LMTS - AI Automation Engineer - Offensive Security

Benefits

Parental leave

26 weeks From the posting source checked Jun 20, 2026

Non-birth-parent leave

12 weeks From the posting source checked Jun 20, 2026

Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

Not verified

Relocation assistance

Not verified

Childcare support

Not verified

Learning budget

Not verified

Verification

Source-linked checked May 7, 2026

Salary

Not verified

401(k) match

Reported from DOL Form 5500 industry filing (not employer-specific)

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Market context

U.S. role benchmark (BLS OEWS)

$116,543 U.S. median for this role

Projected growth (BLS Employment Projections)

+9.8% - Much faster than average

Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Engineering From the posting source checked Jun 20, 2026

Seniority

Mid From the posting source checked Jun 20, 2026

Schedule

Shift type

Not verified

Weekend work

Not verified

Company

Company stage

Public-company From the posting source checked Jun 20, 2026

Equity

Offered Verified - SEC 10-K source checked Jun 20, 2026

Application

Cover letter

Not verified

Assessment

Not verified

Deadline

Not stated

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

Read the full description at careers.salesforce.com. FewerJobs shows a preview and links to the original posting.