Bengaluru Karnataka Ai prompt consultant Jobs – 144 Open Jobs Today

AI Governance & Responsible AI Consultant
Bosch Group —Bengaluru, Karnataka
- Full-time
- Doctoral degree
- Master's degree
- Bachelor's degree
Quick apply
AI Prompt Engineer
BPM LLP —Bengaluru, Karnataka
- Full-time
- Salesforce
- English
- Windows
GN - Song - Service – GEN AI Agentic Innovation - Consultant
Accenture —Bengaluru, Karnataka
- Full-time
- Customer service
- Salesforce
- Microsoft Office
6d
Gen AI Consultant
Infosys Limited —Bengaluru, Karnataka
- Computer Science
- Master's degree
- Bachelor's degree
Security Consultant Intern
cloudsek —Bengaluru, Karnataka
- Computer Science
- Research
- Presentation skills
- Flexible schedule
- Food provided
S&C GN - TS&T –Enterprise AI Value Strategy - Consultant
Accenture —Bengaluru, Karnataka
- Full-time
- Azure
- Master's degree
- AWS
Senior Consultant | Generative AI | Bengaluru | Engineering | Platform Development & Integration
Deloitte —Bengaluru, Karnataka
- Computer Science
- Master's degree
- Databases
2h
DevSecOps Consultant
Infosys Limited —Bengaluru, Karnataka
- Azure
- AI
Agentic AI + APEX / Integration Consultant
Elfonze Technologies —Bengaluru, Karnataka
- Full-time
- Oracle
- Java
- SQL
T&T| Customer| S&S| Senior Consultant | AI Generative | Bengaluru
Deloitte —Bengaluru, Karnataka
- Azure
- Databases
- AWS
Tech S and T-AI-ML senior-GDSN02
EY —Bengaluru, Karnataka
- Azure
- Master's degree
- Machine learning
20h
S&C Global Network - AI - Software & Platform - Gen AI - Consultant
Accenture —Bengaluru, Karnataka
- Full-time
- Azure
- Computer Science
- Java
Data Technology Consultant (AI Consultant)
EPAM Systems, Inc. —Bengaluru, Karnataka
- System design
- Master's degree
- AI
- Health insurance
- Paid time off
S&C GN - TS&T – Digital Foundations - AI Architect - Consultant
Accenture —Bengaluru, Karnataka
- Full-time
- Azure
- Writing skills
- Public speaking
Technical Consultant Intern (India)
Ushur —Bengaluru, Karnataka
- Full-time
- Hybrid work
- Java
- Master's degree
- SQL
- Health insurance
Sr. Consultant, Info Security, App, Data, Cloud Security - AI
Cargill —Bengaluru, Karnataka
- Azure
- Computer Science
- Master's degree
Product Consultant (Associate) - Supply Chain | Sep 2026 Start
Fulfil.IO Inc. —Bengaluru, Karnataka
- ₹16,00,000 - ₹20,00,000 a year
- Full-time
- English
- Finance
- Project management
- Paid time off
S&C Global Network - AI - Data Strategy – Analyst
Accenture —Bengaluru, Karnataka
- Full-time
- Microsoft Powerpoint
- Azure
- Microsoft Outlook
13d
S&C Global Network - AI - Healthcare CCAI -Consultant
Accenture —Bengaluru, Karnataka
- Full-time
- Azure
- Computer Science
- Master's degree
AI Automation Engineer
Beghou Consulting —Bengaluru, Karnataka
- Azure
- Master's degree
- Databases

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AI Governance & Responsible AI Consultant

Bosch Group -
Bengaluru, Karnataka

Quick apply

Job details

Full-time

Qualifications

Doctoral degree
Master's degree
MCA
Bachelor's degree
NIST standards
B.E.
AI
RMF

Full job description

Company Description

Bosch Global Software Technologies Private Limited is a 100% owned subsidiary of Robert Bosch GmbH, one of the world's leading global supplier of technology and services, offering end-to-end Engineering, IT and Business Solutions. With over 27,000+ associates, it’s the largest software development center of Bosch, outside Germany, indicating that it is the Technology Powerhouse of Bosch in India with a global footprint and presence in the US, Europe and the Asia Pacific region.

