{"id":1995660,"url":"https://alion.io/job/genpact-lead-ai-engineer-4c-9","title":"Lead AI Engineer 4C","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":176,"ghost_share":0.023,"stale_share":0.494,"repost_share":0.125,"time_to_fill_p50_days":28,"computed_at":"2026-10-19T05:45:15Z"}},"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":["Gurgaon, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":13500,"max_usd":34000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":34},"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"AutoGen","optional":false},{"name":"AWS","optional":false},{"name":"AWS Bedrock","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Claude","optional":false},{"name":"CrewAI","optional":false},{"name":"Docker","optional":false},{"name":"Edge AI","optional":false},{"name":"Embeddings","optional":false},{"name":"Fine-tuning","optional":false},{"name":"GCP","optional":false},{"name":"Gemini","optional":false},{"name":"Kubernetes","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"LlamaIndex","optional":false},{"name":"LLM","optional":false},{"name":"LLMOps","optional":false},{"name":"Machine Learning","optional":false},{"name":"NLP","optional":false},{"name":"OpenAI","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Semantic Kernel","optional":false},{"name":"Semantic Search","optional":false},{"name":"Semantic Search","optional":false},{"name":"SQL","optional":false},{"name":"Databricks","optional":true},{"name":"GraphRAG","optional":true},{"name":"Knowledge Graph","optional":true},{"name":"LLM Guardrails","optional":true},{"name":"Model Context Protocol","optional":true},{"name":"Multimodal AI","optional":true},{"name":"pySpark","optional":true},{"name":"Snowflake","optional":true},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-10-07T08:45:19Z","employer_posted_date":"2026-10-07","last_verified_at":"2026-10-19T22:31:01Z","board_verified":true,"closed_at":null,"days_open":12,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":12},"description":"Lead 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\nWe are looking for an experienced AI Developer to design, develop, and deliver enterprise-scale AI solutions leveraging Generative AI, Agentic AI, Machine Learning, and Data Science. The ideal candidate should have hands-on experience building production-ready AI applications, architecting scalable AI solutions, and driving innovation using Large Language Models (LLMs), AI Agents, and cloud-native technologies.\nThis role requires a combination of strong technical expertise, solution design capabilities, and leadership skills to deliver end-to-end AI solutions. You will collaborate with Data Scientists, Architects, Product Managers, Engineering teams, and business stakeholders to transform complex business challenges into scalable AI-powered solutions while mentoring teams and driving engineering excellence.\nKey Responsibilities\nDesign, develop, and deploy enterprise AI, Machine Learning, and Generative AI solutions for complex business use cases.\nBuild AI-powered copilots, intelligent assistants, autonomous agents, and workflow automation solutions using modern Agentic AI frameworks.\nArchitect and implement Retrieval-Augmented Generation (RAG) solutions using embeddings, vector databases, semantic search, and enterprise knowledge repositories.\nDevelop scalable AI services, APIs, and cloud-native applications using Python and modern software engineering practices.\nCollaborate with Data Scientists to operationalize Machine Learning models and advanced analytics solutions in production.\nDrive prompt engineering, model evaluation, fine-tuning, and optimization of LLM-based applications.\nDefine AI solution architecture, integration patterns, scalability, security, and deployment strategies across enterprise platforms.\nImplement MLOps and LLMOps practices, including model lifecycle management, monitoring, observability, governance, and Responsible AI.\nLead technical discussions, perform architecture and code reviews, mentor development teams, and promote engineering best practices.\nPartner with clients and business stakeholders to understand requirements, define AI roadmaps, and deliver high-impact AI solutions.\nDrive innovation through Proof of Concepts (PoCs), reusable AI accelerators, and adoption of emerging AI technologies.\nRequired Skills & Experience\n6-10 years of experience in AI/ML, Data Science, or enterprise software development.\nStrong programming expertise in Python, SQL, and API development.\nHands-on experience with Machine Learning, Deep Learning, NLP, statistical modeling, and predictive analytics.\nExperience designing and deploying production-grade Generative AI and LLM-powered applications.\nStrong understanding of Prompt Engineering, RAG, embeddings, vector databases, semantic search, and AI evaluation techniques.\nExperience with Agentic AI frameworks such as LangChain, LangGraph, LlamaIndex, Semantic Kernel, CrewAI, AutoGen, or similar.\nExperience integrating OpenAI, Azure OpenAI, Gemini, Claude, AWS Bedrock, or equivalent foundation models into enterprise applications.\nHands-on experience with cloud platforms (AWS, Azure, or GCP), Docker, Kubernetes, and CI/CD pipelines.\nStrong understanding of MLOps, LLMOps, Responsible AI, AI governance, and model monitoring.\nExcellent analytical, communication, stakeholder management, and mentoring skills.\nLeadership Expectations\nOwn the technical delivery of AI and Generative AI initiatives from solution design through production deployment.\nProvide technical leadership and mentor AI Engineers, Data Scientists, and cross-functional development teams.\nDrive architecture decisions, engineering standards, code quality, and AI best practices across projects.\nCollaborate with business leaders, clients, and solution architects to identify AI opportunities and define scalable solution strategies.\nSupport solutioning, estimations, technical proposals, and innovation initiatives for AI-led engagements.\nBuild reusable AI frameworks, accelerators, and reference architectures to improve delivery efficiency and scalability.\nGood to Have\nExperience with Model Context Protocol (MCP), GraphRAG, Knowledge Graphs, or multimodal AI.\nExperience with Databricks, Snowflake, Spark/PySpark, or enterprise data platforms.\nExposure to AI observability, evaluation frameworks, and guardrails for enterprise AI applications.\nAI/ML or Cloud certifications (Microsoft, AWS, Google Cloud, Databricks) are an added advantage.\nEducational Qualification\nBachelor's or Master's degree (preferred) in Computer Science, Artificial Intelligence, Data Science, Engineering, Mathematics, Statistics, or a related field.\nQualifications\nCertifications\nRequired Skills\nAI/ML Ops, Data Science, Developer Relations, Python (Programming Language), Python for Data Analysis, Structured Query Language (SQL) DevelopmentLanguage\nEnglish (Required)Language Proficiency -\nProficient - C2Additional Job Location -\nJob Type\nRegularMaster Skill List -\nAdvanced Analytics / AI / MLRemote Type -\nHybridWork Shift -\nAny (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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