EY-GDS Consulting-AIA-Agentic AI Engineer-Manager at EY

Bidhannagar, Andhra Pradesh, India -

Full Time

Start Date

Immediate

Expiry Date

08 Aug, 26

Salary

0.0

Posted On

10 May, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Agentic AI, Generative AI, Python, RAG, LangChain, Data Strategy, Cloud Platforms, Process Mining, Stakeholder Management, AI Architecture, Data Governance, Enterprise Data Assessment, Business Case Development, Team Leadership, Digital Transformation, REST APIs

Industry

Professional Services

Description

At EY, we’re all in to shape your future with confidence. We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. Career Family AIA – Agentic AI ENGINEER Role Type Full Time The opportunity We are seeking a dynamic Manager to join our AI & Data Tech Consulting team, focused on driving data-driven transformations. The ideal candidate will bring a unique blend of AI strategy consulting, data & enterprise data assessments and hands-on experience in leading cross-functional teams to deliver scalable and impactful solutions. You will work closely with C-suite leaders, operating partners, and portfolio company executives to help them leverage Agentic AI, analytics, and data-driven platforms to unlock value, accelerate digital transformation, and create competitive advantage. Your key responsibilities Technical Excellence: AI And Data Consulting Partner with Operating Partners and leadership teams to define and execute Agentic AI, GenAI, and analytics-driven strategies. Develop and deploy AI implementation playbooks, frameworks, and accelerators that drive tangible value creation. Assess technology cost optimization, data monetization, and digital transformation opportunities across portfolio companies. Knowledge of business process transformation would be an added advantage. AI‑Ready Data And Enterprise Data Assessments Assess whether data is clean, secure, well‑structured, and ready for AI i.e.: AI-readiness evaluation (quality, lineage, security, architecture) Review existing enterprise data to identify gaps and issues and evaluate the strength of data foundations across ERP and core systems Define clear, prioritized actions to fix gaps and enable AI use cases Apply assessments during diligence, post‑merger integration, and 100‑day plans Convert findings into clear business cases with ROI and value impact AI And Digital Transformation Lead Agentic AI initiatives, translating business and functional requirements into agent architectures, workflows, and capabilities. Build proprietary AI/ML accelerators to enhance business processes such as customer care, software development, predictive analytics, and operational automation Stay ahead of emerging trends in AI, LLMs, process mining, and advanced analytics to deliver cutting-edge solutions Familiarity with process mining tools like Celonis, Signavio, or PAFnow. Experience with Agentic AI frameworks (e.g., LangChain, semantic kernels, Autogen) Proficiency in Python and retrieval-augmented generation (RAG) Understanding of basic data structures and algorithms Working knowledge of: REST APIs, JSON, Async workflows Data And Analytics Strategy Architect data solutions leveraging cloud platforms, data engineering frameworks, and predictive analytics models to solve complex business challenges. Guide portfolio companies on setting up data governance frameworks, data marketplaces, and analytics COEs. Design end-to-end data transformation programs, from roadmap creation to solution implementation. Strong understanding of Cloud platforms (Azure / AWS / GCP), data visualization tools, and analytics solutions. Exposure to ERP transformations (e.g., Dynamics 365, SAP, Oracle) and portfolio tech integrations is a plus. Business Development And Client Management Work closely with account leaders to identify opportunities and develop tailored value propositions. Support pursuit strategy, proposal development, and client orals for strategic accounts. Represent the firm at global analyst briefings, industry forums, and thought leadership platforms. Team Leadership And Collaboration Manage and mentor cross-functional teams across consulting, product development, and data engineering. Foster collaboration between AI product teams, analytics experts, and sector specialists to deliver integrated solutions. Drive knowledge sharing and capability-building within the team. Skills and Attributes: Educational Background MBA / PGDM / master’s degree in data science, AI, Analytics, or Business Management. Engineering or quantitative background preferred. Professional Experience 10–12 years of experience in Agentic AI, digital transformation, and strategy consulting. Proven track record in AI-driven transformation programs, including Agentic AI, GenAI, predictive analytics, and process mining. Experience in building and deploying accelerators, playbooks, or proprietary platforms for data-driven consulting. Soft Skills Exceptional client engagement and stakeholder management skills, especially with C-suite executives. Strong problem-solving mindset with the ability to translate AI into business value. Excellent communication, presentation, and leadership abilities. Preferred Certifications GenAI and LLM focussed, AI/ML, or data analytics certifications (Google, Microsoft, AWS, Coursera, etc.) Why Join Us Be at the forefront of AI‑driven innovation across multiple client sectors. Work with global clients to drive real business impact. Collaborate with a team of AI experts, analytics leaders, and industry specialists in a highly entrepreneurial environment. What we offer EY Global Delivery Services (GDS) is a dynamic and truly global delivery network. We work across six locations – Argentina, China, India, the Philippines, Poland and the UK – and with teams from all EY service lines, geographies and sectors, playing a vital role in the delivery of the EY growth strategy. From accountants to coders to advisory consultants, we offer a wide variety of fulfilling career opportunities that span all business disciplines. In GDS, you will collaborate with EY teams on exciting projects and work with well-known brands from across the globe. We’ll introduce you to an ever-expanding ecosystem of people, learning, skills and insights that will stay with you throughout your career. Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next. Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way. Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs. Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs. EY | Building a better working world EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.

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Responsibilities

Lead the design and deployment of Agentic AI strategies and data-driven transformations for C-suite leaders and portfolio companies. Manage cross-functional teams to build AI/ML accelerators and conduct enterprise data readiness assessments to unlock business value.