{"id":2879850,"url":"https://alion.io/job/genpact-principal-ai-engineer-3-3","title":"Principal AI Engineer 3","company":{"id":3547,"name":"Genpact","domain":"genpact.com","url":"https://alion.io/company/genpact","size_band":"5000+","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":84,"open_postings":181,"ghost_share":0.033,"stale_share":0.486,"repost_share":0.122,"time_to_fill_p50_days":27,"computed_at":"2026-10-21T05:46:15Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"lead","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Phoenix, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":85000,"max_usd":174000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":730},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"Agile","optional":false},{"name":"AI Agents","optional":false},{"name":"Azure","optional":false},{"name":"Claude","optional":false},{"name":"Edge AI","optional":false},{"name":"GCP","optional":false},{"name":"Gemini","optional":false},{"name":"GPT-4","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"LlamaIndex","optional":false},{"name":"LLM","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"OpenAI","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Scrum","optional":false},{"name":"Semantic Search","optional":false},{"name":"Semantic Search","optional":false},{"name":"SQL","optional":false},{"name":"Vertex AI","optional":false},{"name":"Airflow","optional":true},{"name":"CI/CD","optional":true},{"name":"Databricks","optional":true},{"name":"Docker","optional":true},{"name":"Git","optional":true},{"name":"GitHub","optional":true},{"name":"LLM Guardrails","optional":true},{"name":"Platform Engineering","optional":true},{"name":"Ragas","optional":true},{"name":"Snowflake","optional":true},{"name":"Spark","optional":true},{"name":"TruLens","optional":true}],"status":"live","first_seen_at":"2026-10-14T00:00:00Z","employer_posted_date":"2026-10-14","last_verified_at":"2026-10-21T08:11:08Z","board_verified":true,"closed_at":null,"days_open":7,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":7},"description":"Principal AI EngineerReady to turn bold ideas into real-world impact?\nAt 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.\nIf 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. \nGenpact (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.\nGet to know us at genpact.com and on LinkedIn, YouTube, X, and Facebook.\nJob Description\nSupply Chain & Manufacturing Forward Deployed Senior AI Engineer\nRole Overview\nWe are seeking a high-caliber Supply Chain & Manufacturing Forward Deployed AI Engineer to lead rapid prototyping, discovery, and proof-of-concept (PoC) delivery. In this role, the incumbent will actively de-risk the design, development, integration, testing, and delivery of production-ready, AI-powered solutions across our global Supply Chain and Manufacturing functions.\nThis is a unique, highly impactful hybrid role, combining agile software delivery, frontline business engagement, hands-on AI product engineering, and modern AI/ML systems architecture. The ideal candidate will embed directly with frontline operations at the point of solution consumption to intimately understand operational bottlenecks, translate them into structured technical requirements, and write the critical lines of code that drive tangible business value.\nThe ideal candidate is equally comfortable facilitating workshops on the manufacturing floor, managing rapid agile delivery cycles, designing technical architecture, and writing robust, clean Python code\nKey Responsibilities\nFrontline Engagement & Discovery\nOn-Site Discovery: Partner directly with frontline Supply Chain, Manufacturing, Logistics, Procurement, and Planning teams to intimately map out operational bottlenecks \nTranslate Ambiguity: Facilitate discovery workshops and process reviews to translate messy business problems into clean user stories, functional specs, and technical data models \nOwn the Agile Lifecycle: Act as the Scrum Master for your prototyping work, managing backlog prioritization, rapid feedback iterations, risks, dependencies, and assumptions.