QT

SR GEN AI Engineer

QUANTUM TECHNOLOGIES LLC H-1BOPT Information Technology Full-timeJersey City, NJ $87/hour
Posted Sep 23, 2026 · Expires Oct 17, 2026

Quick facts

Pay
$87/hour
Type
Full-time
Location
Jersey City, NJ
Background
Master's degree
Skills
Machine Learning
Industry
Information Technology — 671 open jobs
Visa in listing
H-1B, OPT
Apply
Free to apply — never pay anyone for a job offer or visa sponsorship

Job description

Job Title: SR GEN AI Engineer

Location: New Jersey

Duration: 12 Months + Extension

Bill Rate: $87/hour

Job Type: W-2 Contract

Client: To Be Discussed Later

Work Authorization: US-Citizen, H-1B, OPT-EAD, GC-EAD

POSITION OVERVIEW : Job Description : Must have Google Cloud Platform and the Google AI stack (Vertex AI, Gemini).

  1. Strong Google Cloud Platform ecosystem understanding - should know the data products and when to choose which product.
  2. Past must be Google Cloud Platform Data Architect or Engineer
  3. Present must be AI Architect - have strong hands-on experience on at least 1 AI project on Google Cloud Platform

We are seeking an experienced AI Architect to lead the design, development, and implementation of enterprise-scale Artificial Intelligence solutions. The ideal candidate will possess deep expertise in Generative AI, Large Language Models (LLMs), Agentic AI, and LLMOps, along with a proven track record of managing and directing AI engineering teams. This role requires strong technical leadership, strategic thinking, and the ability to drive AI innovation aligned with business objectives.

Key Responsibilities

  1. Define and drive the AI architecture strategy for enterprise-wide AI initiatives.
  2. Design scalable and secure Generative AI, Agentic AI, and LLM-based solutions.
  3. Lead the implementation of AI platforms, frameworks, and operational processes for LLMOps.
  4. Establish best practices for model lifecycle management, monitoring, governance, and performance optimization.
  5. Collaborate with business stakeholders to identify high-value AI use cases and develop solution roadmaps.
  6. Provide technical leadership and mentorship to AI engineers, data scientists, and architects.
  7. Oversee AI solution delivery, ensuring adherence to architecture standards, security, and compliance requirements.
  8. Evaluate emerging AI technologies and recommend adoption strategies.
  9. Drive innovation in autonomous AI systems, multi-agent frameworks, and enterprise AI transformation programs.

Required Skills & Experience

15+ years of overall IT experience with significant experience in Artificial Intelligence and Machine Learning.

Strong expertise in:

  • AI Architecture
  • Generative AI (GenAI)
  • Large Language Models (LLMs)
  • LLMOps
  • Agentic AI / Multi-Agent Systems
  • AI Solution Design & Governance

Experience building enterprise-grade AI applications using leading AI frameworks and platforms.

Hands-on experience with AI orchestration frameworks such as LangChain, LangGraph, CrewAI, AutoGen, or similar technologies.

Strong understanding of AI deployment, monitoring, observability, security, and responsible AI practices.

Proven experience leading, managing, and mentoring AI engineering and data science teams.

Ability to engage with executive stakeholders and translate business requirements into AI solutions.

Preferred Qualifications

  • Experience in Traditional Data Science and Machine Learning.
  • Experience with Google Cloud Platform AI ecosystem.
  • Hands-on experience with BigQuery ML (BQML).
  • Knowledge of MLOps, Data Engineering, and cloud-native AI architectures.
  • Experience implementing AI solutions in large enterprise environments.

Leadership Requirements

  • Demonstrated success in directing and managing AI teams.
  • Experience leading cross-functional initiatives involving Data Scientists, AI Engineers, Architects, and Business Stakeholders.
  • Strong communication, stakeholder management, and decision-making skills.

Education

Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related field.

Relevant AI/Cloud certifications are highly preferred.

Nice to Have

  • Experience with Google Vertex AI, Gemini, OpenAI, Anthropic Claude, or similar AI ecosystems.
  • Experience with RAG (Retrieval-Augmented Generation) architectures.
  • Exposure to Data Engineering platforms such as BigQuery, Databricks, Snowflake, or equivalent technologies.
  • Experience implementing Responsible AI and AI Governance frameworks.

Ideal Candidate Profile

Equal Opportunity Employer: We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.

Visa sponsorship record: Quantum Technologies LLC

Sponsors actively
73H-1B labor applications (LCA)96% certified
26H-1B petitions approved by USCISapproval rate 93% · 19 new
2Green card filings (PERM)2 certified
$77kMedian H-1B salaryfrom LCA filings
Fiscal yearH-1B LCAsUSCIS approvalsUSCIS denialsPERM
FY202614162—
FY202556502
FY2024350—

✔ Quantum Technologies LLC filed 9 H-1B applications for this kind of role (Data Scientists) in the period above.

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Full sponsorship history of Quantum Technologies LLC →

Which visas can work for this job

Occupation: Data Scientists (SOC 15-2051).

  • Mentioned in the listing

    H-1B, OPT

  • H-1B cap-exempt employer

    Regular cap-subject employer — a new H-1B needs to win the lottery in March (unless you already hold cap-counted H-1B status).

  • TN (citizens of Canada and Mexico)

    This kind of role may fit the USMCA profession “Mathematician / Statistician” — it depends on the actual duties. No lottery, no cap; you need the matching degree or license.

  • E-3 (Australia) and H-1B1 (Chile, Singapore)

    Same degree requirement as H-1B, but no lottery and a separate quota that is rarely filled.

  • O-1 (extraordinary ability)

    For candidates with awards, publications, press, a high salary or critical roles at distinguished organizations. No cap, no lottery; the employer files a petition.

  • STEM OPT extension (F-1 students)

    Requires an E-Verify employer. We didn't find this company in the E-Verify list — ask HR.

  • Green card (EB-2 / EB-3 via PERM)

    Filed 2 PERM labor certifications: they have a track record of sponsoring permanent residence.

Salary vs prevailing wage

Level IV (fully competent)

Data Scientists · New York-Newark-Jersey City, NY-NJ. Annual prevailing wages set by the Department of Labor (OFLC).

L1L2L3L4
LevelPrevailing wageH-1B lottery odds*
Level I$87,256~15%
Level II$115,835~31%
Level III$144,414~46%
Level IV$172,994~61%

This job pays $180,960 a year (converted from an hourly rate, 2,080 hours) — that's Level IV (fully competent). In the wage-weighted H-1B lottery a Level IV registration gets 4 entries; estimated selection chance about 61% — better than average.

* Odds are DHS projections for the FY2027 wage-weighted lottery (actual results vary by year and employer). Since the FY2027 cap season the H-1B lottery is weighted by wage level: Level I = 1 entry, II = 2, III = 3, IV = 4. The level is set by the offered wage against the prevailing wage for the occupation and worksite. Separately, a $100,000 fee for new H-1B petitions for workers outside the US was announced in 2025; as of September 2026 a federal court ruling keeps it unenforceable while appeals continue — check the current status.

Sources: U.S. Department of Labor OFLC disclosure data (H-1B/H-1B1/E-3 LCA, PERM), OFLC prevailing wage data, USCIS H-1B Employer Data Hub, E-Verify participating employers. Data loaded: LCA FY2024–FY2026, PERM, USCIS Data Hub, OFLC wages; updated 2026-10-03. Employers are matched by name, so records of companies with similar names can occasionally be mixed up. This is general information, not legal advice — talk to an immigration attorney about your case.