Lead design, develop, and deploy AI and data engineering solutions. Build scalable data pipelines, machine learning models, and Agentic AI systems using Java and AWS. Integrate and monitor autonomous agents, ensure production stability, troubleshoot incidents, apply secure coding and CI/CD practices, and collaborate with cross-functional teams to drive AI-driven product innovation.
Are you passionate about building technology that transforms the way businesses operate? Join us and lead the development of advanced AI and data engineering solutions within a collaborative, agile environment. At JPMorganChase, you’ll have the opportunity to shape impactful products, work with cutting-edge technologies, and grow your career alongside talented colleagues. We value your expertise and encourage you to bring your ideas to life as we redefine what’s possible in financial technology.
Job Summary:
As a Lead Software Engineer in the Commercial & Investment Bank, you will design and deliver trusted, market-leading technology products in a secure, stable, and scalable way. You will play a key role in developing AI and data engineering solutions, integrating autonomous agents, and supporting critical business objectives. You’ll collaborate with cross-functional teams, drive innovation, and ensure our systems remain reliable and future-ready.
Job Responsibilities:
- Design, develop, and implement AI and data engineering solutions, including data pipelines, machine learning models, analytics applications, and Agentic AI systems.
- Write secure, high-quality code in Java, applying best practices for AI and data engineering.
- Develop and maintain scalable data architectures and integrate AI models and autonomous agents into production systems.
- Utilize AWS services to build and deploy data and AI solutions.
- Troubleshoot and resolve technical issues related to data processing, model deployment, agent orchestration, and application stability.
- Learn and apply system processes, methodologies, and skills for secure, stable code and AI/data systems.
- Support production systems, including monitoring, incident response, and continuous improvement for AI and data applications.
- Design, develop, and integrate Agentic AI solutions into existing and new products.
- Collaborate with cross-functional teams to identify opportunities for Agentic AI applications.
- Implement and monitor autonomous AI agents, ensuring reliability, safety, and alignment with organizational goals.
- Stay current with advancements in Agentic AI, reinforcement learning, and related frameworks.
Required Qualifications, Capabilities, and Skills:
- Formal training or certification in software engineering concepts and recent applied experience in software development.
- Deep expertise in AI and data engineering, AWS services, Java, and databases.
- Proficiency in Java.
- Experience with infrastructure-as-code tools like Terraform and familiarity with Github Copilot.
- Hands-on experience in application development, testing, and operational stability for AI and data-driven solutions.
- Experience developing, debugging, and maintaining code in a large corporate environment.
- Ability to code in one or more languages and build data pipelines, machine learning models, analytics applications, or autonomous agents.
- Experience across the Software Development Life Cycle, including model training, deployment, and monitoring.
- Exposure to agile methodologies, CI/CD, application resiliency, and security best practices.
- Strong knowledge of software applications and technical processes within AI, machine learning, data engineering, and cloud disciplines.
- Hands-on experience or strong understanding of Agentic AI concepts.
- Experience building or integrating AI agents for data processing, workflow automation, or decision support.
Preferred Qualifications, Capabilities, and Skills:
- Familiarity with modern front-end technologies and integrating AI/data solutions with user interfaces.
- Exposure to advanced cloud technologies and managed AI/data services.
- Experience with big data frameworks and data orchestration tools.
- Familiarity with frameworks and libraries for Agentic AI.
Why Join Us?
At JPMorganChase, you’ll be part of a diverse, inclusive team that values your growth and empowers you to make a real impact. Join us to shape the future of financial technology and advance your career in a supportive, innovative environment.
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.
Similar Jobs
Artificial Intelligence • Cloud • Computer Vision • Hardware • Internet of Things • Software
Build and maintain Samsara's Cloud Governance Platform across AWS and GCP, focusing on cloud IAM guardrails, automated compliance controls, and software supply-chain security. Implement SAST/DAST and secure CI/CD patterns, design scalable, reliable systems, translate regulatory requirements into automated controls, collaborate cross-functionally, and own components end-to-end while mentoring teammates and shaping the roadmap.
Top Skills:
AWSCi/CdCloud IamDastGCPGoPythonSastTerraform
Cloud • Enterprise Web • Logistics • Software
As a Product Manager at Bringg, you will define product strategy, work with stakeholders, manage the roadmap, and integrate AI into logistics solutions.
Top Skills:
B2B SaasData ArchitectureMachine Learning
Financial Services
Lead end-to-end delivery of production-grade, LLM-powered microservices and APIs. Design, build, and operate AI solutions, infrastructure as code, multi-cloud deployments, data schemas, observability, resilience, and engineering standards while mentoring engineers and driving AI-assisted development practices.
Top Skills:
Agentic ArchitecturesAWSCi/CdGitGrpcInfrastructure As CodeKubernetesLarge Language Models (Llms)OpenapiProtobufPythonRestSQLTerraform
What you need to know about the Belfast Tech Scene
If asked to name the birthplace of the RMS Titanic, you might not say Belfast. Similarly, if asked to name Europe's leading destination for foreign direct investment in new software development, Belfast might not come to mind. Yet, both are true. The city has emerged as a tech powerhouse, recently ranked among the best in the U.K. for tech careers — especially for software developers. It also leads the U.K. with the highest percentage of software development jobs advertised.
