{"id":3350539,"url":"https://alion.io/job/wns-ai-developer","title":"AI Developer","company":{"id":6220,"name":"WNS","domain":"wns.com","url":"https://alion.io/company/wns","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SmartRecruiters","truth_index":{"grade":"A","score":87,"open_postings":53,"ghost_share":0,"stale_share":0.736,"repost_share":0,"time_to_fill_p50_days":8,"computed_at":"2026-10-29T05:49:05Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"middle","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Cape Town, South Africa"],"countries":["ZA"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"C#","optional":false},{"name":"CI/CD","optional":false},{"name":"Docker","optional":false},{"name":"GCP","optional":false},{"name":"Hugging Face","optional":false},{"name":"JavaScript","optional":false},{"name":"Kubernetes","optional":false},{"name":"LangChain","optional":false},{"name":"Machine Learning","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"RAG","optional":false},{"name":"Scikit-learn","optional":false},{"name":"SQL","optional":false},{"name":"TensorFlow","optional":false}],"status":"live","first_seen_at":"2026-10-27T10:20:39Z","employer_posted_date":"2026-10-27","last_verified_at":"2026-10-29T05:52:31Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"WNS, part of Capgemini, is an Agentic AI-powered leader in intelligent operations and transformation, serving more than 700 clients across 10 industries, including Banking and Financial Services, Healthcare, Insurance, Shipping and Logistics, and Travel and Hospitality. We bring together deep domain excellence - WNS’ core differentiator - with AI-powered platforms and analytics to help businesses innovate, scale, adapt and build resilience in a world defined by disruption.Our purpose is clear: to enable lasting business value by designing intelligent, human-led solutions that deliver sustainable outcomes and a differentiated impact. With three global headquarters across four continents, operations in 13 countries, 65 delivery centers and more than 66,000 employees, WNS combines scale, expertise and execution to create meaningful, measurable impact.\n We are seeking an innovative and technically skilled AI Developer to design, build, deploy and maintain artificial intelligence solutions that solve real business challenges. The successful candidate will work closely with cross-functional teams to develop machine learning models, generative AI applications, automation solutions and intelligent systems that drive efficiency, enhance customer experiences and support strategic business objectives.\nKey Responsibilities\nAI Solution Development\nDesign, develop, test and deploy AI and machine learning solutions.\nBuild and maintain scalable AI applications and APIs.\nDevelop Generative AI solutions using Large Language Models (LLMs).\nCreate AI-powered chatbots, virtual assistants and intelligent automation tools.\nIntegrate AI capabilities into existing products, platforms and business processes.\nMachine Learning & Model Management\nCollect, clean and prepare data for model training and evaluation.\nDevelop, train, test and optimize machine learning models.\nMonitor model performance and retrain models when necessary.\nImplement MLOps practices to support model deployment and lifecycle management.\nEnsure model accuracy, reliability, scalability and security.\nSoftware Development\nWrite clean, efficient and maintainable code.\nDevelop backend services, APIs and integrations supporting AI applications.\nParticipate in code reviews and software development best practices.\nTroubleshoot and resolve technical issues related to AI systems.\nInnovation & Research\nStay current with advancements in AI, machine learning, automation and emerging technologies.\nEvaluate new tools, frameworks and AI platforms.\nRecommend and implement innovative solutions that create business value.\nParticipate in proof-of-concepts and pilot projects.\nCollaboration & Stakeholder Engagement\nWork closely with business stakeholders to understand requirements and opportunities for AI adoption.\nTranslate business challenges into technical AI solutions.\nCollaborate with data engineers, software developers, product teams and business leaders.\nPresent technical concepts and solution recommendations to both technical and non-technical audiences.\nGovernance, Security & Compliance\nEnsure AI solutions comply with data privacy, security and regulatory requirements.\nSupport responsible and ethical AI practices.\nDocument AI models, development processes and technical solutions.\nContribute to AI governance and risk management initiatives.\nTechnical Skills\nStrong programming skills in Python.\nKnowledge of JavaScript, C#, Java or similar programming languages.\nExperience with AI/ML libraries such as TensorFlow, PyTorch, Scikit-learn, LangChain or Hugging Face.\nExperience working with Large Language Models (LLMs) and Generative AI.\nKnowledge of prompt engineering and retrieval-augmented generation (RAG) frameworks.\nExperience with SQL and database technologies.\nFamiliarity with containerisation technologies such as Docker and Kubernetes.\nUnderstanding of MLOps and CI/CD practices.\n Minimum Requirements\nBachelor's Degree in Computer Science, Software Engineering, Data Science, Artificial Intelligence, Information Technology or related field.\nRelevant certifications in AI, Machine Learning, Cloud Technologies or Data Science would be advantageous.\nExperience\n3+ years software development experience.\n2+ years experience developing AI or machine learning solutions.\nExperience working with cloud platforms such as Microsoft Azure, AWS or Google Cloud.\nExperience deploying AI applications into production environments.\nExperience with API development and integration.\n Technical Competencies\nArtificial Intelligence Development\nMachine Learning Engineering\nData Analysis and Modelling\nSoftware Development\nCloud Computing\nSystems Integration\nAPI Development\nProblem Solving\nBehavioural Competencies\nInnovation and Curiosity\nCritical Thinking\nAttention to Detail\nCollaboration and Teamwork\nAdaptability\nContinuous Learning\nCommunication Skills\nAccountability and Ownership\nKey Performance Indicators (KPIs)\nSuccessful deployment of AI solutions.\nModel performance and accuracy metrics.\nSystem reliability and uptime.\nDelivery of projects within agreed timelines.\nAutomation and efficiency improvements achieved.\nUser adoption and satisfaction rates.\nReduction in manual effort through AI implementation.\nCompliance with security and governance standards.\nWhat Success Looks Like\nA successful AI Developer leverages technology to create intelligent solutions that improve business performance, automate repetitive processes, enhance customer experiences and unlock new opportunities through responsible and scalable AI innovation.","description_format":"text","description_chars":5530,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[{"language":"English","level":"All levels","optional":false}]},"benefits":["Continuous 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