AI Delivery Manager

Miimansa

Gurugram District

On-site

INR 2,500,000 - 4,200,000

Full time

39 hours ago
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Job summary

Miimansa is looking for an AI Delivery Manager to lead customer engagements and oversee AI/NLP solution delivery. You will map client needs to AI-driven solutions and drive project execution.

The role requires strong understanding of AI/NLP, transformer-based architectures, and experience managing technical projects in health/fin-tech or AI consulting. You will be the primary client contact driving roadmap development and delivery.

Qualifications

  • Bachelor’s or higher degree in CS/AI/DS/Engineering.
  • 4+ years managing technical AI projects.
  • Experience in health/Fin-tech or AI consulting.
  • Experience with transformer models and enterprise AI platforms.
  • Strong client engagement and executive communication.

Responsibilities

  • Lead end-to-end AI project delivery from needs assessment to deployment.
  • Develop roadmaps and readiness assessments for projects.
  • Ensure on-time delivery while managing risks and changes.
  • Map customer needs to AI/NLP frameworks such as transformer models and LLMs.
  • Collaborate with cross-functional teams and use Agile/Scrum/Kanban.
  • Utilize JIRA/Confluence to track progress.

Skills

NLP concepts
AI project management
Client engagement
Agile methodologies
Technical communication

Education

Bachelor’s or higher in CS/AI/DS/Engineering

Tools

Hugging Face
OpenAI
BERT
GPT
LLMs
TensorFlow
PyTorch

Job description

Miimansa is developing cutting-edge technology to accelerate medical interventions and improve patient care. We bring together deep expertise in clinical data management, life sciences research, and AI to address key bottlenecks in experimental medicine. Our solutions enable clinical trial sponsors to design and execute trials more efficiently with reduced risks.

Role Overview

We are looking for an AI Delivery Manager to lead customer engagements and oversee the implementation of AI/NLP solutions. You will work closely with clients to understand their needs, map them to AI-driven solutions, and ensure seamless project execution.

The ideal candidate has a strong understanding of AI/NLP technologies, especially transformer-based architectures, and experience managing technical projects in health/fin-tech or AI-driven consulting. You will act as the primary point of contact for clients, driving roadmap development, requirement specifications, and overall solution delivery.

Key Responsibilities
Project & Solution Delivery
  • Lead end-to-end project execution from initial needs assessment to AI solution delivery.
  • Develop roadmaps, readiness assessments, and market research reports to guide project strategy.
  • Ensure on-time delivery while managing risks, dependencies, and change requests.
  • Map customer needs to AI/NLP frameworks such as transformer-based models, Hugging Face, OpenAI, BERT, GPT, and LLMs.
  • Stay up to date with AI advancements by reviewing publications and participating in technical workshops.
  • Work with MLOps tools, APIs, and data pipelines for enterprise AI deployment.
Client Engagement & Communication
  • Serve as the primary point of contact for customer engagements.
  • Communicate technical AI concepts to non-technical stakeholders and senior executives effectively.
  • Ensure alignment between business goals and AI solution capabilities.
Team & Process Management
  • Collaborate with cross-functional teams (data scientists, engineers, and business leads) to drive AI solution development.
  • Implement best practices in Agile, Scrum, or Kanban methodologies for AI project management.
  • Use JIRA, Confluence, or other project management tools to track progress.
Skills & Qualifications
  • Bachelor’s or higher degree in Computer Science, AI, Data Science, or Engineering, with a focus on Natural Language Processing (NLP).
  • 4+ years of experience in managing technical AI projects, preferably in health/Fin-tech or AI consulting.
  • Strong understanding of AI/NLP components used in enterprise applications.
  • Hands‑on knowledge of transformer-based models (BERT, GPT, LLaMA) and AI/ML platforms (Hugging Face, TensorFlow, PyTorch).
  • Experience with customer engagement & executive-level communication.
  • Strong problem-solving, analytical, and storytelling skills.
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