Principal Generative AI Engineer

Cloud Analytics Technologies, LLC; Weehawken (NJ); On-site; USD 85,000 - 121,000; Full time

Job summary

Cloud Analytics Technologies, LLC seeks a Principal Generative AI Engineer to design, build, and ship AI solutions end-to-end, spanning traditional ML, Gen AI, and agentic AI. You will mentor a growing team and shape enterprise AI practices with partners across business and technology.

You will own delivery on top of the enterprise AI platform, collaborating with data scientists and engineers to quantify value and steer strategy.

Qualifications

• Advanced degree in CS/AI/engineering or math.
• 8+ years applying data science, ML and AI to business problems.
• Proficiency with AI-assisted engineering tools and agents.

Responsibilities

• Design and deliver AI solutions end-to-end across ML and Generative AI.
• Partner with stakeholders, data scientists, engineers and product teams.
• Own enterprise AI solution delivery and mentor growing team.

Skills

8+ years experience in data science/ML

AI-assisted engineering tools

Engineering agents development

Full-stack AI fluency

LLMs and RAG architectures

Multi-agent orchestration

Automated evaluation and safety

Cloud platforms (GCP Vertex AI / AWS)

Stakeholder engagement

Mentoring technical talent

Regulated industry experience (life/FS

Education

MS or PhD in CS/AI/Engineering/Math

Tools

LangGraph

Google ADK

MCP integration protocols

Databricks

Streamlit

React

Job description

US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other

Job Title:Principal Generative AI Engineer

Duration: 9 Months

Bill Rate: $75/hour (C2C)

Job Type: W-2, 1099, C2C

Client: To Be Discussed Later

Work Authorization: US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, Other

Job Description:

This is a hands-on, full-stack AI role: you design, build, and deliver AI solutions end to end, across traditional ML, Generative AI, and Agentic AI, while shaping technical strategy and mentoring/managing a growing team.
You will scope and deliver core AI solutions in close partnership with business stakeholders, data scientists, engineers, and product and technology partners, and help shape enterprise AI practices and standards, bringing deep expertise in AI solution delivery. You will own solution delivery on top of the enterprise AI platform, shipping agentic solutions end to end rather than building the underlying platform infrastructure. Additionally, you will partner with the business to assess and quantify the overall value delivered by the AI solution.

Required Skills:

• Advanced degree (MS or PhD) in Computer Science, AI, Engineering, Mathematics, or a related quantitative field.
• 8+ years of experience applying data science, ML, and AI to real-world business problems, with progressive growth in scope, complexity, and influence.
• Fluent with AI-assisted engineering tools, such as Codex, Claude Code, used daily as a force multiplier, with critical review of generated output.
• Experience building engineering agents that accelerate delivery itself, such as testing, code review, or deployment-validation agents, not just using AI tools to write code.
• Full-stack AI fluency: demonstrated ability to work across the spectrum from statistical modeling and ML to LLM application development and agentic system design, including rapid prototyping (e.g., Streamlit, React) and owning solutions through to production.
• Deep hands-on experience with LLMs, RAG architectures, and prompt engineering, including graph-based retrieval (GraphRAG, knowledge graphs) alongside traditional vector-based RAG.
• Hands-on experience with multi-agent and sub-agent orchestration frameworks (e.g., LangGraph, Google ADK, or equivalent) and MCP or equivalent tool integration protocols, for production agentic systems.
• Experience developing and evaluating AI systems rigorously: automated evaluation pipelines, red-teaming, hallucination detection, safety testing, and performance monitoring.
• Proficiency with cloud AI platforms, particularly GCP Vertex AI for agentic development, with working knowledge of AWS services (SageMaker, Bedrock) and modern data platforms (Databricks). Comfort consuming cloud-native platform services (existing IaC templates, CI/CD pipelines, the AI gateway) to deploy and operate solutions.
• Strong stakeholder engagement and communication skills: ability to scope initiatives, present to senior leaders, manage expectations, and drive alignment across business and technology partners.
• Track record of mentoring and elevating technical talent.
• Experience in life insurance, financial services, or other regulated industries is a plus.

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.

Some of our Business Ventures - Knowledge Analytics

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