Generative AI Engineer – Enterprise Value Creation
🌍 Remote, USA
🎯 Full-time
🕐 Posted Recently
Job Description
Generative AI Engineer – Enterprise Value Creation Value Driven Solutions seeks a Contract Generative AI Engineer to pioneer enterprise-grade GenAI implementations that supercharge decision-making and creativity across PE portcos, from deal sourcing in financial services to content personalization in consumer brands. With up to 75% on-site immersion, you'll assess GenAI readiness—identifying opportunities like automated report generation or synthetic data for scarce training sets—and deliver secure, scalable solutions that boost productivity by 30-50%, translating to $20M+ in unlocked value through faster due diligence or enhanced customer engagement.
Core to the role is architecting retrieval-augmented generation (RAG) systems, fine-tuning open-weight LLMs (Llama-3, Mistral), and building custom pipelines with LangChain/LlamaIndex for private-cloud environments (e.g., Azure OpenAI, self-hosted via vLLM). You'll handle vector databases (Pinecone, FAISS), prompt chaining for multi-step reasoning, and evaluation frameworks (ROUGE, human-in-loop feedback) to ensure outputs are hallucination-free and aligned with business context. Partnering with legal/compliance teams, you'll embed safeguards for IP protection and bias detection, while quantifying success via adoption metrics and A/B tests presented to PE oversight groups.
This is for battle-tested engineers who have scaled GenAI from POC to enterprise, fostering cultural shifts in AI literacy. VDS offers a platform to experiment with cross-portco GenAI hubs, amplifying your contributions to our value-creation playbook. Key Responsibilities: • Lead GenAI strategy sessions, crafting 2-year roadmaps tied to portco goals (e.g., 40% faster FP&A reporting). • Engineer end-to-end systems: data ingestion, model orchestration, API gateways, and UI integrations (Streamlit/Gradio).
• Optimize for bolthires/efficiency: quantization, distillation, and inference on GPU clusters. • Facilitate vendor selections (e.g., Anthropic vs. open-source) and pilot rollouts with change management. • Document architectures and train users, ensuring 80%+ sustained adoption post-launch. Required
Qualifications: • Advanced degree in AI/CS; 4+ years in GenAI, with production deployments yielding measurable ROI. • Deep expertise in Transformers, Hugging Face, LoRA/PEFT for fine-tuning, and secure serving (Guardrails AI).
• Experience in regulated sectors, with focus on auditable, low-bias outputs. • Strong Python/DevOps skills (Docker, Kubernetes, Terraform). • Ability to evangelize GenAI value to non-technical audiences. Preferred
Experience: • Building co-pilots for executive workflows in PE/finance. • Synthetic data generation for privacy-preserving ML. • Integration with enterprise tools like bolthires 365 or Salesforce Einstein. To apply: Send CV + short note on the specific impact you’ve driven with GenAI in private-equity or industrial settings to [email protected].
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