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Responsibilitiestransformation initiatives across the organization. This is a senior leadership and consulting role responsible for identifying, shaping, and implementing high-value AI use cases that improve operational efficiency, enhance employee experience, optimize service delivery, and accelerate business outcomes.The successful candidate will work closely with cross-functional and transversal teams across technology, operations, engineering, service management, tooling, and business functions to establish AI as a strategic capability. They will serve as a trusted advisor, thought leader, and hands-on practitioner capable of translating business challenges into scalable AI solutions.This role requires a combination of strong AI expertise, business consulting skills, stakeholder management, and execution excellence.AI Strategy & TransformationDefine and drive the organization's AI vision, roadmap, and transformation strategy.Identify opportunities where AI, Generative AI, Agentic AI, Machine Learning, and automation can create measurable business value.Develop AI use case portfolios aligned with organizational priorities and strategic objectives.Establish frameworks to prioritize AI initiatives based on value, feasibility, risk, and business impact.Act as a trusted advisor to leadership teams on AI adoption and innovation opportunities.Business Consulting & InnovationPartner with business and technology stakeholders to understand challenges and identify AI-driven solutions.Facilitate ideation workshops and design-thinking sessions to generate innovative use cases.Translate business requirements into AI solution architectures and implementation plans.Build compelling business cases, value realization models, and executive presentations.Champion AI adoption and help drive organizational change.Solution Design & ImplementationLead end-to-end delivery of AI initiatives from concept through production deployment.Design and implement solutions leveraging:Generative AILarge Language Models (LLMs)Agentic AIMachine LearningConversational AIPredictive AnalyticsIntelligent AutomationCollaborate with enterprise architecture, engineering, security, and operations teams to ensure scalable and secure implementations.Establish best practices for AI architecture, governance, monitoring, and lifecycle management.Cross-Functional CollaborationWork closely with transversal teams across multiple functions and geographies.Build strong relationships with business leaders, technical teams, and external partners.Influence stakeholders at all levels to drive AI adoption and transformation.Act as the bridge between business strategy and technical execution.AI Governance & Responsible AIEstablish governance frameworks ensuring ethical, secure, compliant, and responsible AI usage.Define standards for model governance, risk management, explainability, and data privacy.Ensure adherence to organizational, customer, and regulatory requirements.Promote responsible AI principles throughout the organization.Capability BuildingCreate and drive AI awareness programs, communities of practice, and training initiatives.Mentor teams on AI concepts, methodologies, and best practices.Foster a culture of innovation and experimentation.Stay current on emerging AI trends, technologies, and industry best practices.Profile requiredrelated discipline.10+ years of experience in technology consulting, digital transformation, data science, software engineering, or AI-related roles.Proven experience leading enterprise-scale AI and digital transformation initiatives.Strong understanding of:Generative AILarge Language Models (OpenAI, Azure OpenAI, Anthropic, Google Gemini, etc.)Agentic AI frameworksMachine LearningNatural Language ProcessingRetrieval Augmented Generation (RAG)Intelligent AutomationExperience designing and deploying AI solutions within enterprise environments.Strong consulting, stakeholder management, and executive communication skills.Experience building business cases and defining measurable value outcomes.Why join usWe are committed to creating a diverse environment and are proud to be an equal opportunity employer. All qualified applicants receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.Business insightAt Socit Gnrale, we are convinced that people are drivers of change, and that the world of tomorrow will be shaped by all their initiatives, from the smallest to the most ambitious. Whether youre joining us for a period of months, years or your entire career, together we can have a positive impact on the future. Creating, daring, innovating, and taking action are part of our DNA. If you too want to be directly involved, grow in a stimulating and caring environment, feel useful on a daily basis and develop or strengthen your expertise, you will feel right at home with us!Still .
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.