\nRapid AI Prototyping & Development\nCode & Deploy: Design, write, and deploy robust working prototypes using Python and modern cloud technologies \nBuild Advanced AI Architectures: Construct enterprise-grade Retrieval-Augmented Generation (RAG) pipelines, semantic search engines, and multi-agent system workflows \nDesign for Scale: Focus on engineering prototypes that are \"designed for scale\" to ensure seamless code transition and handoff to core engineering teams \nReusable Tooling: Build reusable AI components, libraries, and accelerators to streamline future supply chain use cases \nSystems Integration & Data Engineering\nPlatform Connections: Design and build API integrations connecting AI applications directly to shop-floor platforms (e.g., Poka, Weaver, MES) \nEnterprise Infrastructure: Integrate AI systems with core enterprise platforms (SAP ERP), document repositories, and knowledge bases \nData Pipelines: Ingest, clean, structure, and connect messy, real-world data from databases, telemetry streams, and unstructured files \nCross-Functional Security: Partner with Security, Data, and Architecture teams to ensure robust, compliant, and secure integration patterns.\n\nTypical Use Cases\nIntelligent Manufacturing Knowledge Assistants integrated with platforms like Poka and Weaver to assist line operators.\nAI-Powered Shopfloor Voice Assistants & hands-free Standard Operating Procedure (SOP) guidance.\nSupplier & Procurement Intelligence Solutions utilizing agentic workflows to parse contracts and market data.\nPredictive Decision Support Systems for complex Supply Chain Planning and Logistics network optimization.\nMulti-Agent Digital Workers automating complex document analysis, compliance checks, and operational reporting.\nCareer Growth:\nThis role will be an excellent fit for someone who:\nEnjoys solving varied, real-world problems.\nLikes interacting with customers and understanding business needs.\nWants to work on cutting-edge AI applications rather than purely research.\nThrives in fast-paced environments where you own projects from design to deployment.\nRequired Qualifications\nEducation: Bachelor’s degree in Computer Science, Engineering, Information Systems, Supply Chain, Manufacturing, or a highly quantitative field.\nExperience: professional experience delivering software, advanced analytics, or digital transformation initiatives with hands-on experience building GenAI solutions.\nDomain Expertise: Experience working inside Supply Chain, Manufacturing, Operations, Logistics, or Industrial environments \n.\n Core Software & AI Stack:Production-grade Python and clean coding practices \nHands-on experience with modern AI/ML tooling: LLM APIs (GPT-4, Gemini, Claude), vector databases, and frameworks like LangChain, LangGraph, or LlamaIndex \nExperience with cloud platforms (e.g., Azure OpenAI, Google Cloud/Vertex AI) \n\nCore Data Skills: Strong SQL skills with the ability to query, manipulate, and validate complex enterprise datasets \nDelivery & Soft Skills: Superb communication and facilitation skills. Comfortable walking a manufacturing floor, gaining trust from operators, and presenting technical architectures to executive leadership \nPreferred Qualifications\nHands-on experience with enterprise ERP systems (SAP) and industrial systems (Poka, Weaver, MES) \nExperience with AI Evaluation and Guardrail frameworks (e.g., Ragas, TruLens, Phoenix) to systematically evaluate model outputs \nStrong engineering discipline: familiarity with version control (Git/GitHub), containerization (Docker), and basic CI/CD workflows \nExperience with data pipelines/analytics platforms (e.g., Snowflake, Databricks, Apache Spark, Airflow) \n\nSuccess Measures\nVelocity & Outcome Ownership: Swiftly converting ambiguous user pain points into functional, de-risked AI prototypes \nHigh Adoption & Smooth Handoff: High transition rate of validated prototype code to core engineering teams for full-scale production \n Measurable Business Value: Delivering clear, quantifiable improvements to operational metrics (e.g., reduction in line downtime, faster SOP lookups, improved logistics query speed).\nQualifications\nCertifications\nRequired Skills\nAI/ML Ops, AI Architecture - Agentic & Integration, AI Architecture - Data & Model, AI Platform Engineering, AI TransformationLanguage\nEnglishLanguage Proficiency -\nProficient - C2Additional Job Location -\nJob Type\nRegularMaster Skill List -\nAdvanced Analytics / AI / MLRemote Type -\nOfficeWork Shift -\nFlex Time (India)Why join Genpact?\nLead AI-powered transformation - Drive innovation and solve real-world business challenges that matter\nMake an impact - Help global enterprises solve business challenges that matter \nAccelerate your career - Gain hands-on experience, mentorship, and world-class learning opportunities to stay ahead\nWork with the best - Join 140,000+ bold thinkers and problem-solvers who push boundaries every day \nThrive 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. 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