Gen Ai Engineer jobs at Ey in India, Kochi

Your key responsibilities

• Employ tools and techniques used to understand and analyze how to collect, update, store and exchange data
• Define and employ data modelling and design standards, tools, best practices, and related development methodologies
• Design, review, and maintain data models
• Perform data analysis activities to capture data requirements and represent them in data models visualization
• Manage the life cycle of the data model from requirements to design to implementation to maintenance
• Work closely with data engineers to create optimal physical data models of datasets
• Identify areas where data can be used to improve business activities

Skills and attributes for success

• Experience: 3 to 8 years
• Data modelling (relevant knowledge): Minimum 3 years
• Experience in data modeling tools including but not limited to Erwin Data Modeler, ER Studio, Toad, etc.
• Strong knowledge in SQL
• Basic ETL skills to ensure implementation meets the documented specifications for ETL processes including data translation/mapping and transformation
• Good data warehouse knowledge
• Optional visualization skills
• Knowledge in data quality (DQ) and data profiling techniques and tools

To qualify for the role, you must have

• Be a computer science graduate or equivalent with 3 to 8 years of industry experience
• Have working experience in an Agile-based delivery methodology (preferable)
• Flexible and proactive/self-motivated working style with strong personal ownership of problem resolution
• Strong analytical skills and enjoy solving complex technical problems
• Proficiency in software development best practices
• Excellent debugging and optimization skills
• Experience in enterprise-grade solution implementations and converting business problems/challenges to technical solutions considering security, performance, scalability, etc.
• Excellent communicator (written and verbal, formal and informal)
• Participate in all aspects of the solution delivery life cycle including analysis, design, development, testing, production deployment, and support
• Client management skills

Position Overview

As a Senior Risk and Audit Compliance Engineer within Infrastructure and Operations, Platform Infrastructure, you will serve as a subject matter expert, collaborating with multinational clients on designing, implementing, and enhancing end-to-end risk, compliance, and audit frameworks. Leveraging your deep experience and consulting acumen, you’ll lead project teams, mentor staff, and ensure our clients meet evolving regulatory, cyber, and operational risk expectations.

Client Engagement & Advisory

• Lead client-facing risk and compliance consulting projects across industries (finance, technology, healthcare, etc.).
• Advise client executives and Boards on risk identification, internal controls, and compliance program maturity.
• Translate regulatory requirements (SOX, GDPR, ISO 27001, NIST, SOC, etc.) into actionable strategies and operational controls.

Compliance Program Leadership

• Assess, design, and implement enterprise-wide risk management and compliance frameworks for clients.
• Develop risk and control matrices, Risk Control Self-Assessment (RCSA) programs, and ongoing compliance monitoring strategies.
• Perform internal/external audit readiness assessments and help clients prepare for regulatory and certification audits (SOX, SOC 1/2/3, ISO, PCI DSS, etc.).

Audit & Risk Management Execution

• Plan and execute audit engagements, including risk scoping, fieldwork, walkthroughs, and root-cause analysis.
• Evaluate effectiveness and efficiency of existing controls (ITGC, application controls, segregation of duties, etc.).
• Review, test, and validate control design and operating effectiveness. Draft high-quality audit reports and remediation recommendations.
• Drive closure of audit findings through remediation tracking and stakeholder management.

Data Analytics & Automation

• Design and implement automated solutions for control testing, continuous monitoring, and regulatory reporting.
• Employ advanced analytics to identify emerging risks and strengthen compliance posture.
• Stay abreast of and pilot new regulatory technology (RegTech) and audit automation tools for improved consulting delivery.

Project & Team Leadership

• Manage project teams in a matrix and multi-client environment. Mentor and develop supplier/contract staff.
• Oversee project timelines, deliverables, and client satisfaction.
• Support business development by identifying new client needs and contributing to proposals.

Stakeholder & Relationship Management

• Liaise with client and internal leadership, regulatory bodies, and external auditors.
• Deliver compliance/risk training and thought leadership to clients and practice teams.

