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Senior Consultant - AI

Job in Pocatello, Bannock County, Idaho, 83201, USA
Listing for: 3Cloud
Full Time position
Listed on 2026-06-19
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 125000 - 150000 USD Yearly USD 125000.00 150000.00 YEAR
Job Description & How to Apply Below

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Are you looking for a role that motivates and challenges you? Are you ready for an opportunity for growth? Do you want to work on teams where people roll up their sleeves to take on tough problems together, and regularly blow the doors off our clients with their outstanding teamwork? If you answered yes to those questions, 3

Cloud might just be for you!

At 3

Cloud, we hire people who aren’t afraid to experiment or fail. We hire people who are willing to give direct and candid feedback to their managers, leaders, and team members. We hire people who jump at those opportunities because they care about our collective growth and success. We hire people who challenge and hold each other accountable for living 3

Cloud’s core values because they know that it will result in amazing experiences and solutions for our clients and each other.

Senior Consultant in AI
, you will play a key role in designing, building, and delivering modern AI/ML solutions with a high degree of independence. You bring broad hands‑on expertise across AI technologies and thrive in environments that require creative problem‑solving, strong consulting skills, and the ability to translate complex client needs into scalable, high‑quality solutions.

This role is ideal for someone who enjoys building, collaborating, and shaping real‑world AI outcomes.

Responsibilities Technical Delivery
  • Build and deliver AI/ML and data solutions on Azure with minimal oversight.
  • Apply modern frameworks, tools, and engineering practices to design scalable solutions.
  • Ensure solutions meet expectations for performance, reliability, security, and quality.
Client Engagement
  • Contribute to discovery sessions and solution‑design workshops with technical insight.
  • Translate business requirements into actionable, well‑structured technical components.
  • Build trust with client stakeholders through thoughtful communication and high‑quality delivery.
Project & Delivery Management
  • Work independently within project teams to deliver assigned components on time and with quality.
  • Collaborate with architects and project leads to address technical and delivery challenges.
  • Support pre‑sales and proposal development by providing technical expertise.
Leadership & People Development
  • Share knowledge with peers and junior team members.
  • Contribute to practice assets including best practices, frameworks, and accelerators.
  • Stay current with emerging AI trends and proactively expand your skills.
Requirements Education & Experience
  • Bachelor’s degree in Computer Science, Information Technology, or a related field preferred (or equivalent experience).
  • 2–5 years of relevant experience with demonstrated ability to independently contribute across most areas of AI solution delivery.
  • Prior consulting or client‑facing experience preferred.

Proficiency across most of the following areas:

  • Agents & Orchestration – leveraging Semantic Kernel, Lang Chain, or similar frameworks to design intelligent workflows; applying tool/function calling, planner and agent‑based patterns, and workflow automation engines
  • Search & Retrieval – implementing solutions with vector databases such as Azure AI Search, Pinecone, FAISS, or Milvus; applying hybrid search methods, re‑ranking strategies, and selecting embedding models for accuracy and performance
  • Evaluation, Quality & LLM Operations – establishing offline and online evaluation approaches; using golden datasets, hallucination and groundedness validation, toxicity and safety testing; building telemetry and feedback loops; managing monitoring, deployment pipelines, and ongoing optimization of large language models
  • Responsible AI, Security & Privacy – incorporating practices such as threat modeling, privacy reviews, data minimization, safety guardrails, policy enforcement, auditability, and model risk management in line with GDPR and organizational standards
  • AI Platforms & Data Foundations – applying hands‑on experience with Azure AI services, Databricks, Azure OpenAI, and related modern data platforms
  • Cloud Engineering – designing with APIs, containers, microservices, and Dev Ops pipelines to deliver scalable, cloud‑native…
Position Requirements
10+ Years work experience
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