Senior Director of Software Engineering - Head of Operations - Surveillance Technology

Testing Site - JPMC; Jersey City (NJ); On-site; USD 250,000 - 350,000; Full time

Job summary

JPMorgan Chase in Jersey City seeks a Senior Director of Software Engineering to lead cloud and AI programs. You will mentor cross-functional teams, design scalable cloud architectures, and drive agentic AI adoption. This role shapes technology strategy, oversees budgets and governance across the firm.

Lead major cloud initiatives, ensure regulatory compliance, and communicate complex concepts to stakeholders. Strong leadership in a fast-evolving financial tech landscape is essential.

Qualifications

• Formal training or certification in software engineering with 10+ years applied experience.
• 10+ years in technology leadership with cloud and AI focus.
• Expertise in cloud platforms (AWS, Azure, Google Cloud) and agentic AI frameworks.
• Experience deploying and operating AI workloads (LLMs, agents, RAG, model serving).
• Background in agent orchestration frameworks, policy/guardrail design, and AI safety practices.
• Experience with hiring, developing, and recognizing talent.
• Knowledge of multi-cloud patterns, cost optimization, and performance engineering for AI systems.

Responsibilities

• Develop and execute strategic vision for cloud infrastructure and agentic AI solutions aligned with business objectives.
• Lead, mentor, and inspire cross-functional teams, fostering a culture of innovation, collaboration, and continuous improvement.
• Oversee the design, implementation, and optimization of scalable, secure, and cost-effective cloud architectures. Manage budgets, resources, and vendor relationships to maximize value and minimize risk.
• Drive the adoption and integration of agentic AI technologies to enhance business processes, customer experiences, and operational efficiency.
• Collaborate with executive leadership to identify opportunities for leveraging cloud and AI to achieve competitive advantage.
• Ensure compliance with industry standards, security policies, and regulatory requirements.
• Communicate complex technical concepts clearly and effectively to both technical and non-technical stakeholders.
• Prepare and deliver executive-level presentations, reports, and proposals. While staying abreast of emerging trends in cloud computing, AI, and related technologies to inform strategic decisions.

Skills

Cloud leadership

AI leadership

Team mentoring

Vendor management

Multi-cloud

Cost optimization

Education

CS/CE/Math degree

Tools

AWS

Azure

Google Cloud

Agentic AI frameworks

Job description

Your opportunity to make a real impact and shape the future of financial services is waiting for you. Let’s push the boundaries of what's possible together.

As a Senior Director of Software Engineering at JPMorgan Chase within the Corporate Technology team, you lead multiple technical areas, manage the activities of multiple departments, and collaborate across technical domains. Your expertise is applied cross-functionally to drive the adoption and implementation of technical methods within various teams and aid the firm in remaining at the forefront of industry trends, best practices, and technological advances.

The ideal candidate will possess deep expertise in cloud technologies and agentic artificial intelligence, demonstrate exceptional verbal and written communication skills, and have a proven track record of managing high-performing teams. This role is pivotal in shaping our technology strategy, driving innovation, and ensuring operational excellence across our organization specifically with the vision for cloud infrastructure and Agentic AI solutions to reduce developer toil, with the goal of decreasing run-the-bank activities to drive innovation.

Job responsibilities

• Develop and execute strategic vision for cloud infrastructure and agentic AI solutions aligned with business objectives.
• Lead, mentor, and inspire cross-functional teams, fostering a culture of innovation, collaboration, and continuous improvement.
• Oversee the design, implementation, and optimization of scalable, secure, and cost-effective cloud architectures. Manage budgets, resources, and vendor relationships to maximize value and minimize risk.
• Drive the adoption and integration of agentic AI technologies to enhance business processes, customer experiences, and operational efficiency.
• Collaborate with executive leadership to identify opportunities for leveraging cloud and AI to achieve competitive advantage.
• Ensure compliance with industry standards, security policies, and regulatory requirements.
• Communicate complex technical concepts clearly and effectively to both technical and non-technical stakeholders.
• Prepare and deliver executive-level presentations, reports, and proposals. While staying abreast of emerging trends in cloud computing, AI, and related technologies to inform strategic decisions.

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 and more broadly across the organization.
• 10+ years of progressive experience in technology leadership roles, with a focus on cloud and AI.
• Demonstrated expertise in cloud platforms (e.g., AWS, Azure, Google Cloud) and agentic AI frameworks
• Practical experience deploying and operating AI workloads (TLM Automation, LLMs, agents, RAG, model serving, evaluation, monitoring)
• Background in agent orchestration frameworks, policy/guardrail design, and AI safety practices
• Experience with hiring, developing, and recognizing talent
• Knowledge of multi-cloud patterns, cost optimization, and performance engineering for AI systems
• Expertise in Computer Science, Computer Engineering, Mathematics, or a related technical field

Preferred qualifications, capabilities, and skills

• Certifications in cloud technologies or AI (e.g., AWS Certified Solutions Architect, Azure AI Engineer).
• Experience working in regulated industries (e.g., finance, healthcare).
• Experience with Moderne and OpenRewrite recipe creation to automate code and infrastructure hygiene