AI Forward Deployment Strategist; FDE

Overview

Prodapt is the largest specialized player in the Connectedness industry. As an AI-first strategic technology partner, Prodapt provides consulting, business reengineering, and managed services for the largest telecom and tech enterprises building networks and digital experiences of tomorrow. A Service Now-invested company, Prodapt has been recognized by Gartner as a Large, Telecom-Native, Regional IT Service Provider. A “Great Place To Work® Certified™” company, Prodapt employs over 6,000 technology and domain experts across the Americas, Europe, India, Africa, & Japan.

Prodapt is part of the 130-year-old business conglomerate The Jhaver Group, which employs over 32,000 people across 80+ locations globally.

We are seeking a highly skilled and strategic AI Forward Deployment Engineer to architect, develop, and maintain our advanced AI automation infrastructure. This pivotal role requires expert-level proficiency in building scalable, robust AI frameworks. You will be responsible for defining the quality strategy, mentoring junior engineers, and ensuring high-quality software delivery through process optimization and comprehensive progress reporting.

Your Focus Area :
Model Optimization, Fine-Tuning & Strategic AI

You represent the pinnacle of Applied AI engineering. You are not just using APIs; you are optimizing the models themselves. You understand the mathematics behind the attention mechanism, you know how to squeeze performance out of GPUs, and you can customize models for specific domains. You provide the high-level technical vision and handle the most difficult edge cases. You define technical standards, lead high-impact AI initiatives, and advise C-level leaders.

• Key Responsibilities: Model Fine-Tuning:
  Implement PEFT (Parameter-Efficient Fine-Tuning), LoRA, and QLoRA to adapt open-source models (Llama 3, Mistral) to specific client domains.
• Optimization & Quantization:
  Perform model quantization to reduce inference costs and latency without sacrificing quality. Manage Dense Vectors and embedding optimizations.
• State-of-the-Art Exploration:
  Continuously research and implement the latest advancements (e.g., State Space Models, Long-Context optimizations) into client deliverables.
• Strategic Consulting:
  Act as a trusted advisor to C-level client executives, defining the "Art of the Possible" and guiding long-term AI roadmaps.
• Thought Leadership:
  Present thought leadership in industry forums.

• Deep Learning:
  PyTorch/Tensor Flow, Transformers architecture internals, Attention mechanisms.
• Model Ops:
  Serving custom models (vLLM, TGI), GPU memory management, Quantization techniques (GGUF, AWQ).
• Advanced Data:
  Training data curation, synthetic data generation, RLHF concepts.
• Tech Leadership:
  Ability to define the technical culture and set standards for the entire FDE organization.

• Executive communication and ability to influence C‑level leaders.
• Thought leadership and industry presence (conferences, playbooks, forums).
• Cross‑org leadership and conflict resolution.
• Ability to define long‑term AI vision and cultural standards.
• Strategic decision‑making balancing cost, risk, and performance.

• Bachelor’s degree in Computer Science, Engineering, Information Technology, or related experience in the field.
• Proven experience in data-related projects.
• Strong understanding of data management, analytics, and data engineering concepts.