Required Qualifications & Skills

• Bachelor’s or Master’s degree in Information Security, Engineering, Finance, Business, or related fields.
• 12+ years of progressive experience in risk management, audit, or compliance—minimum 3-6 years in a Big Four or similarly complex consulting or regulated environment.
• Expertise in regulatory frameworks: ISO 27001, NIST, SOX, PCI DSS, GDPR, COBIT, etc.
• Proven success in leading end-to-end client audits, regulatory projects, and compliance assessments.
• Excellent analytical, problem-solving, and communication skills.
• Experience with GRC, audit, Regulatory Technology (RegTEeh), and data analytics platforms (e.g., Archer, ServiceNow GRC, SAP GRC, Tableau, ACL).
• One or more relevant certifications: CISA, CISM, CRISC, SoX, ISO 27001 Lead Auditor/Implementer (strongly preferred).
• Track record managing and developing diverse/high-performing teams.
• Prior experience in working with the Suppliers/Contractors and driving the Risk and Audit along with yearly Internal and External Audits.

Preferred

• Experience with On-Prem, Cloud, Data Privacy, and AI/ML risk and compliance.
• Prior client-facing or business development experience in management consulting.
• Reporting Line
• Reports to: On Prem Hosting Compliance Lead

Responsibilities:

• Lead integration of Microsoft Copilot and Azure OpenAI solutions into Microsoft pursuits across all SR’s.
• Drive AI-powered solution architecture and positioning for Business Acceleration, RFPs, ISD/PDOC deals, and transformation proposals and engagements through estimation templates, unit pricing, accelerators.
• Represent AI capabilities in alliance-led presentations, client demos, and innovation discussions.
• Partner with COEs to develop accelerators, reference architectures, and POCs around Microsoft Copilot.
• Stay on top of all latest Microsoft AI updates, publish updates, and be the Microsoft AI spokesperson within EY.
• Collaborate closely with Cloud, Cyber, Data, Modern Work (MW), and Power Platform SPOCs for integrated AI-driven solutions to achieve overall objectives.

Experience Level:

Minimum 14 years of relevant industry experience.

You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer:

• Support, coaching and feedback from some of the most engaging colleagues around
• Opportunities to develop new skills and progress your career
• The freedom and flexibility to handle your role in a way that’s right for you

Required Knowledge, Skills and Abilities (KSAs)

• Bachelor Degree in Computer Science, Engineering, Mathematics or STEM related area of study, Master's Degree is a plus
• Demonstrated capability to analyse business and technical requirements; and develop solutions to address the requirements.
• Subject matter expertise in Integrated Business Planning (IBP), Demand Planning, Supply planning, Sales & Operation Planning processes preferably with at least 1 end to end implementation experience with a client facing role.
• Strong configuration and design skills required
• Demonstrated experience in SAP package solution implementation tools and methodologies.
• Well-honed SCM skills and expert understanding of the Software Configuration Management. Ability to perform complex SCM tasks and ability to mentor or train others in the configuration management effort.
• A team player with excellent written and verbal communication skills and strong organizational skills. Must have a service-oriented attitude with excellent problem solving and analytical skills. Ability to work independently, self-motivated, and highly focused.
• Effective communication skills and experience with customer facing relationships for both project and sustain related functions

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.

Your key responsibilities

• Design, develop, and implement ETL workflows using Informatica PowerCenter and Talend.
• Collaborate with business analysts and data architects to understand requirements and deliver scalable solutions.
• Perform data extraction, transformation, and loading from multiple sources into target systems.
• Optimize ETL jobs for performance and reliability.
• Ensure data quality, integrity, and compliance with organizational standards.
• Troubleshoot and resolve ETL issues in production and non-production environments.
• Document ETL processes, mappings, and workflows for maintainability.
• Ensure continual knowledge management and contribute to internal learning and development teams
• Building a quality culture.

