Lead Application Development Engineer
About The Position
The Lead Application Development Engineer – Agentic Engineering will join the AIX (AI for Engineering Excellence) team to design, build, and operationalize AI-powered agents and agentic workflows across the Software Development Life Cycle (SDLC). This role will drive scalable, secure, governed, and production-ready AI engineering solutions that improve developer productivity, software quality, and engineering automation across Cloud Software Group. Compensation may vary depending on your location, qualifications including job-related education, training, experience, licensure, and certification, that could result at a level outside of these ranges. Certain roles are eligible for additional rewards, including annual bonus, and sales incentives depending on the terms of the applicable plan and role as well as individual performance.
Requirements
- AI-powered agents and agentic workflows across the Software Development Life Cycle (SDLC)
- Scalable, secure, governed, and production-ready AI engineering solutions
- Improve developer productivity, software quality, and engineering automation
- Design and develop AI agents and agentic engineering workflows for software development, testing, code review, issue resolution, and engineering operations.
- Build multi-agent orchestration solutions that enable agents to plan, execute, validate, and collaborate on complex engineering tasks.
- Integrate AI agents with enterprise engineering platforms including GitHub, Jira, CI/CD pipelines, source repositories, testing systems, and developer tools.
- Develop reusable agents, skills, tools, APIs, MCP servers, and agent-to-agent integrations.
- Research and evaluate emerging LLMs, coding agents, agent frameworks, and AI engineering technologies.
- Establish production patterns for agent governance, security, observability, evaluation, guardrails, and human-in-the-loop controls.
- Develop prototypes and PoCs and transition successful solutions into scalable production services.
- Partner with engineering organizations to identify SDLC processes that can be transformed into agent-driven workflows.
- Provide technical leadership, architecture guidance, code reviews, and mentoring to engineering teams.
Responsibilities
- Design and develop AI agents and agentic engineering workflows for software development, testing, code review, issue resolution, and engineering operations.
- Build multi-agent orchestration solutions that enable agents to plan, execute, validate, and collaborate on complex engineering tasks.
- Integrate AI agents with enterprise engineering platforms including GitHub, Jira, CI/CD pipelines, source repositories, testing systems, and developer tools.
- Develop reusable agents, skills, tools, APIs, MCP servers, and agent-to-agent integrations.
- Research and evaluate emerging LLMs, coding agents, agent frameworks, and AI engineering technologies.
- Establish production patterns for agent governance, security, observability, evaluation, guardrails, and human-in-the-loop controls.
- Develop prototypes and PoCs and transition successful solutions into scalable production services.
- Partner with engineering organizations to identify SDLC processes that can be transformed into agent-driven workflows.
- Provide technical leadership, architecture guidance, code reviews, and mentoring to engineering teams.
Benefits
- healthcare
- life insurance
- disability benefits
- 401(k) plan and company match
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
