AI Engineer, Forward Deployed (Claude)
New
C
CollectivAI consulting
You must be physically located in the United States for the duration of the engagement.Full-TimeMiddle
Salary not disclosed
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Job Details
- Experience
- 4+ years of experience in software engineering, data engineering, or analytics engineering; 1+ years of hands-on experience building and deploying generative AI or LLM-powered solutions in production or Client environments.
- Required Skills
- PythonMicrosoft AzureTypeScript
Requirements
- Bachelor's degree from an accredited university in Computer Science, Data Science, Engineering, or a related field, or equivalent experience.
- 4+ years of experience in software engineering, data engineering, or analytics engineering.
- 1+ years of hands-on experience building and deploying generative AI or LLM-powered solutions in production or Client environments.
- Hands-on 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 working in at least one major cloud; 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, AI security, privacy, and compliance considerations.
Responsibilities
- Build agents, assistants, and knowledge search experiences using the Claude API and its tool-use, extended-thinking, structured-output, prompt-caching, and batch-processing capabilities.
- Build agentic workflows with the Claude Agent SDK, including multi-step orchestration, subagents, and human-in-the-loop controls.
- Build and deploy MCP servers connecting Claude to Client systems, including Microsoft Fabric, Power BI, SharePoint, CRM, and ERP platforms.
- Deploy Claude through the Anthropic API, Microsoft Foundry, Amazon Bedrock, or Google Vertex AI based on Client requirements.
- Configure Claude for Enterprise and build reusable Skills, plugins, and prompt libraries; use Claude Code and help Client engineering teams adopt it.
- Build RAG pipelines covering ingestion, chunking, embedding, vector and hybrid search, and grounding.
- Integrate Claude solutions with enterprise data platforms and systems using APIs, Azure Functions, and event-driven architectures.
- Build evaluation sets and test harnesses; implement logging, monitoring, tracing, and cost controls for deployed agents.
- Apply security, identity, and data governance controls, and use version control, CI/CD, and code review standards for AI solution code and configuration.
- Work with Client stakeholders to gather requirements, run working sessions, demonstrate progress, scope use cases, train users and engineers, and support adoption after go-live.
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