Entry Level AI Lead Jobs
New grad ai lead jobs welcome recent graduates and entry level candidates with zero to two years of experience, where a strong portfolio or internship project can matter more than a long resume. Most openings are on-site and hybrid roles across Technology & Software, Energy, and Education, with employers like Capgemini, JPMorganChase, and C Spire hiring at this level now.
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Key responsibilities:
Design and build GenAI/LLM solutions for test automation: test case generation from requirements and user stories, test data synthesis, and script generation.
Develop AI agents (agentic workflows) that create, execute and triage automated tests across UI, API and mobile layers.
Implement self-healing locators and intelligent test maintenance within the Trident framework.
Build RAG pipelines over NCLH requirements, test repositories and defect history to power QA copilots.
ML to defect prediction, risk-based test selection, flaky-test detection and failure root-cause clustering.
Integrate AI services into CI/CD (Azure DevOps / Jenkins / GitHub Actions) and test management tools (Jira, Xray).
Define evaluation metrics for AI outputs (accuracy, hallucination rate, effort saved) and report ROI to stakeholders.
Enforce responsible AI: data privacy (guest PII), security guardrails, prompt governance and model auditability.
Create reusable accelerators and documentation; mentor automation engineers on AI adoption.
Collaborate with the Trident lead, client architects and QA teams onshore and offshore.
Must-have skills:
Programming: Strong Python; working knowledge of Java or TypeScript
GenAI / LLMs: Hands-on with OpenAI / Azure OpenAI, Claude or Gemini APIs; prompt engineering
Frameworks: LangChain, LlamaIndex or Semantic Kernel; agent orchestration (LangGraph, CrewAI or similar)
RAG: Embeddings, vector databases (FAISS, Pinecone, Chroma, Azure AI Search), chunking and retrieval tuning
ML: scikit-learn, pandas; classification, clustering, NLP basics
Test automation: Selenium, Playwright or Cypress; REST API testing; BDD (Cucumber)
DevOps: Git, CI/CD pipelines, Docker; REST/FastAPI service development
Cloud: Azure or AWS AI services
The pay range that the employer in good faith reasonably expects to pay for this position is $32.36/hour - $50.56/hour. Our benefits include medical, dental, vision and retirement benefits. Applications will be accepted on an ongoing basis.
Tundra Technical Solutions is among North America’s leading providers of Staffing and Consulting Services. Our success and our clients’ success are built on a foundation of service excellence. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Unincorporated LA County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: client provided property, including hardware (both of which may include data) entrusted to you from theft, loss or damage; return all portable client computer hardware in your possession (including the data contained therein) upon completion of the assignment, and; maintain the confidentiality of client proprietary, confidential, or non-public information. In addition, job duties require access to secure and protected client information technology systems and related data security obligations.
Key responsibilities:
Design and build GenAI/LLM solutions for test automation: test case generation from requirements and user stories, test data synthesis, and script generation.
Develop AI agents (agentic workflows) that create, execute and triage automated tests across UI, API and mobile layers.
Implement self-healing locators and intelligent test maintenance within the Trident framework.
Build RAG pipelines over NCLH requirements, test repositories and defect history to power QA copilots.
ML to defect prediction, risk-based test selection, flaky-test detection and failure root-cause clustering.
Integrate AI services into CI/CD (Azure DevOps / Jenkins / GitHub Actions) and test management tools (Jira, Xray).
Define evaluation metrics for AI outputs (accuracy, hallucination rate, effort saved) and report ROI to stakeholders.
Enforce responsible AI: data privacy (guest PII), security guardrails, prompt governance and model auditability.
Create reusable accelerators and documentation; mentor automation engineers on AI adoption.
Collaborate with the Trident lead, client architects and QA teams onshore and offshore.
Must-have skills:
Programming: Strong Python; working knowledge of Java or TypeScript
GenAI / LLMs: Hands-on with OpenAI / Azure OpenAI, Claude or Gemini APIs; prompt engineering
Frameworks: LangChain, LlamaIndex or Semantic Kernel; agent orchestration (LangGraph, CrewAI or similar)
RAG: Embeddings, vector databases (FAISS, Pinecone, Chroma, Azure AI Search), chunking and retrieval tuning
ML: scikit-learn, pandas; classification, clustering, NLP basics
Test automation: Selenium, Playwright or Cypress; REST API testing; BDD (Cucumber)
DevOps: Git, CI/CD pipelines, Docker; REST/FastAPI service development
Cloud: Azure or AWS AI services
The pay range that the employer in good faith reasonably expects to pay for this position is $32.36/hour - $50.56/hour. Our benefits include medical, dental, vision and retirement benefits. Applications will be accepted on an ongoing basis.
Tundra Technical Solutions is among North America’s leading providers of Staffing and Consulting Services. Our success and our clients’ success are built on a foundation of service excellence. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Unincorporated LA County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: client provided property, including hardware (both of which may include data) entrusted to you from theft, loss or damage; return all portable client computer hardware in your possession (including the data contained therein) upon completion of the assignment, and; maintain the confidentiality of client proprietary, confidential, or non-public information. In addition, job duties require access to secure and protected client information technology systems and related data security obligations.
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Entry Level AI Lead Jobs: Frequently Asked Questions
How do I get an entry level ai lead job?
Start by building a portfolio that shows hands-on work: a fine-tuned model, a prompt engineering project, or an AI-assisted tool you shipped. Employers hiring at this level look for demonstrated curiosity and technical foundation over years on a resume. Internship experience, open-source contributions, or a capstone project from a bootcamp or degree program all give you a concrete edge when applying.
Which companies hire entry level ai leads?
Companies hiring entry level ai leads right now include Capgemini, JPMorganChase, and C Spire, based on current listings on Migrate Mate as of November 2026. At this level, hiring tends to come from growth-stage tech companies, enterprise teams building out AI functions, and startups that need early contributors who can learn on the job.
Are there remote entry level ai lead jobs?
Yes, though on-site and hybrid postings are also common at this stage. About 9% of entry level ai lead openings are remote or hybrid as of November 2026, so candidates outside major tech hubs still have real options. Filtering by work setting on Migrate Mate lets you see which postings match your location preference.
Are these new grad ai lead jobs?
Yes, many of these postings are new grad and junior roles that explicitly welcome recent graduates with little or no professional experience. A new grad-friendly listing typically calls for zero to two years of experience, accepts internships or academic projects as proof of skill, and prioritizes a strong portfolio over a lengthy work history. These are the roles worth targeting first.
Which industries hire the most entry level ai leads?
Entry Level ai lead roles concentrate in Technology & Software, Energy, and Education, based on current listings on Migrate Mate as of November 2026. These sectors are expanding their AI functions quickly and are more willing to bring in junior talent they can develop, rather than waiting for candidates with years of specialized experience.