{"id":3954001,"url":"https://alion.io/job/ey-senior-manager-full-stack-ai-engineering","title":"Senior Manager - Full-Stack AI Engineering","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":"Backend","role_family":"Backend","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":["Taguig, Philippines"],"countries":["PH"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"GCP","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"AWS Bedrock","optional":true},{"name":"Databricks","optional":true},{"name":"Microsoft Fabric","optional":true},{"name":"OpenAI","optional":true},{"name":"Vertex AI","optional":true}],"status":"live","first_seen_at":"2026-11-09T02:00:00Z","employer_posted_date":"2026-11-09","last_verified_at":"2026-11-09T06:37:13Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"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.\nRole Overview\nWe are seeking an experienced Senior Manager - Full-Stack AI Engineering to lead the design, development, and delivery of AI-powered applications and intelligent solutions across global engagements. The ideal candidate combines strong AI Engineering and software engineering expertise with proven leadership experience. This role requires an individual who can lead teams of Full-Stack AI Engineers, translate client requirements into scalable solutions, engage directly with stakeholders, and contribute to the continued growth of EY's AI Engineering capabilities.\nKey Responsibilities\nDesign and deliver enterprise AI applications leveraging Generative AI, LLMs, AI Agents, and RAG architectures.\nArchitect and integrate AI services, cloud platforms, APIs, and enterprise applications into scalable solutions.\nLead teams building AI applications using Python, React, backend APIs, microservices, and cloud-native technologies.\nDrive adoption of SDLC, DevOps, CI/CD, MLOps, and AI Engineering best practices.\nTranslate business requirements into practical AI solutions and lead client workshops and presentations.\nSupport solutioning, proposals, strategic pursuits, and AI Engineering practice growth.\nMentor and develop Full-Stack AI Engineers and technical leads.\nRequired Qualifications\nBachelor's or Master's degree in Computer Science, Software Engineering, Information Technology, or related field.\n10+ years of experience in software engineering, AI Engineering, cloud engineering, or application development.\nStrong understanding of AI Engineering and AI-enabled application development.\nHands-on experience with Python, React, backend APIs, microservices, cloud-native development, and enterprise integration.\nExperience building AI solutions leveraging Generative AI, LLMs, AI Agents, and RAG.\nExperience with Azure, AWS, or GCP cloud platforms.\nProven experience leading technical teams and delivering enterprise-scale solutions.\nStrong communication, stakeholder management, consulting, and leadership skills.\nPreferred Qualifications\nExperience with Azure AI Services, Azure OpenAI, Azure AI Foundry, AWS Bedrock, Vertex AI, Databricks, or Microsoft Fabric.\nExperience building AI copilots, AI assistants, intelligent search, and AI-powered applications.\nRelevant cloud, AI, or engineering certifications.\nWhat Success Looks Like\nDeliver scalable AI-enabled applications that create measurable business value.\nBuild and lead high-performing Full-Stack AI Engineering teams.\nEstablish trusted client relationships and provide technical leadership.\nContribute to practice growth, innovation, and capability development.\nHelp shape the future roadmap of AI Engineering within EY GDS.\nEY | Building a better working world\nEY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.\nEnabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.\nWorking across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world 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