such as accuracy, scalability, interpretability, etc.
- Develop end-to-end AI/ML solutions in compliance with and leveraging firm’s policies, standards, and AI/ML governance processes
- Provide technical leadership throughout the entire machine learning lifecycle, in collaboration with architecture, security, risk, operations, and other partner organizations
- Design and lead proof-of-concepts, commercial product evaluations, and custom solutions
Required qualifications, capabilities, and skills
- Bachelor’s degree in computer science, data science, information systems, electrical engineering, or equivalent experience
- Advanced knowledge of architecture, design, and software engineering processes
- Deep understanding and hands-on experience with public cloud technologies, especially with AWS (Azure experience would be a plus), and DevOps processes and tools such as Containers, IaC, CI/CD, etc.
- Solid grasp of core algorithms, deep neural networks, and LLMs/SLMs with hands on experience with data/feature engineering, training, orchestration, model deployment/serving, model monitoring, and governance utilizing modern ML frameworks, libraries, and tools
- Strong working experience with big data, data lakes/data mesh/lake house architectures, and ML data engineering processes, tools & techniques
- Keep abreast of advancements in technology and industry trends in the AI/ML space to be able to leverage the right stack for any given problem
- Collaborate with product management, platform engineering, security, risk management, and other partner organizations in discovery and requirements definition
- Leverage agile practices in continuously improving our delivery quality and velocity
- Work in large, collaborative teams to achieve organizational goals
- Passionate about continuously building and refining our innovative culture
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set, and location. For those in eligible roles, we offer discretionary incentive compensation which may be awarded in recognition of firm performance and individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase is an Equal Opportunity Employer, including Disability/Veterans
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Architecture AWS Azure Banking Big Data CI/CD Computer Science DevOps Engineering Feature engineering LLMs Machine Learning ML models Model deployment Security
Perks/benefits: Career development Competitive pay Health care Wellness
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