AI Solutions Architect

Job Summary

The AI Solutions Architect will lead the technical design and implementation of enterprise AI solutions, including AI copilots, intelligent assistants, document intelligence platforms and AI-powered business workflows. The role will define AI architecture standards, evaluate emerging AI technologies, establish governance practices and mentor technical teams to accelerate AI adoption across the organization. The position requires a strong understanding of Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Agentic AI, AI orchestration frameworks and enterprise system integration. The ideal candidate should be a hands-on professional capable of designing and delivering AI solutions while collaborating effectively with cross-functional teams.

Key Roles and Responsibilities

• AI Solution Architecture: Design scalable Generative AI and Agentic AI solutions aligned with business objectives.
• AI Solution Architecture: Define AI architecture standards, design principles, and implementation frameworks.
• AI Solution Architecture: Evaluate and recommend AI technologies, platforms, and tools based on business needs.
• Generative AI Development: Design and implement AI copilots, enterprise knowledge assistants, and document intelligence solutions.
• Generative AI Development: Develop Retrieval-Augmented Generation (RAG) solutions using enterprise knowledge sources.
• Generative AI Development: Build prompt engineering, evaluation, and optimization frameworks for AI applications.
• Agentic AI Development: Design and develop AI agents capable of autonomous task execution.
• Agentic AI Development: Build multi-agent workflows and orchestration solutions.
• Agentic AI Development: Integrate AI agents with enterprise applications, APIs, and business processes.
• AI Governance & Best Practices: Establish AI development standards, governance frameworks, and security guidelines.
• AI Governance & Best Practices: Ensure AI solutions are scalable, reliable, secure, and maintainable.
• AI Governance & Best Practices: Promote responsible AI practices across projects.
• Technical Leadership: Mentor and provide technical guidance to Data Scientists and Development teams.
• Technical Leadership: Conduct architecture and design reviews.
• Technical Leadership: Encourage knowledge sharing and AI capability development within the Digital Innovation team.
• Business Collaboration: Collaborate with business stakeholders to identify high-value AI use cases.
• Business Collaboration: Translate business challenges into AI-enabled solutions.
• Business Collaboration: Support digital transformation initiatives through AI-driven innovation.
• Continuous Innovation: Stay updated on advancements in Generative AI, Agentic AI, automation, and emerging technologies.
• Continuous Innovation: Evaluate new frameworks, tools, and platforms to enhance organizational AI capabilities.

Qualifications and Experience Required

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Information Technology, Data Science, or a related discipline.
• 5 to 8 years of overall software development or AI experience.
• Minimum 2-3 years of hands-on experience in designing and implementing Generative AI solutions.
• Experience in developing and deploying production-ready AI applications.
• Experience working with cross-functional teams and enterprise software environments.

Technical Skills

• Strong proficiency in Python.
• Experience with OpenAI, Azure OpenAI, Gemini, Claude or similar LLM platforms.
• Hands-on experience with LangChain, LangGraph, CrewAI, LlamaIndex or equivalent AI orchestration frameworks.
• Experience implementing Retrieval-Augmented Generation (RAG) solutions.
• Knowledge of vector databases and embeddings.
• Experience integrating AI solutions using REST APIs and enterprise applications.
• Familiarity with cloud platforms such as AWS or Azure is desirable.

Preferred Skills

• Experience in workflow automation and enterprise integrations.
• Understanding of MLOps/LLMOps concepts.
• Knowledge of the Architecture, Engineering, Construction, and Operations AECO domain will be an added advantage.

Competencies

• Strong analytical and problem-solving skills.
• Excellent communication and stakeholder management abilities.
• Ability to translate business requirements into scalable AI solutions.
• Leadership and mentoring capabilities.
• Passion

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.