About Quantiphi:

Quantiphi has seen 2.5x growth YoY since its inception in 2013, we don’t just innovate - we lead. Headquartered in Boston, with 4,000+ Quantiphi professionals across the globe. As an Elite/Premier Partner for Google Cloud, AWS, NVIDIA, Snowflake, and others, we’ve been recognized with:

• 17x Google Cloud Partner of the Year awards in the last 8 years.
• 3x AWS AI/ML award wins.
• 3x NVIDIA Partner of the Year titles.
• 2x Snowflake Partner of the Year awards.
• We have also garnered top analyst recognitions from Gartner, ISG, and Everest Group.
• We offer first-in-class industry solutions across Healthcare, Financial Services, Consumer Goods, Manufacturing, and more, powered by cutting-edge Generative AI and Agentic AI accelerators.
• We have been certified as a Great Place to Work for the third year in a row- 2021, 2022, 2023.

Be part of a trailblazing team that’s shaping the future of AI, ML, and cloud innovation. Your next big opportunity starts here!

For more details, visit: Website or LinkedIn Page.

Work Location: Bedminster, NJ

Roles and Responsibilities:

• 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.

Required Skills:

• 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 Skills:

• Prior experience in building AI COEs or AI strategy teams.
• Scrum Master certification or PMP certification.
• Experience with LLM fine-tuning (SFT, LoRA, QLoRA) and Gen AI use cases.
• Strong grasp of MLOps best practices, AI observability, and model deployment strategies.

What is in it for you:

• Be part of a team and company that has won NVIDIA's AI Services Partner of the Year three times in a row with an unparalleled track record of building production AI applications on DGX and Cloud GPUs.
• 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.
• Access to state-of-the-art GPU infrastructure on the cloud and on-premise.
• Be part of the fastest-growing AI-first digital transformation and engineering company in the world.