EY GDS - Senior Manager-Appsec-AI-Engineering-Architect

EY

Ernakulam

On-site

INR 2,500,000 - 5,000,000

Full time

35 hours ago
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Job summary

EY Global Delivery Services in India seeks a Senior AI Engineering Architect to drive enterprise-scale AI strategy, architecture decisions, and innovation across client engagements. You will shape AI engineering capabilities, define standards, and guide large-scale transformations while mentoring architects and engineers.

The role combines hands-on prototyping with strategic leadership, enabling adoption of emerging AI technologies, responsible AI practices, and scalable pipelines in multi-cloud

Qualifications

  • Bachelor’s degree in Computer Science, Engineering, AI/ML or related field.
  • 12+ years of experience in AI engineering, architecture, or advanced technology consulting.
  • Proven experience leading complex AI transformation and architecture initiatives.
  • Strong track record of driving innovation and technology adoption.
  • Relevant certifications (preferred): Microsoft Azure Solutions Architect / AI Engineer; AWS Solutions Architect / Machine Learning; CISSP.

Responsibilities

  • Define and evolve enterprise-level AI reference architectures, frameworks, and engineering standards.
  • Approve and guide key architecture decisions across multiple programs and client engagements.
  • Lead executive-level client discussions, architecture workshops, and strategic solutioning initiatives.
  • Shape and drive AI engineering capability development across application security and VAPT domains.
  • Champion adoption of emerging AI technologies, including advanced LLM patterns, multi-agent systems, and frontier AI capabilities.
  • Drive innovation through creation of POCs, labs, reusable accelerators, and platform assets.
  • Define and scale enterprise AI platforms, reusable accelerators, and engineering ecosystems across engagements.
  • Establish governance models for AI engineering, including evaluation frameworks, performance standards, and responsible AI practices.
  • Guide teams on advanced AI implementation approaches, including fine‑tuning strategies, optimization techniques, and system‑level design.
  • Lead and mentor architects, engineers, and cross‑functional teams to deliver high‑quality AI solutions.
  • Provide strategic oversight for complex programs, ensuring alignment with architectural vision and business objectives.
  • Contribute to go‑to‑market initiatives, practice‑level AI propositions, and thought leadership assets.
  • Represent EY in client forums, innovation discussions, and external thought leadership engagements.

Skills

Python
AI/LLM concepts
Enterprise architecture
Executive communication
Stakeholder management

Education

Bachelor’s degree in Computer Science, Engineering, AI/ML

Tools

OpenAI Codex / Copilot
LangChain
Azure OpenAI
Pinecone / FAISS

Job description

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.

Job Title: EY GDS – Senior AI Engineering Architect, Technology Consulting

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 EYs 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.

About the Role:

EY Global Delivery Services (GDS) is seeking a Senior AI Engineering Architect to serve as a technology leader driving enterprise-scale AI strategy, architecture decisions, and innovation across global client engagements. This role is central to shaping how AI engineering capabilities are built, scaled, and adopted across application security and offensive security domains.

As a senior technologist, you will lead front-end client conversations, define enterprise-level AI architecture standards, and guide organizations in solving complex real-world problems using advanced AI capabilities. While primarily focused on architecture and technology leadership, you will remain hands‑on when required to prototype solutions, validate emerging approaches, and solve complex technical challenges.

The ideal candidate brings a strong blend of deep technical expertise, architectural vision, and the ability to champion evolving AI technologies while driving adoption across large-scale environments.

Key Responsibilities:
  • Define and evolve enterprise-level AI reference architectures, frameworks, and engineering standards.
  • Approve and guide key architecture decisions across multiple programs and client engagements.
  • Lead executive-level client discussions, architecture workshops, and strategic solutioning initiatives.
  • Shape and drive AI engineering capability development across application security and VAPT domains.
  • Champion adoption of emerging AI technologies, including advanced LLM patterns, multi-agent systems, and frontier AI capabilities.
  • Drive innovation through creation of POCs, labs, reusable accelerators, and platform assets.
  • Define and scale enterprise AI platforms, reusable accelerators, and engineering ecosystems across engagements.
  • Establish governance models for AI engineering, including evaluation frameworks, performance standards, and responsible AI practices.
  • Guide teams on advanced AI implementation approaches, including fine‑tuning strategies, optimization techniques, and system‑level design.
  • Lead and mentor architects, engineers, and cross‑functional teams to deliver high‑quality AI solutions.
  • Provide strategic oversight for complex programs, ensuring alignment with architectural vision and business objectives.
  • Contribute to go‑to‑market initiatives, practice‑level AI propositions, and thought leadership assets.
  • Represent EY in client forums, innovation discussions, and external thought leadership engagements.
Cyber Experience (Any One Preferred):
Application Security:
  • Enterprise‑scale secure AI architecture strategy and DevSecOps integration for AI systems
  • Convergence of AI with secure SDLC, CI/CD pipelines, API security, identity, and cloud‑native security controls
Offensive Security:
  • AI‑driven threat modeling, adversarial evaluation strategies, and red teaming frameworks
  • Convergence of AI with VAPT methodologies, attack simulations, and emerging AI threat landscapes
Technical Skills and Expertise:
  • Strong proficiency in Python with ability to prototype complex AI solutions when required
  • Deep expertise in AI/LLM tools such as OpenAI Codex, GitHub Copilot, Claude, Cursor, Gemini, or similar
  • Advanced knowledge of AI frameworks: LangChain, LlamaIndex, LangGraph, Semantic Kernel, AutoGen, CrewAI, or equivalents
  • Strong understanding of AI architecture patterns: RAG, agentic systems, multi‑agent orchestration, and scalable pipelines
  • Cloud platforms: Azure (preferred), AWS, or GCP with architecture‑level expertise
  • AI platforms: Azure AI Foundry, Azure OpenAI, Hugging Face, Vertex AI, or similar
  • Vector databases and retrieval systems: Pinecone, FAISS, Azure AI Search, Weaviate, or equivalents
  • Observability, monitoring, and evaluation frameworks for AI systems
  • DevOps, CI/CD, and platform engineering practices
Soft Skills and Attributes:
  • Strong technology leadership and architectural vision
  • Excellent executive communication and stakeholder management skills
  • Ability to translate complex AI concepts into business‑aligned solutions
  • Innovation mindset with passion for emerging technologies
  • Ability to influence and drive change across teams and organizations
Performance Expectations / KPIs:
  • Impact on enterprise architecture quality and scalability
  • Adoption of AI platforms, accelerators, and reusable assets
  • Innovation output including POCs, labs, and thought leadership assets
  • Contribution to practice growth and capability maturity
  • Effectiveness in mentoring architects and engineering leaders
Qualifications:
  • Bachelor’s degree in Computer Science, Engineering, AI/ML, Cybersecurity, or related field
  • 12+ years of experience in AI engineering, architecture, or advanced technology consulting
  • Proven experience leading complex AI transformation and architecture initiatives
  • Strong track record of driving innovation and technology adoption
  • Relevant certifications (preferred):
    • Microsoft Azure Solutions Architect / AI Engineer
    • AWS Solutions Architect / Machine Learning Specialty
    • Certified Information Systems Security Professional
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.

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. Were united by a commitment to create an environment where every individuals 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.

Successful candidates advance to a competency‑based interview. If mutual interest persists, a job offer awaits.

“We are an equal opportunity employer and are committed to Diversity, Equity & Inclusion”.

EY | Building a better working world

EY 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.

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.

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