Senior Software Engineer - Applied AI

Grow with us 
 About this opportunity: Software Engineer, AI Technology Governance & Developer Foundation, Austin, Texas This is an on-site, hybrid work schedule and not opne for remote work. Build the foundation for safe, scalable AI-assisted development at Ericsson! AI-assisted development is moving quickly—from Code OSS-based IDEs with telecom-specific tooling to agentic development environments used across the organization. We are building the governance, infrastructure, and developer platforms that make this evolution secure, reusable, and scalable. As a Software Engineer on the AI Technology Governance and Foundation team, you will help shape the backbone of AI-assisted software development across the organization. You’ll build production-grade platforms and guardrails used by hundreds of developers, including internal AI marketplaces, reusable tooling standards, intellectual-property protections, security integrations, and CI/CD governance. This is a hands-on, foundational engineering role for someone who enjoys turning ambiguous 0-to-1 problems into durable tools, standards, and platforms that teams can confidently adopt. What you’ll do. Build and evolve foundational tooling for AI-assisted software development. Develop standards, registries, and reusable components that improve consistency and reduce duplicated effort. Contribute to AI marketplaces, including integrations for intellectual-property scanning, security, and governance. Integrate governance and compliance controls into CI/CD pipelines and developer workflows. Design and implement APIs, tools, and services that connect AI assistants, development environments, and internal platforms. Help build the next generation of agentic IDEs and Code OSS-based development experiences. Identify and close gaps related to software reuse, IP protection, security, and responsible AI adoption. Partner with developers, security teams, platform engineers, and technology leaders to turn organizational needs into practical engineering solutions. Take ownership of ambiguous requirements and drive solutions from concept and MVP through production adoption. Measure adoption, usability, reliability, and impact across the developer community. What you will bring. Strong software engineering fundamentals, including design, testing, maintainability, and operational ownership. Hands-on experience building or integrating AI- and LLM-based development tools. Experience designing or integrating APIs, developer tools, plugins, agents, or platform services. Practical fluency with CI/CD pipelines and modern software delivery practices. A security-minded engineering approach, including awareness of secure design, access control, data protection, and supply-chain or IP risks. Strong collaboration and communication skills, with the ability to work across teams and technical domains. A builder’s mindset: practical, curious, outcome-oriented, and comfortable making sound decisions with incomplete information. Experience delivering software that is adopted and used in production—not only prototypes or proofs of concept.   Join our Team 
 Highly desired experience . Developer-experience platforms, internal tooling, or engineering productivity systems. Code OSS, VS Code extensions, IDE integrations, or developer portals. AI marketplaces, model/tool registries, or agent frameworks. Software supply-chain security, IP governance, compliance automation, or policy-as-code. Platform engineering and infrastructure used across large engineering organizations. Taking an ambiguous problem from 0 to 1 and turning it into an adopted tool, standard, or service. What you can learn. You do not need to arrive with deep expertise in every part of AI governance, agentic development, telecom tooling, or intellectual-property management. The team can help you build domain knowledge in these areas. What matters most is your ability to learn quickly, engineer responsibly, collaborate effectively, and