AI Evangelist

Atos SE; France; Sur place; EUR 90 000 - 130 000; Plein temps

Résumé du poste

Atos SE seeks an AI consultant to join its global Data & AI practice. The role blends visionary AI evangelism with business leadership to ensure AI initiatives deliver measurable outcomes at scale.

You will drive the firm’s position as a trusted transformation partner, enabling clients across industries to leverage data & AI opportunities while maintaining governance and responsible AI principles.

Qualifications

• Proven experience leading large-scale AI, data, or digital transformation programs in a global enterprise or consulting environment.
• Strong ability to translate AI vision into commercial outcomes and scalable delivery.
• Executive presence with the ability to communicate complex concepts to senior stakeholders.

Responsabilités

• Translate AI trends into high-value client propositions and internal narratives.
• Assess AI maturity and readiness within client organizations to identify gaps.
• Develop actionable AI roadmaps aligning data strategy, governance and responsible AI principles.
• Evangelize AI-powered solutions and GTM offerings across key industry verticals.
• Partner with client executives to shape transformative AI opportunities delivering measurable business impact.

Description du poste

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Job Description:
We are seeking a dynamic and visionary AI consultant to join our global Data & AI practice in the Data & AI business line. This role combines the inspirational energy of an AI evangelist—helping clients, partners, and colleagues see what’s possible—with the commercial acumen and operational discipline of a business leader who ensures that AI initiatives deliver measurable business outcomes. You will drive our position as a trusted AI transformation partner—enabling customers across industries to leverage the opportunities data & AI provides and at scale.

Key Responsibilities

• Translate emerging AI trends and technologies into actionable, high-value propositions for clients and internal operations; creating strategic level narratives that articulate the value of AI.
• Conduct structured assessments of AI maturity and readiness within client organizations. Identify key strategic and operational gaps to drive effective AI adoption and scaling.
• Develop actionable AI roadmaps aligning data strategy, governance, and responsible AI principles.
• Evangelize our portfolio of AI-powered solutions and go-to-market offerings aligned to key industry verticals (e.g., public sector & defence, healthcare & manufacturing, financial services and utilities).
• Partner with client executives to identify and shape transformative AI opportunities that drive measurable business impact.
• Support sales, bids, and account teams with thought leadership, solution design, and executive-level engagement.
• Establish KPIs and performance metrics that link AI investments directly to client and business value.
• Serve as the organisation’s public voice on AI—representing Atos at industry events, media, and partner ecosystems.
• Promote an AI-first mindset internally, fostering innovation and collaboration across technical and non-technical teams.
• Build and nurture relationships with leading technology providers, start-ups, and academic partners to accelerate innovation and co-creation. Governance, Trust, and Responsibility:
• Lead the development and implementation of AI governance frameworks, ensuring ethical, transparent, and compliant deployment across client solutions.
• Work with legal, risk, and data privacy teams to uphold the highest standards of trust and accountability in all AI initiatives.
• Contribute to global policy dialogues and industry collaborations on responsible and human-centric AI.
• Proven experience leading large-scale AI, data, or digital transformation programs in a global enterprise or consulting environment.
• Demonstrated ability to turn AI vision into commercial success—from ideation through to scalable delivery.
• Strong understanding of AI and machine learning technologies, architectures, and emerging trends (e.g., generative AI, MLOps, edge AI).
• Executive presence and the ability to communicate complex technical concepts to senior stakeholders and customers.
• Shaping AI service lines or business units within a systems integrator, consultancy, or technology firm.
• Strong connections within the AI ecosystem—partners, vendors, research communities, and regulators.
• Familiarity with global compliance and ethical frameworks for AI (e.g., EU AI Act, ISO 42001).