AI Specialist
New
Permanent remote-working basis (anywhere in Europe)Full-Time
Salary not disclosed
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Job Details
- Required Skills
- Data scienceChange ManagementPrompt EngineeringLLM
Requirements
- Proven experience leading or influencing initiatives across product, business, or technical domains
- Ability to balance strategic enablement with frequent hands-on technical support
- Familiarity with AI platforms such as Azure AI Foundry, Google AI Studio, OpenAI, Anthropic and Hugging Face, or at least curiosity to learn them and others.
- Strong understanding of core AI concepts, including large language models, ML workflows, and prompt engineering
- Demonstrated awareness of AI architectural patterns and emerging integration standards such as Model Context Protocol (MCP) and Agent2Agent (A2A) protocol
- Excellent communication skills — able to convey technical concepts to non-technical audiences
- Experience managing or supporting projects within a matrixed or decentralized organization
- Awareness of data governance, responsible AI principles, and regulatory considerations
- Demonstrated ability to contribute directly to AI proofs-of-concept (e.g., building a simple ML model, prompt testing, using APIs)
- Past experience bridging business and technical teams, particularly in multi-unit or multi-national settings
- Thought leadership experience — blogs, talks, or internal knowledge-sharing on AI adoption
- Experience with AI product strategy or technical product management
- Familiarity with change management, innovation frameworks, or agile transformation in enterprise environments
- Active engagement with the AI community and industry trends, including new tools, architectural models, and integration best practices
Responsibilities
- Collaborate with each business unit to identify high-impact AI use cases aligned with business goals and customer needs as part of the Vanguard AI specialists’ team.
- Provide guidance and support to business units working in cross-functional teams to implement AI solutions
- Run hands-on to early-stage initiatives, proof-of-concepts and first of a kind project to validate feasibility, unblock teams, or accelerate product development
- Provide education and enablement to specialists and teams in Harris International around the use of AI in product development and deployment.
- Advise on AI pilots and initiatives to demonstrate value and encourage adoption
- Facilitate workshops, lunch-and-learns, and best practice sharing across business units
- Educate stakeholders on AI capabilities, limitations, and ethical considerations
- Champion responsible AI principles, including fairness, transparency, privacy, and accountability
- Act as a connector between business and technical teams to translate ideas into executable projects
- Continuously track emerging AI trends, architectures, and integration protocols (e.g., MCP, A2A) and translate these into practical insights for the organization
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