JPMorganChase Logo

JPMorganChase

Executive Director - Solutions Engineering Lead

Sorry, this job was removed at 02:12 p.m. (EST) on Monday, Sep 08, 2025
Be an Early Applicant
Hybrid
New York, NY
Hybrid
New York, NY

Similar Jobs at JPMorganChase

14 Hours Ago
Hybrid
New York, NY, USA
Senior level
Senior level
Financial Services
Lead the recruitment lifecycle for Asset Management roles, ensuring a positive candidate experience and managing hiring processes, while also working on talent acquisition strategies.
Top Skills: AdobeExcelMicrosoft Powerpoint
14 Hours Ago
Hybrid
New York, NY, USA
Senior level
Senior level
Financial Services
Lead software engineering efforts by enhancing cloud architecture, collaborating with teams, and ensuring high-quality implementations. Provide technical guidance and advocate for best practices.
Top Skills: AWSJavaNoSQLPythonSQLTerraform
14 Hours Ago
Hybrid
New York, NY, USA
Senior level
Senior level
Financial Services
Lead data management strategy, define CDO vision, drive initiatives for AI readiness, analyze data, and engage senior leaders.
Top Skills: AIBig Data PlatformsData ArchitectureData ManagementExcelPowerPoint
Job Description
Ignite your passion for product innovation by leading customer-centric solutions and shaping the future with your strategic vision and influence. Harness your technical expertise to transform client challenges into solutions that elevate their journey.
As the Product Solutions Engineering Lead within the firm-wide CDAO Organization, you will build a team of Solutions Engineers to advise firm-wide teams in designing and integrating AI solutions within their application architecture.
Your role involves providing expert guidance and empowering clients to accelerate the delivery of AI value. With proficient communication and stakeholder management skills, you will cultivate excellent, collaborative relationships with Product, Engineering, and Architecture teams across JPMorgan Chase Lines of Business, Corporate Functions, and Internal Fusion Product and Engineering Teams to drive priority outcomes.
Job responsibilities
  • Lead and mentor a team of Solutions Engineer and data scientists, fostering innovation and collaboration.
  • Provide technical expertise empowering our internal clients to design and deploy Machine Learning, Gen AI, and Agentic systems.
  • Leverage your extensive ML experience to guide internal clients in their application development journey considering performance, evaluation, monitoring, resiliency and controls.
  • Develop a deep understanding of firmwide standards for Model and Software Development Lifecycles and Information Security Controls.
  • Anticipate risks associated with machine learning solutions and prediction/classification systems and strategize mitigation.
  • Foster a transparent cross-functional partnership with product management, engineering and client engagement and influence peers and team members to uphold these standards.
  • Lead presentations, whiteboard sessions, and technical workshops, effectively communicating the value, differentiators and capabilities of our solutions.
  • Communicate complex issues clearly and credibly to senior management and stakeholders.

Required qualifications, capabilities, and skills
  • 8+ years of experience or equivalent expertise delivering products, projects, or technology applications.
  • Proficiency in programming languages such as Python, R, or Java, with a strong emphasis on Python.
  • Experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, Scikit-learn, and industry leading GenAI models.
  • Strong skills in data manipulation and analysis using tools like Pandas, NumPy, and SQL.
  • Experience in developing, training, and deploying machine learning models, Gen AI models and including knowledge of model evaluation and optimization techniques.
  • Experience with cloud computing platforms (e.g., AWS, Azure, or Google Cloud Platform), containerization technologies (e.g., Docker and Kubernetes), and microservices design, implementation, and performance optimization.
  • Experience with big data technologies like Hadoop, Spark, or Apache Kafka for handling large datasets.
  • Proficiency in using version control systems like Git.
  • Experience in building and consuming APIs and working with microservices architecture.
  • Understanding DevOps and MLOps practices for automating and streamlining the machine learning lifecycle.
  • Strong foundation in mathematics and statistics, including knowledge of linear algebra, calculus, probability, and statistical methods.

About Us
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of 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 & Co. is an Equal Opportunity Employer, including Disability/Veterans
About the Team
Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.
HQ

JPMorganChase New York, New York, USA Office

270 Park Avenue, New York, NY, United States, 10017-2014

JPMorganChase New York, New York, USA Office

4 Metrotech Center, New York, NY, United States, 11201

What you need to know about the NYC Tech Scene

As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.

Key Facts About NYC Tech

  • Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
  • Key Industries: Artificial intelligence, Fintech
  • Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
  • Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account