Principal AI Engineer 3

Role Overview

Frontline Engagement & Discovery

Systems Integration & Data Engineering

Typical Use Cases

Career Growth:

Required Qualifications

• Education: Bachelor’s degree in Computer Science, Engineering, Information Systems, Supply Chain, Manufacturing, or a highly quantitative field.
• Experience: professional experience delivering software, advanced analytics, or digital transformation initiatives with hands-on experience building GenAI solutions.
• Domain Expertise: Experience working inside Supply Chain, Manufacturing, Operations, Logistics, or Industrial environments
• Core Software & AI Stack:
• Production-grade Python and clean coding practices
• Hands-on experience with modern AI/ML tooling: LLM APIs (GPT-4, Gemini, Claude), vector databases, and frameworks like LangChain, LangGraph, or LlamaIndex
• Experience with cloud platforms (e.g., Azure OpenAI, Google Cloud/Vertex AI)
• Core Data Skills: Strong SQL skills with the ability to query, manipulate, and validate complex enterprise datasets
• Delivery & Soft Skills: Superb communication and facilitation skills. Comfortable walking a manufacturing floor, gaining trust from operators, and presenting technical architectures to executive leadership
• .
• Certifications
• AI/ML Ops, AI Architecture - Agentic & Integration, AI Architecture - Data & Model, AI Platform Engineering, AI Transformation
• Language
• English
• Language Proficiency -
• Proficient - C2
• Additional Job Location -
• Job Type
• Regular
• Master Skill List -
• Advanced Analytics / AI / ML
• Remote Type -
• Office
• Work Shift -
• Flex Time (India)
• Why join Genpact?
• Lead AI-powered transformation – Drive innovation and solve real-world business challenges that matter
• Make an impact – Help global enterprises solve business challenges that matter
• Accelerate your career – Gain hands-on experience, mentorship, and world-class learning opportunities to stay ahead
• Work with the best – Join 140,000+ bold thinkers and problem-solvers who push boundaries every day
• Thrive in a values-driven culture – Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress
• Come join the 140,000+ coders, tech shapers, and growth makers at Genpact and take your career in the only direction that matters: Up.
• Let’s build tomorrow together.
• Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation.
• Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training.
• professional experience delivering software, advanced analytics, or digital transformation initiatives with hands-on experience building GenAI solutions.

Preferred Qualifications

• Hands-on experience with enterprise ERP systems (SAP) and industrial systems (Poka, Weaver, MES)
• Experience with AI Evaluation and Guardrail frameworks (e.g., Ragas, TruLens, Phoenix) to systematically evaluate model outputs
• Strong engineering discipline: familiarity with version control (Git/GitHub), containerization (Docker), and basic CI/CD workflows
• Experience with data pipelines/analytics platforms (e.g., Snowflake, Databricks, Apache Spark, Airflow)
• Success Measures
• Velocity & Outcome Ownership: Swiftly converting ambiguous user pain points into functional, de-risked AI prototypes
• High Adoption & Smooth Handoff: High transition rate of validated prototype code to core engineering teams for full-scale production
• Measurable Business Value: Delivering clear, quantifiable improvements to operational metrics (e.g., reduction in line downtime, faster SOP lookups, improved logistics query speed).

Success Measures

Required Skills

• AI/ML Ops, AI Architecture - Agentic & Integration, AI Architecture - Data & Model, AI Platform Engineering, AI Transformation
• Language
• English
• Language Proficiency -
• Proficient - C2
• Additional Job Location -
• Job Type
• Regular
• Master Skill List -
• Advanced Analytics / AI / ML
• Remote Type -
• Office
• Work Shift -
• Flex Time (India)
• Why join Genpact? • Lead AI-powered transformation – Drive innovation and solve real-world business challenges that matter • Make an impact – Help global enterprises solve business challenges that matter • Accelerate your career – Gain hands-on experience, mentorship, and world-class learning opportunities to stay ahead • Work with the best – Join 140,000+ bold thinkers and problem-solvers who push boundaries every day • Thrive in a values-driven culture – Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress Come join the 140,000+ coders, tech shapers, and growth makers at Genpact and take your career in the only direction that matters: Up. Let’s build tomorrow together. Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training.

Responsibilities

• On-Site Discovery: Partner directly with frontline Supply Chain, Manufacturing, Logistics, Procurement, and Planning teams to intimately map out operational bottlenecks
• Translate Ambiguity: Facilitate discovery workshops and process reviews to translate messy business problems into clean user stories, functional specs, and technical data models
• Own the Agile Lifecycle: Act as the Scrum Master for your prototyping work, managing backlog prioritization, rapid feedback iterations, risks, dependencies, and assumptions.
• Code & Deploy: Design, write, and deploy robust working prototypes using Python and modern cloud technologies
• Build Advanced AI Architectures: Construct enterprise-grade Retrieval-Augmented Generation (RAG) pipelines, semantic search engines, and multi-agent system workflows
• Design for Scale: Focus on engineering prototypes that are "designed for scale" to ensure seamless code transition and handoff to core engineering teams
• Reusable Tooling: Build reusable AI components, libraries, and accelerators to streamline future supply chain use cases
• Platform Connections: Design and build API integrations connecting AI applications directly to shop-floor platforms (e.g., Poka, Weaver, MES)
• Enterprise Infrastructure: Integrate AI systems with core enterprise platforms (SAP ERP), document repositories, and knowledge bases
• Data Pipelines: Ingest, clean, structure, and connect messy, real-world data from databases, telemetry streams, and unstructured files
• Cross-Functional Security: Partner with Security, Data, and Architecture teams to ensure robust, compliant, and secure integration patterns.
• Intelligent Manufacturing Knowledge Assistants integrated with platforms like Poka and Weaver to assist line operators.
• AI-Powered Shopfloor Voice Assistants & hands-free Standard Operating Procedure (SOP) guidance.
• Supplier & Procurement Intelligence Solutions utilizing agentic workflows to parse contracts and market data.
• Predictive Decision Support Systems for complex Supply Chain Planning and Logistics network optimization.
• Multi-Agent Digital Workers automating complex document analysis, compliance checks, and operational reporting.
• This role will be an excellent fit for someone who:
• 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.