Job Summary

This is a hands-on, customer-facing role at the intersection of software engineering, frontier AI, enterprise architecture, developer experience and engineering transformation. You will move between executive and engineering conversations - demonstrating Codex, shaping enterprise architectures, prototyping agentic workflows and helping customers deploy AI-assisted and increasingly autonomous software engineering safely at scale.

Key Responsibilities

• Lead Codex adoption: deliver production-relevant demonstrations, technical discovery, workshops, proofs of concept and executive briefings across enterprise engineering organizations.
• Design agentic SDLC solutions spanning discovery, requirements, architecture, development, testing, modernization, deployment and operations.
• Prototype specialized agents and multi-agent workflows; define context, memory, tools, permissions, human-in-the-loop controls and appropriate autonomy levels.
• Architect secure integrations across GitHub, CI/CD and DevOps platforms, AWS/Azure, APIs, identity, observability, ITSM and enterprise platforms such as SAP, Oracle, Salesforce and ServiceNow.
• Establish governance for AI-generated code and agents, including access control, data protection, auditability, approval gates, secure coding and deployment controls.
• Quantify value using KPIs such as developer throughput, cycle time, deployment frequency, quality, modernization velocity, cost per outcome and developer experience.
• Improve model performance and economics through context engineering, reusable skills, prompts, templates, repository instructions, retrieval and tool-selection patterns.
• Enable governed citizen development by creating reusable patterns, guardrails and collaboration models for business and technology teams.

Skill Requirements

• A meaningful Codex or frontier-model-assisted engineering implementation
• An agentic workflow that goes beyond simple code generation
• Integration with source control, CI/CD, cloud or enterprise systems
• Quantified productivity, quality, cost or modernization outcomes
• Governance patterns for AI-generated code and supervised or autonomous agents
• AI-assisted modernization of an existing or legacy application

Other Requirements

8+ years of experience in software engineering, architecture, developer platforms or engineering transformation, including recent hands-on generative AI work. Candidates should bring experience with:

• OpenAI Codex and APIs, frontier models and agentic workflows
• GitHub, source control, CI/CD, DevOps and automated quality engineering
• AWS and/or Azure, modern application and API architectures
• Enterprise security, identity, governance and software supply-chain controls
• Enterprise applications or integration environments; SAP, Oracle, Salesforce or ServiceNow experience is highly desirable