Lead AI Engineer 4D

3502 Servicios Internacionales De Atencion Al Cliente, Limitada; Hyderabad; On-site; INR 900,000 - 1,500,000; Full time

Job summary

Genpact is seeking a Junior Forward Deployed AI Engineer to support rapid prototyping and PoC delivery of AI-powered solutions across global Supply Chain and Manufacturing functions. You will embed with frontline teams at sites to understand challenges and translate them into working AI-enabled prototypes.

You will work closely with senior engineers to build Python-based solutions, optimize RAG pipelines, and ensure production-readiness through iterative development and collaboration with

Qualifications

• Bachelor's degree in Computer Science, Data Science, Software Engineering, or a related technical discipline.
• Professional experience in software engineering, data engineering, or digital technology delivery.
• Robust baseline experience writing Python (Pandas, NumPy, requests) and a strong understanding of software engineering fundamentals (OOP, REST APIs).
• Hands-on AI experience (could be academic projects).

Responsibilities

• Frontline engagement & discovery during site visits with operations teams.
• Translate user feedback into structured user stories and functional specs.
• Active Scrum participation: maintain backlog and help with sprint planning.
• Develop, test, and refine AI-enabled prototypes in Python and related tools.

Skills

Python programming

REST APIs

OOP

Data wrangling

Education

Bachelor's degree in CS/DS/SE

Tools

Pandas

NumPy

Requests

Job description

Lead AI Engineer

Ready to turn bold ideas into real-world impact?

At Genpact, we don't just adapt to change, we lead it. AI and digital innovation are transforming the way businesses work, and we're at the forefront of it. Genpact's AI Gigafactory , our industry-first accelerator, exemplifies how we scale advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. Whether tackling complex challenges through large-scale models or agentic AI , our breakthrough solutions tackle companies' most complex challenges.

If you thrive in a fast-moving, innovation-driven environment, love building and deploying cutting-edge AI solutions, and want to push the boundaries of what's possible, this is your moment.

Genpact (NYSE: G) is an agentic and advanced technology solutions company. We leverage process intelligence and artificial intelligence to deliver measurable outcomes. With a strong partner ecosystem and decades of client trust, we provide innovative solutions that transform how businesses run. Powered by a team with an active learning mindset and client centricity at its core, we deliver lasting value for the world's leading enterprises.

Get to know us at genpact.com and on LinkedIn , YouTube , X , and Facebook .

Job Description

Supply Chain & Manufacturing Junior Forward Deployed AI Engineer

Role Overview

We are seeking an energetic and technically sharp Junior Forward Deployed AI Engineer to support the rapid prototyping, discovery, and proof-of-concept (PoC) delivery of AI-powered solutions across our global Supply Chain and Manufacturing functions. This is a dynamic, fast-paced role where you will work alongside senior engineers to bridge the gap between AI development and real-world shop floor operations. You will spend time embedding directly with frontline teams-visiting manufacturing sites and warehouses-to understand their day-to-day challenges, and then turn those insights into working, AI-enabled software prototypes. The ideal candidate is a proactive builder who is comfortable working with Python, eager to learn cutting-edge GenAI frameworks, and excited about collaborating directly with operational business teams.

Key Responsibilities

Frontline Engagement & Discovery

• Frontline Shadowing: Participate in site visits and shadow frontline teams (Logistics, Manufacturing, Procurement) to understand operational bottlenecks first-hand.
• Requirements Translation: Support senior engineers in translating user feedback and "messy" real-world problems into structured user stories, functional specs, and process flows.
• Active Scrum Participant: Maintain and update the team's agile backlog, actively participate in daily standups, and assist in coordinating sprint planning.

Rapid AI Prototyping & Development

• Hands-on Coding: Write clean, documented, and functional Python code to build, refine, and test AI-enabled prototypes.
• Support RAG & Agentic Systems: Work under the guidance of senior engineers to construct and tune Retrieval-Augmented Generation (RAG) pipelines, semantic search indices, and multi-agent system workflows.
• Iterate & Refine: Actively modify prototypes based on immediate feedback from factory floor workers and warehouse operators.
• Adopt Best Practices: Learn and apply enterprise software development standards to ensure prototype code is structured for eventual production handoff.

Systems Integration & Data Engineering

• API Configuration: Assist in building and configuring APIs to connect AI applications to shop floor platforms (e.g., Poka, Weaver) and document repositories.
• Data Wrangling: Clean, structure, and prepare unstructured documents, telemetry feeds, and SQL database exports for ingestion into AI systems.

Typical Use Cases

• Standard Operating Procedure (SOP) Assistants designed to help operators look up technical guidelines hands-free.
• Manufacturing Knowledge Assistants that index equipment manuals to speed up machine maintenance.
• Procurement Intelligence Tools that extract and summarize key terms from supplier contracts.
• Workflow Automation Tools to help administrative logistics teams auto-generate shift handover reports.

Career Growth:

• Enjoys solving varied, real-world problems.
• Likes interacting with customers and understanding business needs.
• Wants to work on cutting-edge AI applications rather than purely research.
• Thrives in fast-paced environments where you own projects from design to deployment.

Required Qualifications

• Education: Bachelor's degree in Computer Science, Data Science, Software Engineering, or a related technical discipline.
• Experience: professional experience in software engineering, data engineering, or digital technology delivery.
• Coding Foundation: Robust baseline experience writing Python (Pandas, NumPy, requests) and a strong understanding of software engineering fundamentals (OOP, REST APIs).
• AI Familiarity: Hands-on experience (which can include academic project