LMTS - AI Automation Engineer - Offensive Security
Salesforce - India - Hyderabad
Posted May 13, 2026
Benefits
- Parental leave
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- Non-birth-parent leave
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- Family-building benefits
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- Surrogacy assistance: Not verified
- Mental health support
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- Relocation assistance
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- Childcare support
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- Learning budget
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- Verification
- Source-linked last checked May 7, 2026
- Salary
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- 401(k) match
- Listed Source: EMPLR_CONTRIB_INCOME_AMT. source Last checked May 7, 2026.
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Schedule
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- Weekend work
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Application
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- Deadline
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Where they hire
State eligibility is not yet verified.
About this role
LMTS - AI Automation Engineer - Offensive Security India - Hyderabad We are looking for a Lead AI Automation engineer to design and build advanced AI-driven automation that supports offensive security and security research workflows. This is a deeply hands-on engineering role. You will work closely with the AI Automation Director and a small, agile team to implement orchestrated, agent-based automation-translating architectural direction into reliable, production-grade systems. The focus is on building automation that can reason over complex data, coordinate multi-step actions, and operate safely in real environments. This role is ideal for an experienced engineer who has built real AI systems, understands their limitations, and wants to apply them to complex, adversarial problem spaces. Key Responsibilities Design, implement, and maintain agent-based AI automation workflows under the technical direction of the AI Automation Director Build systems capable of: Reasoning over large and heterogeneous data sources Planning and executing multi-step workflows Grounding actions in real-world data Result-adaptive execution Implement core components, including: Agent logic and orchestration layers Tool interfaces and execution handlers State management, memory, and context handling Translate high-level automation designs into robust, testable implementations Integrate AI-driven workflows with existing services, data sources, and platforms Implement observability, logging, and debugging mechanisms for AI-assisted systems Participate in evaluation and iteration of prompts, workflows, and control logic Collaborate closely with security practitioners to ensure outputs are actionable and operationally relevant Contribute to engineering standards around safety, reliability, and change management Required Qualifications 9+ years of professional software engineering experience, with strong exposure
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