# Tech Lead-Machine Learning Engineer (Agent & Multi-Agent Systems) – AIGC Risk Intelligence

Source: https://realanalystjobs.com/job/tech-lead-machine-learning-engineer-agent-and-multi-agent-systems-aigc-risk-inte-f5d6bf27
Tech Lead-Machine Learning Engineer (Agent & Multi-Agent Systems) – AIGC Risk Intelligence at TikTok, an on-site role based in Seattle, Washington, USA. Experience level: 5+ Years. First seen on RealAnalystJobs on 15 November 2026, read from TikTok's own careers page (TikTok), which RealAnalystJobs re-checks daily and removes the role when it closes. TikTok has approved H-1B petitions on USCIS record (employer-wide, not a promise for this role).

Updated 15 November 2026.

## Key facts

- Company: [TikTok](https://realanalystjobs.com/companies/tiktok)
- Location: Seattle, Washington, USA
- Work mode: On-site
- First seen: Nov 15, 2026
- Employment type: Full time
- Experience level: 5+ Years
- Source: TikTok's careers page (TikTok), re-checked daily

Skills: [Python](https://realanalystjobs.com/skills/python)

## Visa sponsorship

The posting does not say.

TikTok had H-1B petitions approved for 454 workers in fiscal year 2026 (USCIS). That is history, not a promise for this role. [See the record](https://realanalystjobs.com/companies/tiktok#h1b-record)

## About this role

Our team is building the next generation of AI-native risk intelligence systems to address emerging challenges driven by large-scale AIGC content production.
As content creation becomes automated and adversaries adopt systematic experimentation (e.g., large-scale template variation and rapid iteration), traditional rule-based and single-model approaches are no longer sufficient. We are transitioning from monolithic LLM applications to a structured multi-agent architecture that emphasizes:
Tool-augmented reasoning (ReAct-style systems)
Modular skill composition
Execution traceability and observability
Feedback-driven system evolution
Cross-domain risk reasoning
We are seeking an experienced technical leader to define and implement this architecture.

Responsibilities
- Architect and Implement Agent Systems
Design structured agent workflows (e.g., Evaluate → Validate → Reflect → Summarize)
Implement ReAct-style tool allocation and reasoning frameworks
Develop short-term and long-term memory architectures
Ensure robustness under adversarial and evolving conditions

- Lead Multi-Agent Architecture Development
Design orchestration layers for coordinating vertical domain agents
Build modular Skill systems for extensibility and reuse
Define execution graph standards and planning abstractions
Establish traceability mechanisms for debugging and auditability

- Develop Open Risk Detection Capabilities
Architect systems capable of identifying previously unseen risk patterns
Implement execution trace - driven optimization loops
Translate feedback signals (FP/FN, reviewer overrides, drift signals) into system improvements
Enable proactive rather than purely reactive detection systems

- Establish Engineering Standards for Agent Systems
Define traceability, observability, and guardrail requirements
Evaluate and integrate multi-agent frameworks where appropriate
Ensure production-readiness, scalability, and reliability

- Provide Technical Leadership
Own the technical roadmap for Agent and multi-agent systems
Partner cross-functionally with Risk, Safety, Infra, and ML teams
Mentor engineers and drive architectural rigor

Qualifications
Minimum Qualifications
- 5+ years of experience in software engineering or applied AI systems
- Deep understanding of LLM-based agent architectures (ReAct-style reasoning/Tool calling systems/Workflow orchestration/Memory design patterns)
- Experience designing distributed or modular AI systems
- Strong backend engineering skills (Python or equivalent)
- Experience operating systems in adversarial or high-stakes environments

Preferred Qualifications
- Experience in trust & safety, risk detection, or adversarial ML
- Familiarity with multi-agent orchestration frameworks
- Experience building systems with execution trace logging and observability
- Background in RL-style policy optimization or iterative system refinement
- Demonstrated experience leading high-impact technical initiatives

Description from TikTok's public careers feed, reproduced so you can read the role here. Apply on the company's own site; Real Analyst Jobs never submits anything for you.

## How to apply

Open [this role on Real Analyst Jobs](https://realanalystjobs.com/job/tech-lead-machine-learning-engineer-agent-and-multi-agent-systems-aigc-risk-inte-f5d6bf27) and use Apply now there to reach the employer's application. The listing is re-checked against TikTok's careers page daily and removed when it closes.

## TikTok

101 open analyst roles on Real Analyst Jobs. [More roles at TikTok](https://realanalystjobs.com/companies/tiktok)

## More like this

### Other open roles at TikTok

- [Business Analyst, Business Integrity](https://realanalystjobs.com/job/business-analyst-business-integrity-tiktok-c28aba20), Singapore
- [Business Analyst - Global Business Solutions - São Paulo](https://realanalystjobs.com/job/business-analyst-global-business-solutions-sao-paulo-tiktok-14e33f1e), Sao Paulo, Brazil
- [Global Quality Operations AI Solutions Specialist](https://realanalystjobs.com/job/global-quality-operations-ai-solutions-specialist-tiktok-b968d27f), Singapore
- [Monetization Strategy & Operations Manager - GBS](https://realanalystjobs.com/job/monetization-strategy-and-operations-manager-gbs-tiktok-d9b1af11), Buenos Aires, Argentina
- [Risk Analyst](https://realanalystjobs.com/job/risk-analyst-tiktok-900d7b2d), San Jose California, USA (On-site)

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## Sources and links

- [This role on Real Analyst Jobs](https://realanalystjobs.com/job/tech-lead-machine-learning-engineer-agent-and-multi-agent-systems-aigc-risk-inte-f5d6bf27)
- [TikTok on Real Analyst Jobs](https://realanalystjobs.com/companies/tiktok)
- [All analyst jobs](https://realanalystjobs.com/jobs)
