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AI Consultant

Remote / Online - Candidates ideally in
San Mateo, San Mateo County, California, 94404, USA
Listing for: Artech LLC
Remote/Work from Home position
Listed on 2026-06-04
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), Data Scientist, Machine Learning/ ML Engineer, Data Science Manager
Salary/Wage Range or Industry Benchmark: 90 - 100 USD Hourly USD 90.00 100.00 HOUR
Job Description & How to Apply Below
Job Title:

AI Consultant

Location:

Remote Position Salary Range: $90-$100 Introduction

We are seeking an AI Consultant (hands-on) to support rapid experimentation, proofs of concept (PoCs), and pilot AI solutions that accelerate priority business use cases. This role is focused on building quickly, testing ideas, and demonstrating value, leveraging existing internal platforms such as AWS, Databricks, Copilot studio & Power Automate rather than heavy production engineering.

Required

Skills & Qualifications
  • 4–7 years of experience in AI engineering, data engineering, AI enablement, or applied technology roles.
  • Hands-on experience working with AWS (including AWS Bedrock or similar managed AI services).
  • Working experience with Databricks (Genie spaces, Playground, etc.)
  • Strong Python and SQL skills; comfortable working in notebooks and lightweight scripts.
  • Experience building quick prototypes and explaining technical concepts clearly to non-technical stakeholders.
  • Ability to work independently and move quickly in a remote, fast-paced environment.
  • Prior work experience at client or in client's Industry

Applicants must be able to work directly for Artech on W2

Preferred

Skills & Qualifications
  • Familiarity with core AI/ML concepts (e.g., LLMs, embeddings, prompt engineering).
  • Exposure to agent-based AI patterns or evaluation frameworks.
  • Basic understanding of orchestration or automation tools.
  • Prior experience supporting early-stage AI pilots or innovation programs.
Day-to-Day Responsibilities
  • Build and iterate on quick-turn AI PoCs, pilots, and demos to validate ideas, workflows, and agent-based experiences.
  • Configure and test AI agents in a controlled, repeatable way, defining agent roles, prompts, tools, and lightweight orchestration.
  • Use AWS Bedrock & Agentcore to build AI agents with foundation models, agents, and knowledge integrations.
  • Leverage Databricks for AI agents, lightweight data exploration, preparation, and integration into AI experiments.
  • Partner closely with product, analytics, and business teams to shape ideas, demo solutions, gather feedback, and refine concepts.
  • Clearly document PoCs, agent behaviors, findings, and recommendations for future scale-up.
Company Benefits & Culture
  • Competitive salary and benefits package.
  • Remote work flexibility.
  • Opportunities for professional growth and development.

For immediate consideration please click APPLY to begin the screening process with Alex.

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