Zeta Global

Zeta Global

Senior Agentic AI Engineer

New York, New York, United States · Senior

Sponsorship not specified$150k-$180kDetected 155 days ago
PythonJavaGoDistributed SystemsAWSSite Reliability EngineeringMachine LearningLLMsRAGAgentic AIA/B TestingSignal Processing

Stay score

odds of building a lasting career here

61Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role90
Entry-level history0
PERM / green-card track0
Lottery odds (Level IV)94
Fits your clock70

Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.

Lottery odds assume a STEM candidate.

Personalize to your clock →

H-1B wage level

the lottery is wage-weighted — each level is one more entry

Level II · 2×
Level I$109,8451 entry
Level II$137,7172 entries
Level III$165,5893 entries
Level IV$193,4614 entries

$15,589 more — $165,589 — moves this role to Level III and 3 lottery entries. That figure is inside the range the employer already advertised.

Based on the DOL prevailing wage for this occupation and worksite, a base salary of $165,589 would place this position at wage Level III. That figure is within the posted range, and I'd like to target it. This role classifies under "Software Developers" for prevailing-wage purposes.

DOL prevailing wage, 2026-27 wage year · Software Developers (15-1252) · New York-Newark-Jersey City, NY-NJ. Wage level is derived by USCIS from the offered wage, occupation and worksite; the occupation shown is inferred from the job title.

Employer immigration record

from this employer's Department of Labor filings

Files H-1B transfers

12 transfer filings in the last year, covering 12 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

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About the role

  • This is not a classic "train a model and deploy it" role-this is agentic decisioning + evaluation + safety in a low-latency AdTech environment.

Responsibilities

  • Build bidder-adjacent agentic workflows that recommend/execute campaign control actions (targeting constraints, budget & pacing levers, bid modifiers, supply/inventory selection, creative routing).
  • Implement production-grade RAG: retrieval from policies/playbooks, campaign history, aggregates, and near-real-time telemetry
  • optimize grounding and reduce hallucinations.
  • Create safe tool/action interfaces: idempotent execution, audit logs, dry-run + approval gates, rate limits, rollback/fallback behaviors.
  • Own AgentOps: eval harnesses, regression suites, online experimentation (A/B), metrics tied to outcomes (CPA/ROAS, pacing, quality, margin).
  • Partner with Backend/Bidding, Data Platform, DS/Optimization, Product, and SRE to define the boundary between deterministic per-request bidding and agent-driven control-plane decisions.
  • 5+ years building production backend and/or applied AI systems (design → ship → operate ).
  • Experience building evals and monitoring for AI systems (offline benchmarks + online experiments).
  • Implement production-grade RAG: retrieval from policies/playbooks, campaign history, aggregates, and near-real-time telemetry; optimize grounding and reduce hallucinations.

Requirements

  • Hands-on experience with LLMs and agentic patterns (tool use, structured outputs, multi-step loops).

Nice to have

  • Programmatic advertising (DSP/SSP/RTB) or other high-scale real-time decisioning domains.
  • Experience with safety/policy enforcement for agent tools (prompt/tool sanitization, allowlists, schema validation).
  • Experience designing "AI control plane" systems that influence production outcomes while keeping serving paths stable.
  • Familiarity with experimentation platforms, feature stores, and large-scale telemetry pipelines.
  • Cloud + distributed systems fundamentals (APIs, microservices, streaming/ eventing

Skills

  • Zeta Global (NYSE:
  • Steinberg and John Sculley and is headquartered in New York City with offices around the world.
  • To learn more, go to www.zetaglobal.com.
  • Role Snapshot

Compensation

  • $150k-$180k

Benefits

  • Excellent medical, dental, and vision coverage
  • Employee Equity

Company info

  • Zeta Global (NYSE: ZETA) is the AI-Powered Marketing Cloud that leverages advanced artificial intelligence (AI) and trillions of consumer signals to make it easier for marketers to acquire, grow, and retain customers more efficiently. Through the Zeta Marketing Platform (ZMP), our vision is to make sophisticated marketing simple by unifying identity, intelligence, and omnichannel activation into a single platform - powered by one of the industry's largest proprietary databases and AI. Our enterprise customers across multiple verticals are empowered to personalize experiences with consumers at an individual level across every channel, delivering better results for marketing programs. Zeta was founded in 2007 by David A. Steinberg and John Sculley and is headquartered in New York City with offices around the world. To learn more, go to www.zetaglobal.com.
  • We're hiring a hands-on Agentic AI engineer to build bidder-adjacent agents that improve campaign performance using RAG + tool-using workflows in a closed-loop ACE (Observe → Reason → Act → Evaluate). This is not a classic "train a model and deploy it" role-this is agentic decisioning + evaluation + safety in a low-latency AdTech environment.
  • Zeta Global (NYSE: ZETA) is the AI-Powered Marketing Cloud that leverages advanced artificial intelligence (AI) and trillions of consumer signals to make it easier for marketers to acquire, grow, and retain customers more efficiently.
  • Through the Zeta Marketing Platform (ZMP), our vision is to make sophisticated marketing simple by unifying identity, intelligence, and omnichannel activation into a single platform - powered by one of the industry's largest proprietary databases and AI.
  • Our enterprise customers across multiple verticals are empowered to personalize experiences with consumers at an individual level across every channel, delivering better results for marketing programs.
  • Zeta was founded in 2007 by David A.
  • We're hiring a hands-on Agentic AI engineer to build bidder-adjacent agents that improve campaign performance using RAG + tool-using workflows in a closed-loop ACE (Observe → Reason → Act → Evaluate).

This listing is sourced directly from Zeta Global's careers page and normalized into a canonical job model.