Engagement Manager

Reposted 13 Days Ago
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Mumbai, Maharashtra, IND
In-Office
Senior level
Artificial Intelligence • Big Data • Machine Learning
The Role
The Engagement Manager leads AI and Generative AI client programs, ensuring project delivery, stakeholder engagement, and account growth while managing technical teams.
Summary Generated by Built In

While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth.
If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi!

Job Summary

We are seeking an experienced Engagement Manager – Generative AI to lead client programs focused on AI and GenAI solutions. This role is responsible for managing end-to-end project delivery, partnering closely with clients, and ensuring successful execution of AI-driven initiatives. You will serve as the key link between business stakeholders, technical teams, and leadership.

Key Responsibilities

Lead end-to-end client engagements for Generative AI and AI/ML initiatives

Partner with clients to understand business challenges and identify AI use cases

Drive project planning, execution, and on-time delivery within budget

Work closely with data scientists, AI engineers, and product teams to implement solutions

Convert business needs into well-defined technical requirements

Manage stakeholder communication and share regular project updates

Ensure high levels of client satisfaction and identify opportunities for account growth

Support pre-sales efforts including solution discussions, proposals, and estimations

Track risks, dependencies, and maintain delivery quality

Required Skills & Experience

8+ years of experience in IT services, consulting, or project delivery

Demonstrated experience managing AI, ML, or Generative AI projects

Strong understanding of LLMs, chatbots, NLP, and AI-powered automation

Experience working with cross-functional technical teams

Excellent client communication and stakeholder management abilities

Solid knowledge of Agile, Scrum, and project management methodologies

Ability to translate business requirements into technical solutions

Good to Have

Hands-on experience with GenAI platforms (OpenAI, Azure OpenAI, Google Vertex AI, etc.)

Understanding of Prompt Engineering, RAG, and LLM-based applications

Previous experience in consulting or client-facing delivery roles

PMP or Scrum certification

Soft Skills

Strong leadership and decision-making skills

Excellent communication and presentation abilities

Problem-solving mindset

Ability to thrive in a fast-paced, client-facing environment

If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!

Skills Required

  • 8+ years of experience in IT services, consulting, or project delivery
  • Demonstrated experience managing AI, ML, or Generative AI projects
  • Strong understanding of LLMs, chatbots, NLP, and AI-powered automation
  • Experience working with cross-functional technical teams
  • Excellent client communication and stakeholder management abilities
  • Solid knowledge of Agile, Scrum, and project management methodologies
  • Ability to translate business requirements into technical solutions

Quantiphi Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Quantiphi and has not been reviewed or approved by Quantiphi.

  • Wellbeing & Lifestyle Benefits Wellbeing initiatives such as monthly meeting-free AMA-Zen Days, health check-ups, and wellness counseling are designed to reduce burnout and support day-to-day balance. Broader wellness programs reinforce both physical and mental health.
  • Flexible Benefits Remote/hybrid options with flexible working hours provide meaningful autonomy over where and when work gets done. Flexible leave constructs, including sabbaticals and special day leaves, add practical adaptability to the package.
  • Parental & Family Support Paid parental leave in the U.S., alongside maternity and childcare support, signals solid backing for families. These family-oriented policies integrate with a wider health and wellness focus.

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The Company
HQ: Marlborough, MA
3,494 Employees
Year Founded: 2013

What We Do

Quantiphi is an award-winning AI-first digital engineering company driven by the desire to solve transformational problems at the heart of business. Quantiphi solves the toughest and complex business problems by combining deep industry experience, disciplined cloud, and data-engineering practices, and cutting-edge artificial intelligence research to achieve quantifiable business impact at unprecedented speed.

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