Job Description

Roles & Responsibilities :

This role defines the enterprise framework for safe, ethical, explainable, and compliant AI. Based in the AI CoE, the consultant sets Responsible AI policies, explainability and governance standards, AI risk classification, and regulatory readiness across the AI lifecycle — advising engineering, product, legal, and business teams, and orchestrating security testing. The mandate is to make AI trustworthy and auditable.

Key responsibilities

Responsible AI Framework

Define and maintain Responsible AI principles, policies, and implementation guidelines — covering fairness, transparency, accountability, privacy, safety, robustness, and human oversight.
Create Responsible AI assessment templates for AI and GenAI use cases.
Define AI risk-classification approaches based on impact, data sensitivity, autonomy, user exposure, and regulatory relevance.
Support review boards and governance forums for high-risk AI initiatives.

Explainability and Transparency

Define explainability requirements by business criticality, risk level, and regulatory expectation — and advise teams on appropriate XAI approaches.
Establish documentation standards — decision logs, datasheets.
Support business teams in communicating AI-driven decisions in an accountable, and auditable manner.

AI Security and GenAI Risk – Advisory and orchestration

Define AI security requirements and standards — model access, prompt security, data-leakage prevention, adversarial robustness, and abuse prevention — as policy and guardrails.
Establish guidelines for GenAI-specific risks: prompt injection, jailbreaks, insecure tool use, data exfiltration, and unsafe outputs.
Orchestrate AI security testing and red teaming; ensure findings are triaged, tracked, and remediated.
Advise on AI operational risk, including LLMOps observability and cost/FinOps guardrails.

AI Governance and Regulatory compliance

Develop AI lifecycle governance controls — risk assessment, design and data review, model validation, deployment approval, monitoring, and periodic reassessment.
Support compliance with AI regulations and standards (e.g. EU AI Act, NIST AI RMF, ISO/IEC 42001) and sector-specific obligations.
Collaborate with legal, compliance, data privacy, and cybersecurity teams to stay aligned with evolving expectations.

Consult for client engagements

Provide expert guidance to project teams; participate in architecture, model-risk, and production-readiness reviews with practical, innovation-friendly guardrails.
Support Service Line engagements with Responsible AI and governance consulting offerings — client assessments, workshops, and proposals.
Develop and maintain governance playbooks, control libraries, and assessment frameworks.

Experience

8–12 years in AI governance, Responsible AI, model risk, data privacy, compliance, or AI/ML with a governance focus

Expected Skills

Experience defining governance controls, risk frameworks, or compliance processes; ability to design assessment templates and control libraries
Sufficient AI-security and red-teaming literacy to advise and orchestrate — not perform — security engineering
Strong grasp of the AI/ML and GenAI lifecycle — LLMs, RAG, agents, deployment, and monitoring — and their risk surfaces
Familiarity with EU AI Act, NIST AI RMF, ISO/IEC 42001 / 23894, GDPR, or sector-specific AI obligations
Experience working alongside engineering and architecture teams in a services or product organization

Stakeholder skills

Ability to translate complex AI risk into business-friendly guidance across technical, legal, risk, and business teams

Qualifications

Educational qualification:

B.E/B.Tech/MCA/PhD or equivalent Qualification

Experience :

8–12 years in AI governance, Responsible AI, model risk, data privacy, compliance, or AI/ML with a governance focus

Mandatory/requires Skills :

Experience defining governance controls, risk frameworks, or compliance processes; ability to design assessment templates and control libraries
Sufficient AI-security and red-teaming literacy to advise and orchestrate — not perform — security engineering
Strong grasp of the AI/ML and GenAI lifecycle — LLMs, RAG, agents, deployment, and monitoring — and their risk surfaces
Familiarity with EU AI Act, NIST AI RMF, ISO/IEC 42001 / 23894, GDPR, or sector-specific AI obligations
Experience working alongside engineering and architecture teams in a services or product organization

Preferred Skills :

Quick apply

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