Full-Time

AIOps Lead Software Engineer

JP Morgan Chase

JP Morgan Chase

10,001+ employees

Global financial services with diversified offerings

No salary listed

Plano, TX, USA + 1 more

More locations: Columbus, OH, USA

In Person

Category
Software Engineering (2)
,
Required Skills
LLM
Python
Machine Learning
RAG
AWS
DevOps
Requirements
  • Formal training or certification on software engineering concepts and 5+ years applied experience
  • 5+ years in software engineering, SRE, DevOps, or platform engineering, with practical experience in AIOps or AI-driven automation
  • Experience with AIOps tools and frameworks for model deployment, monitoring, retraining, and lifecycle management, and automating operational tasks (e.g. incident triage, auto-remediation)
  • Hands-on experience with GenAI/LLM frameworks (RAG Architectures, vector databases)
  • Proficiency in at least one modern programming language (e.g., Python), with experience building and integrating GenAI models and APIs
  • Strong background in observability and monitoring—designing and implementing distributed tracing, logging, metrics, dashboards, and alerting systems, including AI-assisted diagnostics
  • Solid understanding of SRE/DevOps principles (SLA/SLOs, error budgets, MTTR, MTTD, Chaos Engineering), with a focus on leveraging GenAI to improve reliability and efficiency
  • Hands-on experience with public cloud platforms (AWS), including deploying and managing GenAI workloads
  • Practical experience implementing AIOps solutions using GenAI for anomaly detection, predictive alerting, automated incident response, root cause analysis, and self-healing systems
  • Ability to explain complex technical concepts to product managers, executives, and non-technical audiences.
  • Experience introducing AI/ML solutions into engineering teams (with limited prior AI experience) including establishing reusable patterns, providing technical direction, and coaching engineers through AI deliveries.
Responsibilities
  • Design and deploy AIOps solutions and automation pipelines to proactively detect, diagnose, and resolve incidents; reduce MTTD/MTTR, prevent recurrences
  • Identify and systematically eliminate operational toil through automation targeting manual processes in incident response, deployments, testing, reporting, and routine operations
  • Execute and lead the design and development of AI software solutions that enhance reliability, scalability, and performance of the Loan Origination System (LOS) and related platforms, including the ability to think beyond routine or conventional approaches to build solutions or break down technical problems
  • Participate in on-call rotations, incident responses, and postmortems utilizing data-driven insights to identify and remediate reliability risks.
  • Collaborate with product, architecture, security, and operations teams to embed reliability, security, and AI best practices throughout the software development lifecycle
  • Identify high-impact opportunities and design end-to-end GenAI solutions including RAG pipelines, vector databases, LLM integrations, and agentic workflows in driving them from concept to production
  • Deliver AI-powered products with simple user workflows for non-technical stakeholders in converting technical complexity into usable features and business impact
  • Ensure solutions meet regulatory, compliance, privacy, and model governance requirements for financial services
  • Provide hands-on coding expertise and mentor engineers who are new to AI to establish reusable patterns, lead workshops, and build the team's ability to independently deliver AI solutions over time
  • Lead evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture
  • Lead communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies
Desired Qualifications
  • Background in mortgage technology, lending systems, or regulated financial services
  • Experience building self-healing systems, auto-remediation workflows, or predictive alerting at scale
  • Experience with Chaos Engineering and proactive resilience testing
  • AWS certifications (e.g., Solutions Architect, Machine Learning Specialty) or equivalent cloud certifications

A global financial services firm offering investment banking, asset management, private equity, financial services, and consumer banking to individuals and institutions. It works by providing advisory, lending, trading, and financing services through a worldwide network, earning revenue from interest, fees, and trading commissions, and using its data and the JPMorgan Chase Institute to analyze economies. It stands apart from peers due to its size, full-range services across consumer and corporate markets, extensive market access, and in-house data-driven insights. Its goal is to deliver comprehensive financial products with integrity and growth while supporting clients and communities through data-backed analysis and targeted programs.

Company Size

10,001+

Company Stage

IPO

Headquarters

New York City, New York

Founded

1959

Simplify Jobs

Simplify's Take

What believers are saying

  • Institutional clients migrate treasury activity to JPMorgan's blockchain infrastructure, generating recurring fees.
  • AI investment of $2B annually drives operational efficiency without workforce reduction, improving margins.
  • 23% return on tangible common equity with 71M digital customers supports sustained profitability growth.

What critics are saying

  • Starmer's ouster triggers £9.9B London Canary Wharf project cancellation if successor government hostile.
  • SEC reverses yield-bearing tokenized asset rules, forcing Kinexys platform redemption and client litigation.
  • Branch expansion into low-income markets increases credit losses and fraud exposure in underserved segments.

What makes JP Morgan Chase unique

  • Tokenized fund leadership on Ethereum with $32B RWA market capturing institutional treasury migration.
  • Coordinated fraud prevention ecosystem through $14M philanthropic investment complementing internal AI defenses.
  • Geographic branch expansion into 500 locations by 2027 targeting underserved rural communities.

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Benefits

Health Insurance

Flexible Work Hours

Paid Sick Leave

Paid Holidays

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