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GBR-London-London, United Kingdom
Hybrid
Job Description:
Job Purpose/Overview
As the Technical Lead for Generative AI & Cloud Technologies, the associate will be the primary technical authority driving the design, integration, and development of our enterprise-level artificial intelligence and cloud-native solutions. Reporting to the Global Head of Data, AI andEnterprise Architecture, the person in this role will be a part of the FN Digital Technologies team. The role operates globally and partners with FN business and digital leaders across all functions.
Context and Scope
Mars Food & Nutrition is a leading CPG business that leverages digital technologies to deliver innovative products and services to our customers. As we continue to expand our digital offerings and optimize our operations, we are seeking a highly skilled Technical Architect to join our dynamic team.
The role sits within the Global Food & Nutrition Digital Technology Team and provides Insight, Thought Leadership, and Technology guidance to various tech projects/initiatives for the Segment. This role partners with the central Mars Inc. Digital Technology team to understand capabilities that currently exist as well as what new capabilities are being explored.
Key Responsibilities
Lead the design, development, and implementation of various technology initiatives that align with business requirements and strategic goals.
Rapid Prototyping: Build quick Proof of Concepts (PoCs) and Minimum Viable Products (MVPs) using emerging AI models and frameworks to solve complex business challenges.
Collaborate with cross-functional teams including business stakeholders, project managers, developers, and analysts to gather requirements and define technical specifications.
Create high-level and detailed architecture designs, considering factors such as performance, security, integration, and user experience.
Evaluate and recommend new technologies, tools, and methodologies to improve system performance and reliability.
Stay up-to-date with the latest technology trends, updates, and industry best practices to ensure our solutions remain current and competitive. Assist in the estimation of project timelines, resources, and budgets related to proposed architecture and development efforts.
Contribute to the development and maintenance of technology architecture standards, guidelines, and documentation and roadmaps.
Job Specifications/Qualifications
Between 8-14 years of total software engineering experience, with at least 3+ years in a technical leadership or architectural design capacity.
Strong experience in designing mission-critical Secure, High Availability, performant solution and deployment in large transaction volume environment.
Hands-on Coding expertise with deep knowledge on using Github CoPilot, Claude Code and/or similar AI assisted coding tools.
Designing and implementing multi-agent orchestration, function calling, tool use, long-term memory management, and guardrails.
Proficient with integration technologies and protocols (APIs,ReST,HTTPS etc..)
Expertise in AI/ML algorithms, enterprise-scale applications, and SaaS AI platforms (e.g., MS Copilot, Google Gemini Enterprise, Google Vertex AI, Claude), with experience integrating AI solutions with enterprise systems (Microsoft, Workday, SAP) to enable connected experiences across search and conversational AI.
Advanced architectural expertise in Microsoft Azure, or Google Cloud Platform (Azure/GCP preferred), specifically around modern compute (Kubernetes/AKS/EKS, Serverless), IAM, networks, and secure storage.
2 to 4 years' experience in CPG, Retail domain.
Excellent analytical and problem-solving skills, with the ability to think strategically and translate business requirements into actionable architectural designs.
Strong collaboration skills, working with external technology vendors.
Learning agility and desire to learn new technology.
Strong problem analysis, negotiating and influencing skills.
Proven track record to get things done in a matrixed organization and influencing without authority
Nice to have - AI certifications (e.g., Azure AI Engineer, Google ML Engineer, TOGAF).
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