{"id":3532070,"url":"https://alion.io/job/ey-ams-de-aiops-engineer-manager","title":"AMS-DE-AIOps-Engineer-Manager","company":{"id":2859,"name":"EY","domain":"ey.com","url":"https://alion.io/company/ey-com","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SuccessFactors","truth_index":null},"role":"Industrial Engineering","role_family":"Industrial Engineering","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Thiruvananthapuram, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"AutoGen","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Computer Vision","optional":false},{"name":"CrewAI","optional":false},{"name":"Embeddings","optional":false},{"name":"Function Calling","optional":false},{"name":"GCP","optional":false},{"name":"Knowledge Graph","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Machine Learning","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"NLP","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Rest API","optional":false},{"name":"Semantic Kernel","optional":false},{"name":"Semantic Search","optional":false},{"name":"AIOps","optional":true},{"name":"ITIL","optional":true},{"name":"ITSM","optional":true},{"name":"JavaScript","optional":true},{"name":"LLMOps","optional":true},{"name":"Model Context Protocol","optional":true},{"name":"TypeScript","optional":true}],"status":"live","first_seen_at":"2026-10-30T16:21:06Z","employer_posted_date":"2026-10-30","last_verified_at":"2026-11-03T07:17:30Z","board_verified":true,"closed_at":null,"days_open":3,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":3},"description":"At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.\nService line - Position Title: TechOps - Digital Engineering Operations - AI Engineer - Manager\nAt EY, we’re all in to shape your future with confidence.\nWe’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go.\nJoin EY and help to build a better working world.\nAbout Global Delivery Services\nGlobal Delivery Services refers to EY's worldwide network of service delivery centers. The GDS team plays an important role in EY’s strategy by ensuring effective support to EY’s growth agenda.\nOur journey started in 2002 with approximately 200 people. Today we stand at 80,000+ professionals in ten locations around the world. We operate in Argentina, China, Hungary, India, Philippines, Poland, Sri Lanka, Mexico, Spain and the United Kingdom.\nClient service is focused on providing Consulting, Assurance, Tax, Strategy & Transactions, and Knowledge support to our clients around the world. The teams enable account teams worldwide to provide seamless, high-quality, value-added support, helping deliver exceptional client service.\nEnablement Services provides cost-effective, high-skilled, and innovative services to support EY’s global and local enablement teams. Markets, BMC, AWS, Finance and Accounting, Risk Management, Procurement, People Shared Services, IT Service Delivery and IT Global Infrastructure services, are among the services offered by Enablement Services.\nOur innovation specialists serve the GDS Client Service and Enablement Services teams, along with Service Lines, Core Business Services and Sectors. The team brings the desired environment, technologies and skilled teams together for facilitation, rapid prototyping and innovative thinking. The competencies offered include analytics, digital, user experience, mobile technology, infrastructure, Microsoft technologies and open innovation.\nThe Opportunity\nAs a Manager in EY GDS Tech Ops practice, you will be responsible for hands-on technical leadership, stakeholder collaboration, and delivery ownership, designing, and operationalizing intelligent AI agents and autonomous workflows that leverage LLMs, AI services, and enterprise integrations. The role requires strong expertise in AI engineering, automation, software development, and cross-functional collaboration to deliver scalable, secure, and business-impacting Agentic AI solutions.\nYour Key Responsibilities\nLead and manage a team of AI Engineers, Developers, and Solution Architects, providing technical guidance, coaching, mentoring, and career development support.\nCreate a high-performance culture focused on innovation, accountability, collaboration, and continuous improvement.\nOwn end-to-end delivery of AI and automation engagements, ensuring quality, timelines, budget adherence, and stakeholder satisfaction.\nDesign, develop, and deploy Agentic AI solutions leveraging Large Language Models (LLMs), multi-agent architectures, retrieval systems, and AI orchestration frameworks to automate complex business and engineering workflows.\nArchitect and implement AI-powered autonomous workflows and intelligent agents capable of reasoning, planning, decision-making, and executing tasks across enterprise systems.\nIntegrate LLMs, NLP, Computer Vision, and other AI/ML services into enterprise applications and platforms through APIs, SDKs, and cloud-native architectures.