AmbitionBox
Search
Jobs
- Reviews
- Salaries
- Interview Questions
- About Company
- Benefits
- Jobs
- Office Photos
- Community
Add office photos
Engaged Employer
i
This company page is being actively managed by
Ernst & Young Team. If you also belong to the team, you
can get access from
here
Ernst & Young
Compare
All Filters
2288 Ernst & Young Jobs
EY - GDS Consulting - AI and DATA - Gen AI - Senior -R AI
5-6 years
₹ 6 - 24L/yr (AmbitionBox estimate)
This is an estimate of the average salary range for this
position. It has not been reviewed by the company, and
the actual salary may differ.
Bangalore / Bengaluru
1 vacancy
EY - GDS Consulting - AI and DATA - Gen AI - Senior -R AI
Ernst & Young
posted 6hr ago
Job Role Insights
Flexible timing
Key skills for the job
Job Description
As a Senior AI Engineer specializing in Responsible AI (RAI), you will lead the integration of responsible AI principles from project inception to deployment. With a solid understanding of cloud platforms such as Azure or AWS, you will champion ethical AI practices, help enterprises mitigate AI-related risks, and drive the adoption of Responsible AI solutions. Your role will involve building automated Responsible AI guardrails, streamlining AI concepts, Detecting and Mitigating AI system risks, ensuring compliance, and strengthening service offerings. This position also requires hands-on expertise in monitoring and observability, MLOps, and AI/ML lifecycle management.
Responsibilities
- Embed Responsible AI principles throughout the AI/ML lifecycle, ensuring fairness, transparency, accountability, and compliance with data privacy standards (e.g., GDPR, CCPA, HIPAA ).
- Design, codify, and implement automated Responsible AI guardrails to monitor fairness, explainability, robustness, and safety in real time.
- Build and enforce Responsible AI metrics (e.g., bias, robustness, interpretability) using frameworks like Fairlearn, AI Fairness 360, SHAP, and LangChain integrations.
- Define, document, and propagate best practices for Responsible AI adoption, integrating technical concepts like model interpretability, adversarial robustness, and secure data handling protocols.
- Establish monitoring pipelines to track model performance, bias, drift, and other metrics in real time using tools like Arize AI, MLflow , and Langfuse.
- Develop observability solutions to improve AI/ML lifecycle management, ensuring models are explainable, reliable , and secure.
- Deploy Responsible AI tools, frameworks, and solutions to cloud platforms such as Azure and AWS , leveraging orchestration tools (e.g., Kubernetes, Docker ) to ensure scalability, reliability, and compliance across cloud environments.
- Build dashboards and analytics tools to provide actionable insights into AI system behavior and performance.
- Implement Responsible AI measures in Agentic architectures, ensuring agent behaviors align with ethical guidelines and enterprise objectives.
- Develop mechanisms for monitoring and governing multi-agent systems and workflows that include autonomous LLM agents.
- Incorporate LLM-based evaluation mechanisms, leveraging LLMs as judges to assess model outputs for ethical and quality adherence.
- Lead teams to monitor emerging AI trends and advancements, ensuring the organization remains at the forefront of Responsible AI practices.
- Drive innovation by implementing scalable and ethical AI solutions that align with Responsible AI guidelines.
- Mentor junior engineers, fostering a culture of ethical AI development and knowledge sharing.
- Develop frameworks for reproducible, transparent , and compliant AI solutions.
- Collaborate with cross-functional teams to design and implement AI Ops and MLOps pipelines that integrate Responsible AI principles .
- Ensure pipelines automate compliance checks and streamline Responsible AI processes across the ML lifecycle.
- Conduct regular technical audits of ML/DL and LLM-based systems to detect and mitigate issues such as bias, drift, hallucinations, and unintended consequences.
- Ensure robust monitoring systems are in place to address AI risks and maintain compliance with regulatory requirements.
Requirements
- At least 5+ years of experience in technical roles focused on AI/ML development, with a minimum of 1+ year of experience implementing Responsible AI principles.
- Expertise in embedding Responsible AI principles across the AI/ML lifecycle, including bias detection, explainability, drift analysis, and adherence to regulatory standards such as GDPR, CCPA, and HIPAA.
