AI Technical Lead
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Job Description
AI Technical Lead guiding enterprise AI roadmaps, secure integrations, and AI-accelerated delivery. Building client value and organization-wide capability at VeilSun.
Responsibilities:
- 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:
- 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:
- 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
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