\nIdentify, analyze, and transform repetitive and high-value operational and engineering processes into scalable AI and automation solutions.\nDevelop custom applications, services, and automation logic using Python and modern AI frameworks to connect disparate systems and enable end-to-end workflow automation.\nCollaborate with cross-functional teams to define agent behaviors, tool integrations, guardrails, evaluation frameworks, and success metrics for AI solutions.\nMonitor, maintain, troubleshoot, and continuously optimize AI agents and automated workflows to ensure reliability, scalability, security, and performance.\nEstablish technical standards, reusable components, best practices, and reference architectures for Agentic AI and automation implementations.\nCreate and maintain technical documentation, solution designs, operational runbooks, and deployment guidelines for AI-powered automation solutions.\nCollaborate closely with AI Platform, Engineering, Operations, and Business teams to identify, integrate, and operationalize AI services, tools, accelerators, and enterprise AI capabilities.\nEvaluate emerging AI technologies, frameworks, and agent orchestration platforms, recommending innovative solutions that drive business value and operational efficiency.\nDrive adoption of AI, Agentic AI, automation solutions, and reusable accelerators across engagements, practices, and client programs.\nProvide technical leadership and mentorship to engineers, contributing to solution design reviews, code quality, architecture governance, and engineering best practices.\nSupport business development activities related to AI and automation, including solution design, proposals, client workshops, demonstrations, and technical presentations.\nEnsure all AI and automation solutions comply with organizational security, governance, risk management, privacy, and responsible AI standards.\nContribute to resource planning and technical execution by estimating effort, prioritizing work, coordinating with stakeholders, and ensuring successful delivery of AI initiatives.\nSkills and attributes for success\nHands-on experience with Large Language Models (LLMs), prompt engineering, Retrieval-Augmented Generation (RAG), AI agents, and agent orchestration frameworks such as LangChain, LangGraph, Semantic Kernel, CrewAI, AutoGen, or similar technologies.\nStrong understanding of Generative AI, NLP, machine learning concepts, and integration of AI services into enterprise workflows.\nExperience integrating AI, automation, and enterprise systems through REST APIs, SDKs, event-driven architectures, and cloud-native services.\nAbility to analyze complex business and engineering processes and design scalable Agentic AI and intelligent automation solutions that deliver measurable business value.\nExperience developing and deploying autonomous workflows leveraging AI agents, tool calling, workflow orchestration, and decision-making frameworks.\nExperience with cloud platforms such as Microsoft Azure, AWS, or Google Cloud, including AI and machine learning services.\nKnowledge of vector databases, embeddings, knowledge graphs, semantic search, and enterprise data integration patterns is highly desirable.\nExperience building AI, GenAI, automation solutions, accelerators, and reusable frameworks within managed services or large-scale enterprise environments is preferred.\nUnderstanding ITSM, ITIL, DevOps, MLOps, LLMOps, and operational governance practices is an added advantage.\nFamiliarity with AI governance, Responsible AI principles, security, privacy, and regulatory compliance requirements.\nExcellent communication and stakeholder management skills, with the ability to collaborate effectively across AI, engineering, operations, platform, and business teams.\nAbility to mentor team members, contribute to technical leadership, and drive the adoption of Agentic AI, automation, and engineering best practices across engagements.\nTo qualify for the role, you must have\nBachelor’s or master’s degree in computer science, Engineering, or related field.\n5+ years of professional software engineering experience, with at least 2-3 years of hands-on experience designing, developing, and deploying Generative AI, Agentic AI, intelligent automation, or AI-powered solutions in enterprise environments.\nProven experience building and implementing solutions utilizing Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), prompt engineering, agent orchestration frameworks, and AI-powered workflows.\nHands-on experience with AI/ML frameworks, NLP technologies, vector databases, semantic search, and enterprise knowledge retrieval systems.\nStrong programming expertise in Python and working knowledge of JavaScript/TypeScript, with experience developing APIs, automation services, and enterprise integrations.\nUnderstanding AIOps, MLOps, LLMOps, model evaluation, monitoring, observability, and governance practices for production AI systems.