What are the responsibilities and job description for the AI Architect position at Innovecture?
Role Overview
We are seeking a highly experienced AI / GenAI Architect to lead the establishment and execution of our AI Center of Excellence (COE). This individual will play a critical role in defining the organization’s AI strategy, building foundational capabilities, and driving the successful delivery of AI-powered solutions across the business.
This is a hands-on leadership role requiring a balance of strategic vision, architectural expertise, and technical execution.
Key Responsibilities
- Define AI / GenAI Strategy & Roadmap
- Lead the development of a comprehensive AI strategy aligned with business objectives, including identification of high-impact use cases, technology direction, and phased roadmap execution.
- Establish AI Center of Excellence (COE)
- Design and implement the COE structure, including governance models, operating frameworks, standards, and best practices to enable scalable AI adoption across the organization.
- Collaborate with Product & Engineering Teams
- Partner closely with cross-functional teams to identify, evaluate, and prioritize AI/GenAI use cases that deliver measurable business value.
- Lead Solution Architecture & Delivery Oversight
- Define end-to-end solution architectures for AI initiatives and provide technical leadership to ensure robust, scalable, and secure implementations.
- Hands-on Technical Contribution (30–40%)
- Actively contribute to prototyping, model evaluation, tool selection, and proof-of-concept development to accelerate innovation and validate approaches.
- Bridge Business & Technology
- Serve as a key liaison between business stakeholders and technical teams, translating business needs into actionable AI solutions and ensuring alignment throughout delivery.
Required Qualifications
- 10–15 years of experience in software engineering, data science, or AI/ML, with a strong focus on AI/GenAI architecture and delivery
- Proven experience in defining and implementing AI strategies at an enterprise level
- Hands-on experience with GenAI technologies (LLMs, prompt engineering, RAG, etc.)
- Strong understanding of cloud platforms (Azure, AWS, or GCP) and AI/ML ecosystems
- Experience establishing or contributing to AI COEs or similar transformation initiatives
- Excellent stakeholder management and communication skills, with the ability to influence senior leadership