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3Cloud · 3 days ago

Senior Consultant - AI

United States

Full-time

Remote

Mid, Senior Level

$110K/yr - $165K/yr

2+ years exp

3Cloud is a company that values teamwork and innovation, seeking a Senior Consultant in AI to join their team. In this role, you will design, build, and deliver AI/ML solutions with minimal oversight while engaging with clients to translate their needs into scalable solutions.

Technical Support

No H1B

Responsibilities

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

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

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

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

Qualification

AI/ML solutionsAzure AI servicesData pipelinesSemantic KernelPower BIDevOps pipelinesCommunicationProblem-solving skillsCollaboration skills

Required

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, LangChain, 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 DevOps pipelines to deliver scalable, cloud-native solutions

Data Integration & Governance – developing and managing data pipelines; applying quality controls, metadata practices, and master data management approaches

Analytics & Visualization – delivering insights with Power BI and other visualization tools

Proficiency with modern development tools (e.g., GitHub Copilot, Cursor)

Ability to work with little to no oversight while delivering assigned work

Strong communication and collaboration skills within cross-functional teams

Ability to translate technical work into business value during client interactions

Ability to thrive in a fast-paced, client-focused environment

Self-starter with strong problem-solving skills and curiosity to learn

Balance autonomy with teamwork, contributing reliably to larger project goals