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AI Solutions Architect (R122902 AI Solutions Architect)

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London
6 months ago
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Job Description

Job Description:

As anAI Solutions Architectat Mars Global Services, you will lead the design, integration, and deployment of AI-powered solutions to enhance the Associate experience, with a strong focus on Generative AI (GenAI) and Conversational AI. In this key role, you will drive AI transformation initiatives within a globally recognized brand, influencing enterprise-wide adoption of AI solutions. Your work will be pivotal in ensuring the successful implementation of scalable and secure AI solutions across Mars' enterprise platforms, while driving AI adoption across the organization.

What are we looking for?

  • Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, or a related field (or equivalent industry experience).
  • 7+ years of experience in AI/ML solution development, architecture, and enterprise integration.
  • Expertise in LLMs, NLP/NLU, Conversational/GenAI, AI Search, and Virtual Agents.
  • Proficiency in programming & AI development (Python, OpenAI APIs, MLOps frameworks).
  • Nice-to-Haves:
    • Experience with multilingual AI models for global translation.
    • AI certifications (e.g., Azure AI Engineer, Google ML Engineer, TOGAF).

What would be your key responsibilities?

  • Design and implement enterprise-scale AI solutions, focusing on Conversational AI, Generative AI, and AI-powered automation to enhance business operations.
  • Define and maintain the technical product roadmap, ensuring scalability, security, compliance, and alignment with business goals.
  • Develop and deploy custom AI models (NLU, NLG, AI Search, Virtual Agents) and integrate with SaaS platforms (e.g., ServiceNow, Workday, OpenAI) to improve user experience.
  • Establish AI governance frameworks to align with Responsible AI practices and ensure compliance with data privacy laws (e.g., GDPR, CCPA).
  • Drive adoption of GenAI-powered tools for self-service automation, analytics, and search capabilities, while providing leadership and mentorship to AI and engineering teams.
  • Identify and mitigate AI risks (e.g., model drift, data bias) and continuously refine AI models and solutions through performance monitoring and feedback loops.
  • Expertise in AI/ML algorithms, enterprise-scale applications, and SaaS AI platforms (e.g., ServiceNow Now Assist, Workday Illuminate, SAP, Microsoft CoPilot, OpenAI, Mistral), with experience integrating AI solutions with enterprise systems (Microsoft, Workday, SAP) to enable connected experiences across search and conversational AI.

What can you expect from Mars?

  • Work with over 130,000 diverse and talented Associates, all guided by the Five Principles.
  • Join a purpose driven company, where we’re striving to build the world we want tomorrow, today.
  • Best-in-class learning and development support from day one, including access to our in-house Mars University.
  • An industry competitive salary and benefits package, including company bonus.

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