SAP BTP Applied Intelligence AIML Manager

EY; Dadri; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

EY is seeking a highly experienced AI and Machine Learning leader to establish scalable AI engineering capabilities, including MLOps and LLMOps, across enterprise platforms. The role combines hands-on AI engineering with leadership to elevate standards, guide AI solution development, and build sustainable capability across traditional and Generative AI technologies.

The successful candidate will mentor AI engineers, collaborate with stakeholders to identify value, and lead architectural reviews

Qualifications

• Strong experience in machine learning, deep learning, statistical modelling, and AI solution engineering.
• Hands-on expertise with Python and modern AI ecosystems including TensorFlow, PyTorch, Scikit-learn, LangChain, LangGraph, or comparable frameworks.
• Deep understanding of model training, optimisation, evaluation, deployment, monitoring, and lifecycle management.

Responsibilities

• Lead the development and growth of advanced AI engineering capabilities across machine learning, deep learning, MLOps, and LLMOps disciplines on SAP BTP and other cloud platforms.
• Define technical standards, engineering frameworks, and best practices for enterprise AI solution development.
• Architect and oversee the delivery of AI solutions spanning predictive analytics, computer vision, NLP, recommendation systems, intelligent automation, and Generative AI.
• Establish scalable model development, deployment, monitoring, and governance processes.
• Drive adoption of MLOps and LLMOps practices to improve reliability, traceability, observability, and operational performance.
• Mentor and develop AI engineers, helping them expand beyond prompt engineering into broader AI engineering disciplines.
• Collaborate with business and technology stakeholders to identify high-value AI opportunities and convert them into production solutions.
• Evaluate emerging AI frameworks, tooling, and platforms to strengthen organisational capabilities.
• Lead technical reviews, solution assurance activities, architecture discussions, and capability-building initiatives.
• Support thought leadership, innovation activities, technical asset development, and market-facing AI initiatives.

Skills

Machine learning

Deep learning

MLOps

LLMOps

Python

TensorFlow

PyTorch

Scikit-learn

LangChain

LangGraph

Data governance

Client management

Cloud platforms

Tools

SAP BTP

Azure

AWS

Google Cloud

AI certifications

Job 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.

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.

About Global Delivery Services

Global 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.

Our 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.

Client 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.

Enablement 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.

Our 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.

The Opportunity

We are looking for a highly experienced AI and Machine Learning leader to establish and scale advanced AI engineering capabilities beyond Generative AI adoption. This role will focus on building enterprise-grade expertise across machine learning, deep learning, MLOps, LLMOps, and intelligent automation while enabling the development of next-generation AI solutions.

The successful candidate will combine strong hands-on AI engineering experience with leadership capability and a passion for creating high-performing teams. They will be responsible for elevating technical standards, guiding the development of advanced AI solutions, and creating sustainable capability across both traditional AI and emerging Generative AI technologies.

This role offers a unique opportunity to shape an AI engineering practice that can deliver across predictive, analytical, agentic, and autonomous AI use cases.

Your Key Responsibilities

• Lead the development and growth of advanced AI engineering capabilities across machine learning, deep learning, MLOps, and LLMOps disciplines on SAP BTP and other cloud platforms.
• Define technical standards, engineering frameworks, and best practices for enterprise AI solution development.
• Architect and oversee the delivery of AI solutions spanning predictive analytics, computer vision, NLP, recommendation systems, intelligent automation, and Generative AI.
• Establish scalable model development, deployment, monitoring, and governance processes.
• Drive adoption of MLOps and LLMOps practices to improve reliability, traceability, observability, and operational performance.
• Mentor and develop AI engineers, helping them expand beyond prompt engineering into broader AI engineering disciplines.
• Collaborate with business and technology stakeholders to identify high-value AI opportunities and convert them into production solutions.
• Evaluate emerging AI frameworks, tooling, and platforms to strengthen organisational capabilities.
• Lead technical reviews, solution assurance activities, architecture discussions, and capability-building initiatives.
• Support thought leadership, innovation activities, technical asset development, and market-facing AI initiatives.

Skills And Attributes For Success

• Strong experience in machine learning, deep learning, statistical modelling, and AI solution engineering.
• Hands-on expertise with Python and modern AI ecosystems including TensorFlow, PyTorch, Scikit-learn, LangChain, LangGraph, or comparable frameworks.
• Deep understanding of model training, optimisation, evaluation, deployment, monitoring, and lifecycle management.
• Experience establishing MLOps, LLMOps, data science engineering, and AI platform practices.
• Knowledge of modern data engineering concepts, feature engineering, model observability, and AI governance.
• Excellent client management experience across multiple and varied demographical contexts.
• Practical experience with Generative AI technologies, foundation models, RAG architectures, AI agents, and orchestration frameworks.
• Strong understanding of cloud-based AI services and distributed AI workloads.
• Ability to balance research-oriented innovation with enterprise delivery requirements.
• Excellent communication, presentation, stakeholder management, and consulting skills.
• Demonstrated experience leading technical teams and coaching engineers toward higher levels of capability and performance.

Ideally, you’ll also have

• Experience building and managing AI engineering teams or centres of excellence.
• Exposure to large-scale AI programmes across multiple industries.
• Experience with model evaluation frameworks, AI risk management, Responsible AI, and AI governance.
• Familiarity with knowledge graphs, multi-agent systems, reinforcement learning, or advanced deep learning techniques.
• SAP BTP, Azure, AWS, Google Cloud, AI/ML, Data Science, or MLOps certifications.
• Contributions to AI communities, publications, open-source projects, patents, or recognised thought leadership.

What we look for

• A technically credible AI leader with deep foundations in machine learning and modern AI engineering.
• A builder who enjoys creating new capabilities, frameworks, teams, and engineering practices.
• A confident and influential communicator who can translate complex AI concepts into business value.
• A mentor who can develop the next generation of AI engineers and technical leaders.
• A high-energy self-starter who takes ownership and drives outcomes with limited direction.
• A collaborative leader who thrives in fast-paced, multidisciplinary environments and can effectively partner with senior stakeholders.
• A professional who combines curiosity, engineering rigour, innovation mindset, and execution excellence.

What We Offer You

At 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.

To 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.

Our 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.

Professional 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.

People 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.

Benefits

Embark on a transformative career journey with us and indulge in a suite of premium benefits, encompassing exclusive health and wellness packages, enticing rewards, and cutting-edge learning opportunities that empower you to continually grow and excel in your professional and personal development.

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.

EY | Building a better working world

Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.

Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.