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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in building and deploying AI solutions using the Claude platform, with strong capabilities in Python or TypeScript, and experience in cloud environments such as Azure. Proficient in integrating enterprise systems and managing client relationships to translate business needs into effective AI use cases.
Highest-signal resume keywords
Claude API ExperiencePython or TypeScript SkillsRAG Solutions DevelopmentCloud Deployment ExperienceClient-Facing Consulting
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Software EngineeringData EngineeringAnalytics EngineeringGenerative AI SolutionsMCP Server DeploymentClaude Code ProficiencyRAG Pipeline DevelopmentVector Search ImplementationDocument IngestionCI/CD Practices
Soft Skills
Independent WorkClient Relationship ManagementRequirements GatheringTraining and Support
Tools & Technologies
Microsoft FabricPower BIDatabricksAmazon BedrockGoogle Vertex AIAzure FunctionsEvent-Driven Architectures
Certifications & Qualifications
Anthropic TrainingAzure Certifications
Industry Keywords
AI SolutionsData GovernanceSecurity and PrivacyCompliance ConsiderationsLLMOps Practices
Tech Stack
Tools & technologiesAWSAzureCloudERPPythonTypeScript
About the role
Key responsibilities & impact- Design, build, and ship production AI solutions on Anthropic's Claude platform
- Build agents, assistants, and knowledge search experiences using the Claude API
- 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 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
- Write and iterate on system prompts, tool definitions, and Agent Skills based on testing and user feedback
- Configure and roll out Claude for Enterprise, including connectors, Projects, Skills, and admin controls
- Use Claude Code to accelerate delivery and help Client engineering teams adopt it
- Build reusable Skills, plugins, and prompt libraries
- Build end-to-end RAG pipelines including 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 through APIs, Azure Functions, and event-driven architectures
- Build evaluation sets and test harnesses measuring answer quality, groundedness, hallucination rate, safety, latency, and cost
- Implement logging, monitoring, tracing, and cost controls for deployed agents
- Apply security, identity, and data governance controls
- Use version control, CI/CD, and code review standards
- Work directly with Client stakeholders to gather requirements, run working sessions, demo progress, and manage expectations
- Translate business problems into scoped AI use cases with clear success metrics
- Train Client users and engineers and support adoption after go-live
- Contribute reusable patterns, accelerators, and documentation to Collectiv's AI practice
Requirements
What you’ll need- 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 preferred, 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: Experience with LLMOps practices including evaluation frameworks, prompt management, and model monitoring
- Preferred: Familiarity with security, privacy, and compliance considerations for AI in regulated industries
- Preferred: Consulting experience across multiple Clients or industries
- Preferred: Anthropic training or certifications, or relevant Azure certifications
Benefits
Comp & perks- Fully remote work environment
- Quarterly in-person team experiences
- Competitive compensation
- Professional development opportunities
- Top-shelf benefits package
- Unlimited time off
- 100% covered health insurance, including medical, dental, and vision plans for you and your family
- Competitive 401(k) with a 4% match
- Educational assistance
- Tech stipend
- Discounts on various goods and services
