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Collectiv
Collectiv
51 – 200 Employees
Skilled Worker Visa SponsorConsultingHealthcareMarketing
Collectiv is a Microsoft consulting firm focused on data architecture, analytics, and AI integration. Its teams work with organizations on data strategy and implementation using Microsoft technologies including Azure, Fabric, Power BI, and Copilot. Services also cover planning and forecasting, along with staff augmentation, supporting clients as they build and manage data initiatives across the Microsoft Data Stack.
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Forward-Deployed AI Engineer

Build production Claude agents, retrieval-augmented generation (RAG) pipelines, and MCP integrations at Collectiv, a boutique analytics, planning, and AI consulting firm. Work with enterprise clients to deliver secure AI solutions with measurable results.

USUnited StatesILIllinoisRemoteFull-timeMiddleSeniorEnglish RequiredAI EngineerMachine Learning Engineer
AWSAzureCloudERPPythonTypeScript

Description

  • Design, build, and launch production AI solutions using Anthropic’s Claude platform.
  • Create agents, assistants, and knowledge search tools with the Claude API.
  • Develop agentic workflows with the Claude Agent SDK, including multi-step orchestration, subagents, and human review controls.
  • Build and deploy MCP servers that connect Claude to client systems such as Microsoft Fabric, Power BI, SharePoint, CRM, and ERP platforms.
  • Deploy Claude through the Anthropic API, Microsoft Foundry, Amazon Bedrock, or Google Vertex AI.
  • Refine system prompts, tool definitions, and Agent Skills through testing and user feedback.
  • Configure and roll out Claude for Enterprise, including connectors, Projects, Skills, and administrative controls.
  • Use Claude Code to speed up delivery and support its adoption by client engineering teams.
  • Create reusable Skills, plugins, and prompt libraries.
  • Build complete RAG pipelines covering data ingestion, chunking, embedding, vector and hybrid search, and grounding.
  • Connect Claude solutions to Microsoft Fabric, Databricks, and other enterprise data platforms.
  • Integrate Claude solutions with enterprise systems using APIs, Azure Functions, and event-driven architectures.
  • Create evaluation sets and test harnesses to measure answer quality, grounding, hallucination rates, safety, latency, and cost.
  • Add logging, monitoring, tracing, and cost controls to deployed agents.
  • Apply security, identity, and data governance controls.
  • Follow version control, CI/CD, and code review practices.
  • Work with client stakeholders to gather requirements, lead working sessions, demonstrate progress, and align expectations.
  • Turn business problems into scoped AI use cases with clear success measures.
  • Train client users and engineers, and support adoption after launch.
  • Contribute reusable patterns, accelerators, and documentation to Collectiv’s AI practice.

Requirements

  • Bachelor’s degree from an accredited university in computer science, data science, engineering, or a related field, or equivalent experience.
  • At least four years of experience in software engineering, data engineering, or analytics engineering.
  • At least one year of hands-on experience building and deploying generative AI or LLM solutions in production or client environments.
  • Practical experience with the Claude API, including tool use.
  • Experience building or deploying MCP servers.
  • Hands-on experience with Claude Code or the Claude Agent SDK.
  • Strong Python or TypeScript skills.
  • Experience building RAG solutions, including vector search and document ingestion.
  • Experience with at least one major cloud platform; Azure is preferred, with AWS or Google Cloud also valued.
  • Ability to work independently in a client-facing consulting role.
  • Preferred: Experience deploying Claude through Microsoft Foundry, Amazon Bedrock, or Google Vertex AI.
  • Preferred: Experience rolling out Claude for Enterprise or Claude for Work to business users.
  • Preferred: Experience with Microsoft Fabric, Databricks, or Power BI.
  • Preferred: Familiarity with LLMOps practices such as evaluation frameworks, prompt management, and model monitoring.
  • Preferred: Knowledge of AI security, privacy, and compliance in regulated industries.
  • Preferred: Consulting experience with multiple clients or across multiple industries.
  • Preferred: Anthropic training or certifications, or relevant Azure certifications.

Benefits

  • Fully remote work.
  • Quarterly in-person team events.
  • Competitive compensation.
  • Professional development opportunities.
  • Comprehensive benefits package.
  • Unlimited paid time off.
  • Health insurance fully covered for you and your family, including medical, dental, and vision.
  • 401(k) plan with a 4% employer match.
  • Educational assistance.
  • Technology stipend.
  • Discounts on a range of goods and services.

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