Skills and attributes for success

• 1 – 3 years of hands-on experience in ETL development with Informatica PowerCenter and Talend.
• Strong knowledge of SQL and relational databases (Oracle, SQL Server, etc.).
• Solid understanding of data warehousing concepts, data modeling, and performance tuning.
• Experience in handling large datasets and complex transformations.
• Familiarity with job scheduling tools and version control systems.
• Excellent problem-solving and communication skills.

To qualify for the role, you must have

• BE/BTech/MCA/MBA
• In-depth understanding of data management and data migration concepts.
• Experience of working in minimum one Insurance domain projects with strong experience of data analysis, profiling.
• Very good understanding of the concepts and technology around data extraction, data migration, data transformation, data load, data profiling, data quality management and metadata management.
• More than one year of experience on ETL and Data migration/warehouse projects
• Good communication skills, proven ability and commitment to working collaboratively towards common goal.
• Possess effective planning and problem-solving skills.
• Multi-tasking attitude, equally comfortable operating from within both the technology & business environments.
• Focused on a quality outcome, excellent inter-personal skills and highly motivated.
• Business Rule Analysis and Design experience.
• knowledge on Data Modelling and UNIX/Shell scripting experience

Ideally, you’ll also have

• Worked on at least one end to end migration project.
• Understanding of Business Intelligence, Data Warehousing and Master Data Management.

What we look for

• A Team of people with commercial acumen, technical experience and enthusiasm to learn new things in this fast-moving environment
• An opportunity to be a part of market-leading, multi-disciplinary team of 1400 + professionals, in the only integrated global transaction business worldwide.
• Opportunities to work with EY Advisory practices globally with leading businesses across a range of industries

You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer:

• Support, coaching and feedback from some of the most engaging colleagues around
• Opportunities to develop new skills and progress your career
• The freedom and flexibility to handle your role in a way that’s right for you

Your key responsibilities

• Have proven experience in driving Analytics GTM/Pre-Sales by collaborating with senior stakeholder/s in the client and partner organization in BCM, WAM, Insurance. Activities will include pipeline building, RFP responses, creating new solutions and offerings, conducting workshops as well as managing in flight projects focused on cloud and big data.
• Need to work with client in converting business problems/challenges to technical solutions considering security, performance, scalability etc. [ 16- 20 years]
• Need to understand current & Future state enterprise architecture.
• Need to contribute in various technical streams during implementation of the project.
• Provide product and design level technical best practices
• Interact with senior client technology leaders, understand their business goals, create, architect, propose, develop and deliver technology solutions
• Define and develop client specific best practices around data management within a Hadoop environment or cloud environment
• Recommend design alternatives for data ingestion, processing and provisioning layers
• Design and develop data ingestion programs to process large data sets in Batch mode using HIVE, Pig and Sqoop, Spark
• Develop data ingestion programs to ingest real-time data from LIVE sources using Apache Kafka, Spark Streaming and related technologies

Skills and attributes for success

• Architect in designing highly scalable solutions Azure, AWS and GCP.
• Strong understanding & familiarity with all Azure/AWS/GCP /Bigdata Ecosystem components
• Strong understanding of underlying Azure/AWS/GCP Architectural concepts and distributed computing paradigms
• Hands-on programming experience in Apache Spark using Python/Scala and Spark Streaming
• Hands on experience with major components like cloud ETLs,Spark, Databricks
• Experience working with NoSQL in at least one of the data stores - HBase, Cassandra, MongoDB
• Knowledge of Spark and Kafka integration with multiple Spark jobs to consume messages from multiple Kafka partitions
• Solid understanding of ETL methodologies in a multi-tiered stack, integrating with Big Data systems like Cloudera and Databricks.
• Strong understanding of underlying Hadoop Architectural concepts and distributed computing paradigms
• Experience working with NoSQL in at least one of the data stores - HBase, Cassandra, MongoDB
• Good knowledge in apache Kafka & Apache Flume
• Experience in Enterprise grade solution implementations.
• Experience in performance bench marking enterprise applications
• Experience in Data security [on the move, at rest]
• Strong UNIX operating system concepts and shell scripting knowledge

To qualify for the role, you must have

• Flexible and proactive/self-motivated working style with strong personal ownership of problem resolution.
• Excellent communicator (written and verbal formal and informal).
• Ability to multi-task under pressure and work independently with minimal supervision.
• Strong verbal and written communication skills.
• Must be a team player and enjoy working in a cooperative and collaborative team environment.
• Adaptable to new technologies and standards.

