Certainly! Below is a professionally rewritten, SEO-optimized, and human-like article of approximately 1,500 words based on the Responsible AI Engineer job description:

Responsible AI Engineer – Champion Ethical AI Solutions at Scale

Location: Bengaluru
Experience Required: 12+ years
Job Type: Full-Time
Job Code: ATCI-4929892-S1854643

Introduction

Are you passionate about building artificial intelligence (AI) systems that are not only powerful but also ethical, transparent, and socially responsible? Accenture is seeking an experienced and visionary Responsible AI Engineer to join our Bengaluru office. In this leadership position, you will be at the forefront of shaping the future of AI by ensuring our systems uphold the highest standards of ethics, fairness, and sustainability.

As a global leader in technology and professional services, Accenture is committed to advancing AI innovation with responsibility and trust. We invite you to bring your expertise and become a driving force in defining and implementing responsible AI frameworks across industries.

About Accenture

Accenture is a global professional services company with industry-leading capabilities in digital transformation, cloud, security, and AI. With a presence in over 120 countries and a workforce exceeding 700,000 professionals, Accenture empowers businesses to embrace change and create 360° value for stakeholders. Learn more about our AI ethics and innovation approach at www.accenture.com.

Role Overview: Responsible AI Engineer

In this role, you will act as a subject matter expert (SME) and team leader focused on evaluating, designing, and mitigating ethical risks in AI systems. You’ll work collaboratively across multiple teams to implement frameworks and tools that ensure AI initiatives align with core principles such as fairness, accountability, transparency, and sustainability.

You will lead audits, develop governance strategies, and establish technology-based solutions that mitigate AI bias, ensure inclusivity, and meet regulatory compliance. Your influence will extend across projects, teams, and executive decisions to ensure responsible AI becomes an embedded standard in the organization’s innovation lifecycle.

Key Responsibilities

1. Responsible AI Framework Development

• Design, develop, and implement responsible AI frameworks tailored to business needs.
• Create standards, procedures, and tools to operationalize AI ethics across the enterprise.
• Define KPIs and benchmarks for responsible AI implementation.

2. AI Systems Assessment & Auditing

• Evaluate AI solutions and machine learning models for ethical risks and compliance gaps.
• Conduct end-to-end audits to ensure adherence to fairness, accountability, and transparency standards.
• Analyze outputs for bias, explainability, and robustness.

3. Technology Mitigation Strategies

• Recommend and implement algorithmic changes to mitigate potential ethical harms.
• Guide development teams on incorporating bias-detection and correction methodologies.
• Leverage responsible AI tools and libraries for real-time risk detection.

4. Governance and Compliance

• Collaborate with legal, data governance, and compliance teams to integrate AI risk controls.
• Ensure AI projects meet global regulatory guidelines and industry best practices.
• Maintain thorough documentation for auditability and traceability.

5. Leadership & Collaboration

• Act as a strategic advisor and SME across business units.
• Make critical decisions impacting multiple AI project streams.
• Guide and mentor junior team members on ethical AI design.
• Coordinate with product owners, data scientists, and engineering leaders to integrate responsible AI practices seamlessly into workflows.

Required Skills and Experience

To excel in this senior-level role, candidates must bring a deep understanding of responsible AI principles and practical experience in ethical systems implementation.

Professional Experience

• A minimum of 12 years of experience, with significant time spent working directly on responsible AI initiatives.
• Proven track record of developing and enforcing AI governance frameworks in a corporate or consulting environment.
• Experience influencing strategic decisions in cross-functional teams.

Technical Competencies

• In-depth knowledge of responsible AI tools, algorithms, and methodologies.
• Proficiency in identifying and mitigating AI bias, fairness violations, and transparency gaps.
• Solid understanding of machine learning models, statistical validation, and explainable AI (XAI).
• Familiarity with Python, ML libraries (like scikit-learn, TensorFlow), and responsible AI toolkits (such as IBM AI Fairness 360, Microsoft Responsible AI dashboard).

Governance & Ethics Knowledge

• Strong grounding in AI ethics, legal and regulatory considerations.
• Experience working with global frameworks such as EU AI Act, OECD AI Principles, and NIST AI Risk Management Framework.
• Ability to define policies for model documentation, audit logging, and stakeholder engagement.

Communication & Leadership

• Exceptional communication skills to interface with technical and non-technical stakeholders.
• Ability to lead teams, conduct workshops, and deliver executive-level presentations.
• Confident decision-maker with a collaborative mindset.

Educational Requirements

• A full-time education spanning at least 15 years (e.g., Bachelor’s or Master’s degree in Computer Science, Data Science, Ethics in AI, or related disciplines).

Work Environment

This is a full-time position based out of Accenture’s Bengaluru office. The environment is fast-paced and collaborative, with flexible policies to support work-life integration. Candidates should be open to working across time zones and global teams when necessary.

Accenture fosters an inclusive culture that values ethics, diversity, and innovation. The ideal candidate will thrive in a setting that encourages ownership, accountability, and experimentation.

Why Join Accenture as a Responsible AI Engineer?

• Pioneer Ethical AI: Influence how the world’s largest organizations build AI systems grounded in fairness and accountability.
• Work with Thought Leaders: Collaborate with global AI ethicists, policy-makers, and technologists.
• Shape the Future: Contribute to the design of ethical technologies that touch millions of lives.
• Continuous Learning: Access cutting-edge AI resources, certifications, and knowledge networks.
• Impact at Scale: Lead transformative projects for clients in financial services, healthcare, retail, and more.

Career Growth Opportunities

Joining as a Responsible AI Engineer opens pathways to leadership and strategic roles such as:

• Responsible AI Manager or Director
• AI Governance & Ethics Lead
• AI Risk and Compliance Consultant
• Chief AI Ethics Officer (long-term growth)

Ideal Candidate Profile

• A visionary technologist committed to ethical innovation.
• A proactive leader who thrives in interdisciplinary environments.
• An expert in responsible AI frameworks with the drive to scale them across organizations.
• A lifelong learner constantly exploring advances in technology and ethics.

Application Process

If you are passionate about shaping a future where AI is trusted and transparent, we welcome you to apply. Bring your leadership, technical expertise, and ethical mindset to Accenture and redefine what’s possible with responsible AI.

Apply today to help build a safer, fairer, and more inclusive digital future.

SEO Title:

Responsible AI Engineer Job in Bengaluru | Lead Ethical AI Practices at Accenture

Meta Description:

Join Accenture as a Responsible AI Engineer in Bengaluru. Drive ethical, fair, and transparent AI systems at scale. Apply your expertise in AI governance, bias mitigation, and responsible innovation.

Keywords:

Responsible AI Jobs, AI Ethics Careers, Ethical AI Engineer, Accenture AI Jobs, Bengaluru Tech Jobs, AI Governance, Responsible Machine Learning, AI Compliance Roles, AI Risk Management, Ethical AI Development

Let me know if you need social media snippets, a feature image, or email copy to promote this job posting.

Apply Here