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Client Solutions Partner

Quantiphi

Salary not specified
Aug 14, 2025
Jackson Township, NJ, USA
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Quantiphi is looking for a Client Solutions Partner to help leading telecom clients harness the transformative power of AI and GenAI to solve complex challenges, improve operations, and create new value.

Requirements

  • Experience selling or delivering AI, ML, or GenAI solutions with a track record of success in enterprise environments.
  • Familiarity with telecom-specific AI applications like predictive maintenance, network optimization, customer service automation, and fraud detection.
  • Working knowledge of AI/ML frameworks and tools (e.g., TensorFlow, PyTorch, GPT models) and cloud-based AI solutions (e.g., GCP, AWS, Azure).
  • Background in data science or machine learning engineering.
  • Awareness of AI governance, ethics, and data privacy regulations, especially in telecom.

Responsibilities

  • Design and propose custom AI/GenAI solutions that drive measurable outcomes—such as customer experience transformation, predictive analytics, or network optimization.
  • Lead the full lifecycle of AI projects, including solution design, scoping, implementation, and post-deployment success measurement.
  • Work closely with internal engineering, product, and delivery teams to ensure alignment with client needs and solution feasibility.
  • Stay ahead of industry trends and emerging technologies in AI, GenAI, machine learning, and telecom.
  • Track and report on solution performance, demonstrating ROI and business impact.
  • Provide ongoing education and strategic support to ensure clients continue to realize value from AI investments.

Other

  • 7+ years in a client-facing role in the telecom industry, with strong knowledge of telecom operations and infrastructure.
  • Ability to bridge the gap between technical solutions and business value, communicating with both technical and executive audiences.
  • Strong project management skills and experience leading cross-functional teams.
  • Excellent interpersonal, communication, and presentation skills.
  • Bachelor’s degree in Telecommunications, Engineering, Business, Computer Science, or related field (or equivalent experience).