Ernst & Young LLP ( EY India )

Generative AI Developer - Legacy System Modernization

Ernst & Young LLP ( EY India )
Chennai
Not disclosed
Work from OfficeWork from Office
Full TimeFull Time
Min. 4 yearsMin. 4 years

Job Description

DE-Legacy Modernization - Gen AI Developer-UC-GDSF02

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 - Legacy Modernization - Gen AI Developer

The Opportunity

We are the only professional services organization who has a separate business dedicated exclusively to the financial services marketplace. Join Digital Engineering Team and you will work with multi-disciplinary teams from around the world to deliver a global perspective. Aligned to key industry groups including Asset management, Banking and Capital Markets, Insurance and Private Equity, Health, Government, Power and Utilities, we provide integrated advisory, assurance, tax, and transaction services. Through diverse experiences, world-class learning and individually tailored coaching you will experience ongoing professional development. That’s how we develop outstanding leaders who team to deliver on our promises to all of our stakeholders, and in so doing, play a critical role in building a better working world for our people, for our clients and for our communities. Sound interesting? Well, this is just the beginning. Because whenever you join, however long you stay, the exceptional EY experience lasts a lifetime.

We are seeking a Gen AI-based Legacy Modernization Engineer at EY GDS. The successful candidate will be responsible for designing and implementing AI accelerators to support EY's efforts in migrating client workloads off their legacy systems. This role involves working across various platforms and cloud service providers, with a primary focus on Azure Open AI and associated LLM services. Collaboration with development teams will be essential to build, deploy, and manage applications that align with business objectives and enhance Legacy Modernization offerings. This is a fantastic opportunity to be part of a leading firm whilst being instrumental in the growth of a new service offering. We are the only professional services organization who has a separate business dedicated exclusively to the financial and non-financial services marketplace. Join Digital Engineering team and you will work with multi-disciplinary teams from around the world to deliver a global perspective.

EY Digital Engineering is a unique, industry-focused business unit that provides a broad range of integrated services that leverage deep industry experience with strong functional capability and product knowledge. The Digital Engineering (DE) practice works with clients to analyse, formulate, design, mobilize and drive digital transformation initiatives. We advise clients on their most pressing digital challenges and opportunities surround business strategy, customer, growth, profit optimization, innovation, technology strategy, and digital transformation.  We also have a unique ability to help our clients translate strategy into actionable technical design, and transformation planning/mobilization.  Through our unique combination of competencies and solutions, EY’s DE team helps our clients sustain competitive advantage and profitability by developing strategies to stay ahead of the rapid pace of change and disruption and supporting the execution of complex transformations.

 

Your Key Responsibilities

  • Application Development
    • Work on R&D initiatives to enhance model performance, efficiency, and alignment with organisational objectives.
    • Manage the technical roadmap, sprint schedules, work with other engineers, providing guidance on best practices.
    • Oversee the design and development of AI applications and accelerators.
  • Architecture Design
    • Assess emerging GenAI and Agentic tools and conduct proofs-of-concept.
    • Optimise generative models for latency, cost, and scalability.
  • Security
    • Implement safeguards to address risks such as bias, misinformation, and harmful outputs, including information security measures.
    • Ensure adherence to data privacy regulations (GDPR, CCPA) and ethical AI standards.
  • People Management
    • Consistently meet commitments in a deadline-driven environment with multiple priorities.
    • Capable of coordinating processes across integrated systems to optimize operational efficiency.
    • Provide mentorship on generative AI best practices.
  • Troubleshooting: Diagnose and resolve issues related to application performance, availability, and reliability.
  • Documentation: Create and maintain comprehensive documentation for application design, deployment processes, and configuration.

 

Skills and Attributes for Success

Required Skills:

  • Programming
    • Strong programming skills in Python and familiarity with Java or .Net.
    • Exposure to UI Frameworks such as Angular/React.
    • Knowledgeable in implementing Data Connectors and API gateways to facilitate seamless system integration.
  • Legacy Systems
    • Hands on experience with Mainframes programming languages like COBOL, JCL, PL1, CICS and Assembler
    • Exposure to CICS using DB2, FTP and VSAM for data processing.
    • Exposure to RPG for AS400 systems is good to have
    • Exposure to HPNS stack is good to have
  • Generative AI
    • Design and supervise the implementation of retrieval-augmented generation (RAG) pipelines, integrating vector databases, LLMs, and proprietary knowledge bases.
    • Hands on experience with creating applications and interfaces with Streamlit.
    • Proficient in Python and AI frameworks such as Langchain, LangGraph, Crew AI, Autogen, and Google ADK, with comprehensive knowledge of Vector DBs, Neo4J, and related Graph Databases.
    • Develop robust agentic workflows utilizing tools like LangGraph, CrewAI, and Autogen to enable autonomous task execution, planning, memory management, tool utilization, and multi-context processing (MCP).
    • In-depth understanding of Vector Databases, Neo4J, and associated Graph Database technologies.
    • Proficient with AI platforms including Copilot Studio, Azure AI Foundry, Google Agent Space, Microsoft 365, Gemini, and M365 Copilot.
    • Experienced with leading large language models (OpenAI GPT-3.5/4, Google Gemini, Claude, LLaMA 3.0), retrieval-augmented generation, and agentic workflow design.
  • Container Orchestration
    • Highly skilled in containerization technologies including Docker and Kubernetes, as well as cloud platforms such as AWS, GCP, and Azure.
  • Collaboration
    • Manage the complete AI lifecycle, encompassing the design, deployment, and maintenance of scalable agent solutions for Technology Analytics.
    • Strong teamwork and communication skills with the ability to work effectively with cross-functional teams.

 

Preferred Qualifications:

  • Certifications: Azure Developer/DevOps Associate or Azure AI Engineer Associate
  • Experience: 4 to 10 years’ experience in software engineering and development, with expertise in Python,should have been trained or worked on Mainframe with familiarity with Java and .Net.
  • Agile Methodologies: Familiarity with Agile development practices and methodologies.
  • Problem-Solving: Strong analytical skills with the ability to troubleshoot and resolve complex issues.

 

Education:

  • Degree: Bachelor’s degree in Computer Science, Engineering, Information Technology, or a related field, or equivalent practical experience

 

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.

Experience Level

Mid Level

Job role

Work location
Work locationChennai, TN, IN, 600032
Department
DepartmentSoftware Engineering
Role / Category
Role / CategorySoftware Backend Development
Employment type
Employment typeFull Time
Shift
ShiftDay Shift

Job requirements

Experience
ExperienceMin. 4 years

About company

Name
NameErnst & Young LLP ( EY India )
Job posted by Ernst & Young LLP ( EY India )

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