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AI Technical Lead
VeilSun, Inc.. Serve as the technical expert on enterprise AI roadmap and AI service package engagements .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in AI solution delivery, including model selection, API integration, and data governance. Proven ability to lead client engagements, translate AI capabilities into actionable roadmaps, and deliver technical training and workshops.
Highest-signal resume keywords
AI Solution DeliveryLLM API ExperiencePython or TypeScript ProficiencyData Governance KnowledgeClient Engagement Leadership
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
AI Model SelectionAPI IntegrationPrompt DesignMCP Server DevelopmentData MappingTesting and EvaluationAI AnalyticsLow-Code DevelopmentAI GovernanceAgile and Waterfall Methodologies
Soft Skills
Strong CommunicationCoaching and MentoringClient Relationship Management
Tools & Technologies
RapidMiner AI StudioAI GraphQuickbaseMendixAnthropicOpenAIAzure OpenAIGoogle AI
Industry Keywords
AI RoadmapData QualitySecurity PracticesTechnical ConsultingSoftware Development
Tech Stack
Tools & technologiesAzurePythonTypeScript
About the role
Key responsibilities & impact- Serve as the technical expert on enterprise AI roadmap and AI service package engagements
- Lead client discovery and achieve documented agreement on AI use cases, success measures, and boundaries before development
- Translate AI possibilities into practical, phased roadmaps
- Advise clients on AI capabilities, limitations, cost, accuracy, security, and speed
- Partner with Solution Engineering during sales-to-delivery handoff
- Design and build AI solutions involving model selection, API integration, prompt and agent design, and MCP server development
- Connect AI securely to client data and schemas with attention to data quality, access controls, and governance
- Integrate AI capabilities with Quickbase, Mendix, and custom web applications
- Serve as primary technical authority and make architecture decisions on assigned engagements
- Establish AI development standards, reusable patterns, and evaluation practices
- Validate AI output quality through testing and evaluation, keeping a human in the loop where appropriate
- Redesign delivery methods to compress requirements, data mapping, code generation, testing, and documentation effort
- Prove AI-accelerated approaches on real client projects, measure results, and make successful approaches repeatable
- Partner with PMO and Delivery Team Managers on estimating, staffing, and quality practices
- Build and share tools, prompts, workflows, and templates for AI-accelerated development
- Help develop VeilSun’s internal MCP integration between Claude and Quickbase
- Build organizational depth in RapidMiner AI Studio and AI Graph
- Lead workshops, coaching, mentoring, pairing, reviews, and hands-on AI enablement for Developers, PMs, and leadership
- Contribute to the practice knowledge base
- Identify and escalate technical, data, security, scope, and client relationship risks
- Meet billable utilization targets and size AI workstreams accurately
- Identify AI use cases and account growth opportunities
- Support pre-sales technical discovery, AI readiness assessments, and proof-of-concept development
Requirements
What you’ll need- 5+ years of software development or technical consulting experience
- 1+ years of hands-on AI solution delivery
- Hands-on experience with LLM APIs such as Anthropic, OpenAI, Azure OpenAI, or Google, including prompt design, tool use, and agent patterns
- Experience building or integrating MCP servers and connecting AI to enterprise data sources, APIs, and database schemas
- Proficiency in at least one language commonly used for AI integration, such as Python or TypeScript
- Experience with data science, analytics, or AI modeling platforms
- Willingness to build depth on RapidMiner AI Studio and AI Graph; experience with similar tools is acceptable
- Experience with low-code platforms, especially Quickbase or Mendix, is a strong plus
- Demonstrated experience leading client engagements from discovery through delivery in a consulting environment
- Experience designing and delivering technical training, workshops, or enablement programs
- Working knowledge of AI governance, data privacy, and security practices
- Familiarity with Agile and Waterfall delivery methodologies
- Strong written and verbal communication across technical and non-technical audiences
- Must be authorized to work in the United States without sponsorship
- Must currently reside in the United States
Benefits
Comp & perks- Medical, dental, vision, life and supplemental insurance
- Short- and long-term disability
- Eligibility to participate in company stock or equity programs
- 401(k)
- Paid vacation
- Sick time
- Reasonable accommodations throughout the application and hiring process