Expression of Interest (EOI)
Assistive Generative AI & Human-Centered AI Systems

1. Introduction & Background

Silvature approaches Generative AI as an assistive capability— one that augments human judgment rather than displacing it. The objective is operational gain that is durable, measurable, and aligned with institutional responsibility.

Generative AI systems must be governed, contextualized, and integrated with care. When applied thoughtfully, they improve productivity, accelerate analysis, and enhance customer and employee experience without eroding accountability.

This Expression of Interest invites experienced practitioners working at the intersection of AI capability, operational integration, and ethical deployment.

2. Scope of Potential Collaboration

Assistive Generative AI engagements may include:

Engagements prioritize reliability, explainability, and measurable benefit over experimental novelty.

3. Submission Requirements

To express interest, please prepare the following and submit via [eoi@silvature.com or the secure form below]:

  • A brief summary of your Generative AI experience
  • A current CV/resume or professional profile
  • Examples of applied (not experimental) GenAI work
  • Experience with governance, safety, or regulated environments

4. Customary Skills, Tools, and Qualifications

While engagement needs vary, the following capabilities are commonly sought:

Category Core Requirements Added Value
Skills & Expertise
  • Applied Generative AI development
  • Human-in-the-loop system design
  • Prompt engineering and evaluation
  • Operational KPI definition
  • AI governance frameworks
  • Model risk assessment
  • Enterprise AI adoption strategy
Platforms & Tools
  • OpenAI, Anthropic, Google Gemini APIs
  • Vector databases (Pinecone, Weaviate)
  • LangChain, LlamaIndex
  • Multi-model orchestration
  • Secure enterprise RAG pipelines
Qualifications
  • 5+ years in data, ML, or AI-adjacent roles
  • Production system experience
  • AI/ML certifications
  • Experience in regulated domains
  • Agile delivery leadership

Expression of Interest Form

This form allows us to understand your background and potential alignment. Submission does not constitute a commitment from either party.

Full Name
Contact Email
Phone Number
LinkedIn / Portfolio
Primary Focus
Years of Acquired Wisdom
Tools / Platforms
Certifications
Brief Statement of Interest