Director of Software Engineering Sales & Controls Technology

JPMorgan Chase & Co.•Jersey City, NJ

11h•$204,250 - $285,000

About The Position

As a Director of Software Engineering at JPMorgan Chase within the Commercial & Investment Bank, Sales & Controls Tech Team, you will lead a technical area and drive impact within teams, technologies, and projects across departments. You will utilize your in-depth knowledge of software, applications, technical processes, and product management to drive multiple complex projects and initiatives, while serving as a primary decision maker for your teams and a driver of innovation and solution delivery.

Requirements

Formal training or certification on software engineering concepts and 10+ years applied experience.
5+ years of experience leading technologists to manage, anticipate and solve complex technical items within your domain of expertise.
Expert Python engineer: builds production-grade services/libraries with strong testing, performance, and reliability practices.
Proven AI/agentic workflow architecture experience (tool-use patterns, orchestration, context management, guardrails, human-in-the-loop).
Strong solution/enterprise architecture skills: designs end-to-end systems and documents patterns, integrations, and data flows clearly.
Hands-on AWS experience delivering secure, scalable cloud-native services (IAM/security, networking, compute, monitoring/observability).
VectorDB + retrieval (RAG) experience: embedding/indexing pipelines, similarity search, metadata filtering, and relevance/latency tradeoffs.
Experience building personalization driven by user profiles/entitlements/preferences and applying it to AI assistant experiences.
Familiarity with voice + chat conversation data processing pipelines to enable assistant insights and personalization.
Platform ownership mindset for large user bases (~3,000 users): availability, resiliency, incident response, and safe release practices.
Strong responsible AI / controls understanding: secure handling of sensitive inputs/outputs, governance, and quality gates using enterprise-authorized tools.

Responsibilities

Leads technology and process implementations to achieve functional technology objectives.
Accountable for decisions that influence teams’ resources, budget, tactical operations, and the execution and implementation of processes and procedures.
Sets direction and governance for agentic AI-enabled engineering and SDLC/ADLC automation within a technical area to drive measurable improvements in speed, quality, and operational outcomes (e.g., AI-orchestrated delivery workflows, release readiness controls, automated test modernization, and incident triage acceleration), while establishing guardrails for validation, security, resiliency, traceability, and reuse across teams.
Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation and support capacity unlock initiatives at scale.
Carries governance accountability for coding decisions, control obligations, and measures of success such as cost of ownership, maintainability, and portfolio operations.
Delivers technical solutions that can be leveraged across multiple businesses and domains.
Leadership capabilities: leads/mentors technologists, influences stakeholders, and supports hiring/screening for deep technical roles.