AI Enterprise Architect in Lincolnshire

Energy Jobline
Lincolnshire, United States of America
yesterday

Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Lincolnshire, United States of America

Tech stack

API
Artificial Intelligence
Amazon Web Services (AWS)
Azure
Cloud Computing
Information Systems
Continuous Integration
Data Architecture
Distributed Systems
Machine Learning
Software Architecture
Google Cloud Platform
Large Language Models
Snowflake
Multi-Agent Systems
Generative AI
Event Driven Architecture
AI Platforms
Kubernetes
Infrastructure Automation Frameworks
Information Technology
Enterprise Integration
Machine Learning Operations
Virtual Agents
Databricks

Job description

Our amazing partner is a leader in outdoor exploration and retail world. They are looking for an AI Enterprise Architect will lead the strategy, architecture, and delivery of enterprise AI capabilities across the organization. This is a hands-on leadership role responsible for designing, implementing, and scaling production AI solutions that deliver measurable business value.

Requirements

  • Bachelor's degree in Computer Science, Engineering, Information Systems, or related field (or equivalent experience). \n

  • 10+ years of experience in Enterprise, Solution, or Software Architecture. \n

  • Proven experience designing and delivering production AI, Generative AI, or Machine Learning solutions. \n

  • Hands-on experience with Large Models (LLMs), AI agents, Retrieval-Augmented (RAG), and enterprise AI applications. \n

  • Strong background in cloud platforms (AWS, Azure, or Google Cloud), APIs, distributed systems, and enterprise integration. \n

  • Experience with AI platform architecture, data architecture, security, governance, and production operations. \n

  • Knowledge of LLMOps, MLOps, CI/CD, Infrastructure as Code, and AI lifecycle management. \n

  • Strong understanding of AI security, responsible AI, and enterprise governance. \n

  • Excellent communication skills with the ability to influence executives and technical teams. \n

  • Demonstrated ability to lead AI initiatives from strategy through measurable business outcomes \n, * Experience building enterprise AI platforms or Centers of Excellence. \n

  • Experience with Azure AI, Amazon Bedrock, Vertex AI, Snowflake, Databricks, or similar platforms. \n

  • Experience with AI agent frameworks, Model Context Protocol (MCP), and multi-agent architectures. \n

  • Knowledge of Kubernetes, cloud- architectures, APIs, and event-driven systems. \n

  • Experience implementing AI governance, FinOps, observability, and enterprise security controls. \n

  • Relevant cloud, AI, architecture, or security certifications.

Benefits & conditions

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  • Define and execute the enterprise AI architecture strategy and multi-year roadmap. \n

  • Design scalable architectures for Generative AI, AI agents, machine learning, and intelligent automation. \n

  • Lead AI initiatives from business requirements through implementation and production deployment. \n

  • Develop prototypes and reference architectures to validate technical approaches. \n

  • Establish reusable AI platforms, services, standards, and best practices. \n

  • Define architecture patterns for LLMs, RAG, AI agents, APIs, integrations, and enterprise data. \n

  • Partner with engineering teams to ensure AI solutions are secure, scalable, reliable, and production-ready. \n

  • Establish standards for AI governance, security, observability, evaluation, and operational excellence. \n

  • Evaluate emerging AI technologies, vendors, and platforms while minimizing technical debt and vendor lock-in. \n

  • Translate complex technical concepts into business-focused recommendations for executive leadership. \n

  • Drive adoption of enterprise architecture standards while maintaining a bias toward execution and business outcomes. \n

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