• Participate in all aspects of Big Data solution delivery life cycle including analysis, design, development, testing, production deployment, and support
• Responsible for the evaluation of technical risks and map out mitigation strategies
• Experience in Data security [on the move, at rest]
• Experience in performance bench marking enterprise applications
• Working knowledge in any of the cloud platform, AWS or Azure or GCP
• Excellent business communication, Consulting, Quality process skills
• Excellent Consulting Skills
• Excellence in leading Solution Architecture, Design, Build and Execute for leading clients in Banking, Wealth Asset Management, or Insurance domain.
• Minimum 7 years hand-on experience in one or more of the above areas.
• Minimum 10 years industry experience

Ideally, you’ll also have

• Strong project management skills
• Client management skills
• Solutioning skills
• Possess the innate quality to become the go to person for any marketing presales and solution accelerator within the practise.

What we look for

• People with technical experience and enthusiasm to learn new things in this fast-moving environment

You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer:

• Support, coaching and feedback from some of the most engaging colleagues around
• Opportunities to develop new skills and progress your career
• The freedom and flexibility to handle your role in a way that’s right for you

Technical Lead:

The Artificial Intelligence (AI) & Machine Learning (ML) Developer is responsible for designing and implementing solutions based on AI and Machine Learning.

Position Summary

• 4+yrs of experience in a similar profile with strong service delivery background
• Lead and guide a team of Junior Developers.
• Design technical specifications for AI, Machine Learning, Deep Learning, NLP, NLU, NLG projects and implement the same.
• Contribute to products or tools built on Artificial Intelligence technologies and paradigms, that can enable high-value offerings.
• Building AI solutions would involve the use and creation of AI and ML techniques including but not limited to deep learning, computer vision, natural language processing, search, information retrieval, information extraction, probabilistic graphical models and machine learning.
• Plan and implement version control of source control
• Define and implement best practises for software development
• Excellent computer skills - proficient in excel, PowerPoint, word and outlook
• Excellent interpersonal skills and a collaborative management style
• Ability to analyse and suggest solutions
• Strong command on verbal and written English language

Essential

• Create Technical Design for AI, Machine Learning, Deep Learning, NLP, NLU, NLG projects and implementing the same in production.
• Solid understanding and experience of deep learning architectures and algorithms
• Experience solving problems in industry using deep learning methods such as recurrent neural networks (RNN, LSTM), convolutional neural nets, auto-encoders etc.
• Should have experience of 2-3 production implementation of machine learning projects.
• Knowledge of open source libraries such as Keras, Tensor Flow, Pytorch
• Experience in LLMs, Gen AI Solution development
• Exposure to Agentic AI concept and hands on experience in POCs or Projects
• Work with business analysts/consultants and other necessary teams to create a strong solution
• Should have in depth understanding and experience of Data science and Machine Learning projects using Python, R etc. Skills in Java/C are a plus
• Should developing solutions using python in AI/ML projects
• Should be able to train and build a team of technical developers
• Desired to have experience as leads in designing and developing applications/tools using Microsoft technologies - ASP.Net, C#, HTML5, MVC
• Desired to have knowledge on any of the cloud solutions such as Azure or AWS
• Desired to have knowledge on any of container technology such as Docker
• Should be able to work with a multi culture global teams and team virtually
• Should be able to build strong relationship with project stakeholders
• Should be able to build strong relationship with project stakeholders