AI-Driven Enterprise Architect Lead

JPMorganChase; Jersey City (NJ); On-site; USD 180,000 - 240,000; Full time

Benefits offered by this job

Health coverage

On‑site amenities

401(k) and retirement plans

Paid time off

Job summary

JPMorganChase seeks a Senior Lead Architect to shape enterprise AI/ML architectures within Corporate Technology Data Strategy & Architecture. You will drive design across data strategy, cloud orchestration, security, and regulatory compliance, partnering with engineering and business teams to deliver scalable, secure solutions.

The role emphasizes governance, risk management, and hands‑on coding in data‑intensive AI systems, with collaboration across product families and stakeholders to meet

Qualifications

• Formal training or certification on architecture concepts and 5+ years applied experience in AI/ML, cloud, and data engineering
• Minimum 12+ years of hands‑on experience in system design, application development, testing, and operational stability.
• Demonstrated expertise in designing and deploying production AI/ML systems, including LLM‑based applications, embedding pipelines, vector stores, and agentic architectures with tool use, memory, and multi‑step reasoning.
• Experience evaluating model outputs for safety, accuracy, and latency in regulated environments.
• Advanced proficiency in programming languages such as Java and Python.
• Deep knowledge of software architecture, applications, and technical processes within cloud, AI, ML, and data engineering.
• Working knowledge of relational and NoSQL databases, data lake architectures, and large‑scale data processing technologies (e.g., Spark/PySpark, Databricks, Snowflake).
• Experience with microservices, API design, Kafka, Redis, Memcached, observability tools (Dynatrace, Splunk, Grafana), and orchestration tools (Airflow, Temporal).
• Ability to evaluate and integrate AI‑enabled capabilities into enterprise‑grade architectures, meeting resiliency, security, and auditability requirements.
• Practical cloud‑native experience and ability to tackle complex design and functionality challenges independently.
• Strong judgment and communication skills to influence technical direction across teams and stakeholders.

Responsibilities

• Represent product families in technical governance bodies, proposing enhancements to architecture governance and AI risk management practices.
• Provide strategic technical guidance to business stakeholders, engineering teams, contractors, and vendors, fostering a collaborative and innovative environment.
• Leverage enterprise‑authorized AI/ML capabilities—including LLMs, agentic systems, and embedding pipelines—to accelerate architecture analysis, decisioning, and solution delivery, with robust human‑in‑the‑loop validation and sensitive data handling.
• Guide evaluation and integration of current and emerging technologies, influencing peers and decision‑makers to adopt leading‑edge AI/ML and cloud‑native solutions.
• Drive architectural decisions impacting product design, application functionality, and technical operations, with a focus on AI‑enabled engineering patterns and governance.
• Develop secure, high‑quality production code for data‑intensive and AI‑driven applications; review and debug code written by others to ensure best practices.
• Serve as a subject matter expert in data engineering, platform architecture, and AI/ML, actively contributing to the engineering community and advocating firmwide SDLC frameworks.
• Establish and govern reuse‑first, AI‑enabled engineering patterns across SDLC/toolchain practices, ensuring traceability, auditability, resiliency, and security controls.
• Architect and govern agentic AI systems—including multi‑agent workflows, tool‑use patterns, and human‑in‑the‑loop controls—suitable for regulated financial services environments.
• Lead AI risk governance design, observability, and ability to explain requirements for production AI systems, shaping enterprise approaches to AI agent orchestration, inter‑agent communication, and state management at scale.

Skills

AI/ML architecture

Cloud architecture

Data engineering

Software design

Security & compliance

Stakeholder mgmt

Java

Python

LLM frameworks

Big data

Education

Bachelor's degree in CS/SE

Advanced degree (preferred)

Tools

Databricks

Snowflake

Kafka

Airflow

TensorFlow

Job description

JPMorganChase seeks a Senior Lead Architect to shape enterprise AI/ML architectures within Corporate Technology Data Strategy & Architecture. You will drive design across data strategy, cloud orchestration, security, and regulatory compliance, partnering with engineering and business teams to deliver scalable, secure solutions.

The role emphasizes governance, risk management, and hands‑on coding in data‑intensive AI systems, with collaboration across product families and stakeholders to meet