
1001 - 5000 employees
Founded 2013
🤖 Artificial Intelligence
🏢 Enterprise
📚 Education
💰 Series A on 2019-12
Artificial Intelligence • Enterprise • Education
Quantiphi is a leading AI-first digital engineering company that leverages a decade of industry expertise to empower businesses through scalable, secure, and adaptable AI solutions. By integrating cutting-edge technology with real-world applications, Quantiphi transforms organizations across various sectors including healthcare, finance, education, and retail. Their services span AI applications, data analytics, cloud infrastructure modernization, and custom AI implementations. Quantiphi partners with technology giants like AWS, Google Cloud, NVIDIA, and others to drive AI adoption and deliver transformational opportunities for enterprises.
🕒 March 27
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1001 - 5000 employees
Founded 2013
🤖 Artificial Intelligence
🏢 Enterprise
📚 Education
💰 Series A on 2019-12
Artificial Intelligence • Enterprise • Education
Quantiphi is a leading AI-first digital engineering company that leverages a decade of industry expertise to empower businesses through scalable, secure, and adaptable AI solutions. By integrating cutting-edge technology with real-world applications, Quantiphi transforms organizations across various sectors including healthcare, finance, education, and retail. Their services span AI applications, data analytics, cloud infrastructure modernization, and custom AI implementations. Quantiphi partners with technology giants like AWS, Google Cloud, NVIDIA, and others to drive AI adoption and deliver transformational opportunities for enterprises.
• Lead end-to-end execution of large-scale AI/ML programs, ensuring timely delivery of production-grade LLM, RAG, and Agentic AI solutions. • Define and drive program roadmaps, including PI planning, milestones, KPIs, and deliverables across multiple workstreams. • Own program governance, risk management, and executive-level reporting on progress, outcomes, and ROI. • Ensure strong alignment between technical delivery and client business objectives. • Drive the design and implementation of scalable GenAI solutions, including RAG pipelines, multi-agent systems, and agentic workflows. • Partner with architects and engineering teams to define infrastructure strategies, including GPU optimization, LLM hosting, and inference pipelines. • Guide architectural decisions across model deployment, fine-tuning, and MLOps integration. • Ensure adoption of best practices in AI governance, security, and responsible AI. • Oversee implementation of modern AI stacks including LangChain, NVIDIA NeMo, and Triton Inference Server. • Provide direction on vector databases (e.g., FAISS, Pinecone, Weaviate, ChromaDB) and retrieval strategies. • Guide optimization techniques such as quantization (GPTQ, AWQ), LoRA-based fine-tuning, and multi-GPU scaling. • Support evaluation frameworks for model performance, accuracy, and efficiency. • Act as the primary point of contact for client stakeholders, ensuring delivery aligns with contractual expectations and business goals. • Build strong executive relationships and drive customer satisfaction, retention, and account growth. • Lead cross-functional collaboration across data scientists, ML engineers, software developers, and consultants. • Lead, mentor, and scale high-performing global teams. • Foster a culture of innovation, accountability, and continuous learning. • Support career development and upskilling of team members in emerging AI technologies.
• 10+ years of experience in program or project management, with at least 5+ years leading AI/ML or data-driven initiatives. • Proven track record managing complex, multi-workstream programs with global teams. • Strong leadership, stakeholder management, and executive communication skills. • Experience delivering enterprise-scale AI solutions with measurable business impact. • Hands-on experience with cloud platforms: GCP, AWS, or Azure (LLM hosting, GPU-based inference, cost optimization). • Strong experience with LLM ecosystems (e.g., Llama, GPT, Claude, Mistral). • Deep expertise in: RAG (Retrieval-Augmented Generation) and Agentic AI systems. • Vector databases (FAISS, Pinecone, Weaviate, ChromaDB). • LLM fine-tuning techniques (LoRA, quantization, distillation). • Familiarity with: Multi-GPU scaling, model optimization, and inference pipelines. • Frameworks such as LangChain, NVIDIA NeMo, Triton Inference Server. • Understanding of AI governance, ethics, explainability, and risk mitigation frameworks. • Bachelor’s degree in Computer Science, Information Technology, or related field. • MBA or advanced degree is a strong plus.
• First-in-class industry solutions across Healthcare, Financial Services, Consumer Goods, Manufacturing, and more, powered by cutting-edge Generative AI and Agentic AI accelerators. • Upskill and discover your potential as you solve complex challenges in cutting-edge areas of technology alongside passionate, talented colleagues. • Work where innovation happens - work with disruptive innovators in a research-focused organization with 60+ patents filed across various disciplines. • Stay ahead of the curve—immerse yourself in breakthrough AI, ML, data, and cloud technologies and gain exposure working with Fortune 500 companies. • Career development and upskilling opportunities in emerging AI technologies.
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