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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and deploying AI solutions using the Claude platform, with strong capabilities in integrating enterprise systems and building generative AI applications. Proficient in Python or TypeScript, with a solid understanding of cloud environments and data governance.
Highest-signal resume keywords
Claude API ExperienceGenerative AI Solution DeploymentPython or TypeScript ProficiencyMCP Server DevelopmentCloud Environment Experience
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 EngineeringRAG Solutions DevelopmentVector SearchDocument IngestionSystem Prompt WritingTool DefinitionCI/CD PracticesVersion Control
Soft Skills
Client-Facing ConsultingRequirement GatheringExpectation ManagementTraining and Support
Tools & Technologies
Claude PlatformMicrosoft FabricPower BISharePointCRM SystemsERP PlatformsAzure FunctionsEvent-Driven ArchitecturesAmazon BedrockGoogle Vertex AI
Certifications & Qualifications
Bachelor’s Degree in Computer ScienceBachelor’s Degree in Data ScienceBachelor’s Degree in Engineering
Industry Keywords
AI SolutionsGenerative AILLM-Powered SolutionsData GovernanceEnterprise Systems Integration
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, knowledge search experiences, and agentic workflows using Claude APIs and SDKs
- Build and deploy MCP servers connecting Claude to enterprise 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
- Configure and roll out Claude for Enterprise, including connectors, Projects, Skills, and admin controls
- Help Client engineering teams adopt Claude Code with appropriate workflows, permissions, and guardrails
- Build reusable Skills, plugins, and prompt libraries
- Build end-to-end RAG pipelines covering ingestion, chunking, embedding, vector and hybrid search, and grounding
- Connect solutions to Microsoft Fabric, Databricks, and other enterprise data platforms
- Integrate Claude solutions with APIs, Azure Functions, and event-driven architectures
- Build evaluation sets and test harnesses measuring quality, groundedness, hallucination rate, safety, latency, and cost
- Implement logging, monitoring, tracing, and cost controls
- Apply security, identity, and data governance controls
- Use version control, CI/CD, and code review standards
- Gather requirements, run working sessions, demo progress, and manage Client 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
- Work inside a Collectiv delivery team alongside a project lead, architects, and data engineers
Requirements
What you’ll need- US citizenship required under the client’s contract terms
- Must be physically located in the United States for the duration of the engagement
- 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
Benefits
Comp & perks- Fully remote work environment
- Quarterly in-person team Experiences
- Competitive compensation
- Clear growth trajectory
- Professional development opportunities
- 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
