Theocc

Principal, AI-Native SDLC Architecture

Chicago - 125 S Franklin · Principal

Sponsorship not specified$175k-$283kDetected 30 days ago

Code ReviewGitCI/CDAgentic AIA/B TestingAuditingTest AutomationResearchLeadershipCommunicationMentoringInternal Audit

About the role

We have deployed AI-assisted development tools across the firm, enabled citizen development, and established AI governance.
The next step is redesigning our software development lifecycle to be AI-native from the ground up - with graduated, tiered standards that work for everything from personal productivity tools to SCI-grade production systems.
You will have executive sponsorship, organizational mandate, and the backing to make standards enforceable rather than advisory.

OCC is transforming how its technology organization builds software.
You will design a graduated SDLC framework with prescriptive practice standards at each tier of criticality, pilot with real development teams, and drive adoption across the enterprise. The deliverable is a working development lifecycle - not a document.
This is a rare opportunity to define how a critical financial market utility builds software in the AI era. You will have executive sponsorship, organizational mandate, and the backing to make standards enforceable rather than advisory.
Design Graduated SDLC Standards and Practices
Elevate existing documentation, architecture decisions, integration patterns, and deployment procedures to the level of detail that drives consistent results from both human and AI developers
Design documentation and testing standards that serve double duty: readable by human developers joining a project and consumable by AI agents starting a coding session
Design graduation triggers and assessment mechanisms for artifacts moving between tiers
Create low-friction pathways for lower-tier development that enable experimentation without bureaucratic overhead
Design intake, classification, and registry processes for citizen-developed tools - visibility without paralysis
Drive Organizational Adoption

The requirements listed are representative of the knowledge, skill, and/or ability required.
10+ years in software engineering, architecture, or development methodology roles
Demonstrated experience designing and implementing SDLC standards or development practice frameworks at organizational scale - not single-team
Hands-on experience with AI coding agents (Claude Code, GitHub Copilot, Cursor, or equivalent) in real codebases - not just demos
Experience with brownfield/legacy codebases - understanding why AI-assisted development in complex existing systems is fundamentally different from greenfield
Excellent written and verbal communication. ability to translate technical concepts for executives and organizational standards for AI agents
The requirements listed are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the primary functions.
Required:
Working knowledge of context engineering: persistent context files, research-plan-implement workflows, progressive disclosure, context window management
Strong facilitation and coalition-building skills - ability to drive alignment across engineering, security, architecture, and governance functions
Preferred Qualifications
Background in organizational change management - understanding that SDLC transformation is a culture change, not a standards document

Experience in financial services, particularly regulated environments (SIFMU, bank, exchange, clearinghouse)
Familiarity with NIST AI Risk Management Framework, Regulation SCI, or CPMI-IOSCO principles
Experience with CI/CD pipelines, automated testing frameworks, and quality gate enforcement
Track record of staying current with rapidly evolving AI development practices - demonstrated through conference participation, publication, or community engagement
Executive sponsorship and organizational mandate to make standards enforceable
A leadership team that understands context engineering, has studied the research, and is committed to AI-native transformation - not just AI adoption
Competitive compensation commensurate with the Principal level

The salary range listed for any given position is exclusive of fringe benefits and potential bonuses. If hired at OCC, your final base salary compensation will be determined by factors such as skills, experience and/or education.
In addition, we believe in the importance of pay equity and consider internal equity of our current team members as part of any final offer.
We typically do not hire at the maximum of the range in order to allow for future and continued salary growth. We also offer a substantial benefits package as noted on www.theocc.com/careers
$175,100.00 - $282,800.00
Incentive Range

A highly collaborative and supportive environment developed to encourage work-life balance and employee wellness.
Tuition Reimbursement to support your continued education
Technology Stipend allowing you to use the device of your choice to connect to our network while working remotely
Generous PTO and Parental leave
Competitive health benefits including medical, dental and vision

The Options Clearing Corporation (OCC) is the world's largest equity derivatives clearing organization.
Founded in 1973, OCC is dedicated to promoting stability and market integrity by delivering clearing and settlement services for options, futures and securities lending transactions.
OCC has more than 100 clearing members and provides central counterparty (CCP) clearing and settlement services to 19 exchanges and trading platforms.
More information about OCC is available at www.theocc.com.
As a Systemically Important Financial Market Utility (SIFMU), OCC operates under the jurisdiction of the U.S. Securities and Exchange Commission (SEC), the U.S. Commodity Futures Trading Commission (CFTC), and the Board of Governors of the Federal Reserve System.

You will have executive sponsorship, organizational mandate, and the backing to make standards enforceable rather than advisory.

This listing is sourced directly from Theocc's careers page and normalized into a canonical job model.