\nExperience with multi-agent systems, MCP (Model Context Protocol), AI copilots, and enterprise AI platforms.\nWhat we look for:\nPassionate and curious technologists with a strong interest in Generative AI, Agentic AI, intelligent automation, and emerging AI technologies, coupled with hands-on experience in Python development and enterprise integrations.\nContinuous learners who stay current with advancements in LLMs, AI agents, RAG architecture, agent orchestration frameworks, and cloud-based AI services.\nStrong problem solvers with the ability to analyze complex business challenges, identify automation opportunities, and design innovative AI-driven solutions.\nSelf-motivated professionals who take ownership of outcomes and proactively troubleshoot, optimize, and enhance AI-enabled workflows and systems.\nCollaborative team players who can effectively partner with AI, engineering, platform, operations, and business stakeholders in distributed, hybrid, and global work environments.\nEngineers with a strong customer and business-value mindset, capable of translating requirements into scalable, secure, and impactful AI solutions.\nDetail-oriented professionals who maintain high standards for code quality, testing, documentation, governance, and operational excellence.\nIndividuals with strong communication and presentation skills, able to articulate technical concepts to both technical and non-technical audiences.\nProfessionals who embrace innovation while balancing Responsible AI principles, security, compliance, and enterprise governance requirements.\nMentors and knowledge sharers who contribute to team growth, promote engineering best practices, and help drive enterprise adoption of Agentic AI and automation capabilities.\nWhat we offer you\nAt EY, we’ll develop you with future-focused skills and equip you with world-class experiences. We’ll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn more.\nAre you ready to shape your future with confidence? Apply today.\nTo help create an equitable and inclusive experience during the recruitment process, please inform us as soon as possible about any disability-related adjustments or accommodations you may need.\nOur Commitment: As a commitment, we persistently endeavour to embody our values, fulfil our purpose, and champion inclusiveness. Our dedication is to cultivate EY into an environment where diverse perspectives are celebrated, creating a supportive atmosphere for individuals to authentically be themselves and contribute their utmost.\nProfessional Development: From entry-level employees to senior leaders, we believe in continuous learning. We offer opportunities to build new skills, take on leadership roles, and connect and grow through mentorship.\nPeople and Culture: In our dynamic workplace, diversity, equity, and inclusiveness are ingrained in our culture. We're united by a commitment to create an environment where every individual's differences are valued, practices are equitable, fostering a sense of belonging. Our shared values include integrity, respect, teaming, inclusiveness, energy, enthusiasm, courage to lead, and building relationships based on doing the right thing.\nBenefits: Embark on a tran...","description_format":"text","description_chars":13261,"description_truncated":true,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Continuous learning","Equity","Professional development"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Audit & Assurance Firms","Financial Advisory, Valuation & Restructuring","Management Consulting","Tax Advisory & Preparation"],"lifecycle":[{"event":"open","at":"2026-10-30T16:21:06Z"}],"visa":[],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":3,"expected_fill_days":27,"reasons":["conf:3","velocity","win:early","comp:brand"],"computed_at":"2026-11-03T05:54:40Z"},"pay":null,"html_url":"https://alion.io/job/ey-ams-de-aiops-engineer-manager","json_url":"https://alion.io/job/ey-ams-de-aiops-engineer-manager.json","meta":{"generated_at":"2026-11-03T08:59:41Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":12886,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-04T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":2859},"rest":"https://alion.io/mcp/rest/get_company?id=2859"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fey-ams-de-aiops-engineer-manager"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fey-ams-de-aiops-engineer-manager"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fey-ams-de-aiops-engineer-manager"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/ey-ams-de-aiops-engineer-manager\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fey-ams-de-aiops-engineer-manager"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3532070}},{"tool":"search_jobs","arguments":{"company":"ey.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3532070},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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