{"id":4167336,"url":"https://alion.io/job/deloitte-customer-experience-manager-associate-director","title":"Customer Experience Manager / Associate Director","company":{"id":272,"name":"Deloitte","domain":"deloitte.com","url":"https://alion.io/company/deloitte","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Avature","truth_index":{"grade":"A","score":100,"open_postings":12,"ghost_share":0,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":12,"computed_at":"2026-11-12T10:38:37Z"}},"role":"Customer Success","role_family":"Customer Success","seniority":"head","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Delhi, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Azure","optional":false},{"name":"Azure Cosmos DB","optional":false},{"name":"ElasticSearch","optional":false},{"name":"FastAPI","optional":false},{"name":"Gemini","optional":false},{"name":"GPT-4","optional":false},{"name":"GPT-5","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Machine Learning","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"OpenAI","optional":false},{"name":"Pre-training","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"RAG","optional":false},{"name":"Rest API","optional":false},{"name":"TensorFlow","optional":false},{"name":"Transfer Learning","optional":false}],"status":"live","first_seen_at":"2026-11-12T13:35:30Z","employer_posted_date":null,"last_verified_at":"2026-11-12T13:35:30Z","board_verified":false,"closed_at":null,"days_open":0,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":0},"description":"As a Manager / Associate Director in our CS&D Team, you'll build and nurture positive working relationships with teams and clients with the intention to exceed client expectations.\n\nRole description:\n\nWe are seeking a highly skilled and innovative Generative AI / Agentic AI Architect to join our team. In this role, you will be responsible for designing and delivering enterprise-grade AI solutions, including intelligent banking assistants and AI agents powered by Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and multi-agent frameworks. You will lead the architecture, integration, and deployment of AI applications that enhance customer experience, automate business processes, and drive operational efficiency across various sectors. The ideal candidate possesses strong expertise in Python, AI/ML frameworks, LLM ecosystems, cloud-native architectures, and the successful implementation of GenAI and Agentic AI solutions in regulated environments.\n\nKey Responsibilities:\nDesign and implement GenAI and Agentic AI solutions, including intelligent assistants and autonomous AI agents.\nArchitect and deploy LLM-based applications leveraging RAG, orchestration frameworks, and enterprise integrations.\nCollaborate with business, engineering, and data teams to deliver scalable AI solutions aligned with banking use cases.\nDevelop and optimize AI workflows for customer service, process automation, knowledge retrieval, and decision support.\nIntegrate AI platforms with banking systems, APIs, enterprise data sources, and knowledge repositories.\nEstablish AI governance, security, observability, and compliance controls in line with regulatory requirements.\nEvaluate emerging GenAI and Agentic AI technologies and drive innovation through proofs of concept and production implementations.\nDefine architecture standards, best practices, and reusable frameworks for enterprise AI adoption.\nMentor technical teams and provide architectural leadership throughout the AI solution lifecycle.\n\nRequired Skills & Qualifications:\nStrong proficiency in Python programming and experience with deep learning frameworks such as TensorFlow or PyTorch.\nSolid understanding of generative models, including Variational Autoencoders (VAEs), Generative Adversarial Networks (GANs), and autoregressive models.\nExperience working with large language models such as GPT-4, GPT-5, or similar models.\nExperience working with Azure OpenAI and Google Gemini.\nProven track record of developing and implementing generative AI models for text, image, or other data types.\nFamiliarity with transfer learning and pre-training techniques for large language models.\nDesign and develop RESTful APIs using Python and FastAPI.\nDevelop and optimize prompts for various natural language processing tasks using few-shot, one-shot, and zero-shot learning techniques.\nUnderstanding of Microsoft Azure services such as Azure Functions, Azure Storage, Azure Cosmos DB, and Azure Machine Learning.\nWork with vector databases like ChromaDB and Elasticsearch to power Retrieval Augmented Generation (RAG).\nExposure in architecting GenAI and Agentic AI solutions enabling intelligent customer interactions, process automation, and decision support.\nExposure on AI governance and guardrails to ensure regulatory compliance, data privacy, model reliability, and responsible AI adoption.\nExcellent communication skills, with the ability to collaborate effectively with cross-functional teams and present complex concepts in a clear and concise manner.\nHaving exposure in Conversational AI is a plus.\n\nLocation and way of working:\nLocation - Delhi\n\nWorking from the office at least 3 days a week is mandatory, with a hybrid model tailored to each domain's specific needs.\n\nEducation:\nMCA/ MTech/ MBA/ B. 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