- Proficiency in frameworks and tools for Responsible AI , such as Fairlearn, AI Fairness 360, SHAP, and LangChain, to assess and enforce ethical AI metrics.
- Strong knowledge of AI risk mitigation strategies, including automated guardrails for fairness, robustness, and safety compliance.
- Advanced hands-on experience with Python, FastAPI, and Flask for developing scalable AI/ML solutions.
- Proven experience with cloud platforms like Azure and AWS , including deployment, containerization, and orchestration using Kubernetes and Docker.
- Extensive experience in AI/ML model lifecycle management, with practical knowledge of monitoring tools like MLflow, Arize AI , and Langfuse for observability.
- Expertise in building and managing MLOps pipelines, ensuring integration of Responsible AI principles and automating compliance checks.
- Strong problem-solving and analytical skills, with a focus on design thinking, architecture creation, and developing frameworks for reproducible and scalable AI solutions.
- Experience in multi-agent systems and workflows, with an understanding of agentic architectures and their alignment with Responsible AI objectives.
- Knowledge of emerging AI governance trends, including leveraging LLMs as judges to validate outputs and ensure ethical compliance.
- Excellent communication and collaboration skills, with a demonstrated ability to work in cross-functional teams and mentor junior engineers.
Good to Have Skills
- Proficiency in design thinking and creating scalable AI architectures.
- Familiarity with DevOps practices , including CI/CD pipelines for AI/ML systems.
- Hands-on experience with advanced AI/ML model fine-tuning and optimization techniques.
- Exposure to frameworks like LangChain, Llamaindex.
Employment Type: Full Time, Permanent
Read full job descriptionErnst & Young Interview Questions & Tips
Prepare for Ernst & Young Consultant roles with real interview advice
Top Ernst & Young Consultant Interview Questions
Q1. list tuple difference Dictionary and list comprehension Decorators with example Sequencial non sequencial data types Pandas Create dataframe ... read more
asked in
Consultant interview
Q3. What are the top risks faced by an IT company at enterprise level?
asked in
Consultant interview
What people at Ernst & Young are saying
Rating based on 1k Consultant
reviews
Anonymous · Marketing & Communication
in Hyderabad / Secunderabad
Likes
Your career will be absolutely shelved if you work at EYq India. They don't care about your particular skill set or area of expertise, they just throw you in a client role where both parties would be clueless about and expect you to be the one to perform.
Dislikes
EY India is a goddam narcissist organization.
- Skill development - Bad
+5 more
Consultant salary at Ernst & Young
reported by
12k
employees
₹6
L/yr - ₹20
L/yr
8%
less
than the average Consultant Salary in India
View more details
What Ernst & Young employees are saying about work life
based on 10.6k employees
Flexible timing
Monday to Friday
No travel
Day Shift
Ernst & Young Benefits
View more benefits
Compare Ernst & Young with
Deloitte
Compare
PwC
Compare
EY Global Delivery Services ( EY GDS)
Compare
Accenture
Compare
Cognizant
Compare
TCS
Compare
Amazon
Compare
Wipro
Compare
Capgemini
Compare
IBM
Compare
Compare
Microsoft Corporation
Compare
Infosys
Compare
KPMG India
Compare
Bain & Company
Compare
McKinsey & Company
Compare
BCG
Compare
ZS
Compare
Mercer
Compare
Willis Towers Watson
Compare
Similar Jobs for you
Ernst & Young Bangalore / Bengaluru Office Locations
Bangalore Office
Ernst & Young, 3rd Floor, Tower C, RMZ Infinity Municipal No. 3, Survey No 1477/2 & 10, Old Madras Road, Benniganahalli, K.R. Puram
Bangalore
Karnataka 560016
Karnataka 560016
Bengaluru Office
Ernst & Young
Tower C, 3rd Floor, RMZ Infinity
Municipal No. 3, Old Madras Road
Survey No 1477/2 & 10
Benniganahalli, K.R. Puram
560016 Bengaluru
Ernst & Young
UB City, Canberra Block
12th & 13th Floor
No. 24, Vittal Mallya Road
Bengaluru
Bengaluru
560001
560001
EY - GDS Consulting - AI and DATA - Gen AI - Senior -R AI
5-6 Yrs
Bangalore / Bengaluru
Share an Interview