Technical Program Manager

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October 1

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Quantiphi

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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.

1001 - 5000 employees

Founded 2013

🤖 Artificial Intelligence

🏢 Enterprise

📚 Education

💰 Series A on 2019-12

📋 Description

• Define and drive the Gen AI COE roadmap, ensuring alignment with business objectives. • Develop and execute project plans for AI infrastructure setup, fine-tuning open-source LLMs, Q&A bot UI, and natural language querying. • Establish and track KPIs, SLAs, and success metrics for AI-driven solutions. • Ensure on-time delivery, scope adherence, and risk mitigation in AI projects. • Lead cross-functional teams (ML engineers, software engineers, DevOps, data scientists) for effective AI execution. • Act as a trusted advisor to enterprise clients, ensuring continuous value delivery and adoption of Gen AI solutions. • Identify opportunities for expansion and additional AI services. • Manage stakeholder relationships and set clear expectations for AI project outcomes. • Facilitate Agile ceremonies and collaborate with engineering, MLOps, and product teams for seamless AI development. • Coordinate infrastructure provisioning, model deployment, and performance optimization with DevOps. • Maintain and refine technical documentation, backlogs, and sprint reports. • Oversee AI model deployment on cloud platforms (AWS, GCP, Azure) ensuring scalability, security, and cost optimization. • Guide teams on AI pipeline automation, CI/CD for ML models, and ML governance best practices. • Ensure regulatory compliance and data privacy adherence in AI-driven HCLS solutions.

🎯 Requirements

• Bachelor’s/Master’s degree in Computer Science, AI/ML, Data Science, or related technical field. • 10+ years in technical program management, AI/ML product delivery, or cloud-based AI solutions. • Deep understanding of AI/ML infrastructure (training & inference). • Proficiency in cloud AI platforms (AWS SageMaker or GCP Vertex AI or Azure ML). • Knowledge of natural language processing (NLP), prompt engineering, RAG, and Gen AI architectures. • Proven ability to lead large-scale AI/ML projects with cross-functional teams. • Strong stakeholder management and ability to translate AI concepts into business impact. • Expertise in Agile methodologies, Jira, and backlog management. • Experience managing budgets, contracts, and vendor relationships in AI/ML projects. • Excellent problem-solving, communication, and leadership skills. • Ability to manage uncertainty in AI research & development. • Strong analytical mindset with a customer-first approach. • Preferred: Prior experience in building AI COEs or AI strategy teams. • Preferred: Scrum Master certification or PMP certification. • Preferred: Experience with LLM fine-tuning (SFT, LoRA, QLoRA) and Gen AI use cases. • Preferred: Strong grasp of MLOps best practices, AI observability, and model deployment strategies.

🏖️ Benefits

• Access to state-of-the-art GPU infrastructure on the cloud and on-premise. • Strong peer learning which will accelerate your learning curve across Applied AI, GPU Computing and other softer aspects such as technical communication. • Exposure to working with highly experienced AI leaders at Fortune 500 companies and innovative market disruptors looking to transform their business with Generative AI. • Ample opportunities to learn, grow and interact with colleagues from varied experience and backgrounds around the globe. • Hybrid work culture and being part of a fast-growing AI-first company.