Ai Architect

Job Summary

About The Role

Were looking for an AI Architect to contribute to the organizations overall AI vision strategy and execution ensuring alignment with business objectives and long-term growth goals.

Youll act as a principal architect and implementer of AI solutions from design and prototyping to large-scale deployment across business functions.

This is a senior high-impact role for someone who combines deep technical acumen with strategic leadership and hands-on delivery.

What Youll Do

• Collaborate with executive leadership to identify high-impact AI opportunities that drive operational efficiency innovation and revenue growth.

• Champion the use of Generative AI Machine Learning NLP and advanced analytics to enhance products services and internal processes.

• Oversee the development and governance of data infrastructure ensuring data quality accessibility and compliance with privacy and security standards.

• Establish and enforce AI ethics risk management and responsible AI practices within the organization.

• Develop strategic partnerships with technology providers academic institutions and research organizations to accelerate AI innovation.

• Serve as a technical advisor to leadership translating complex AI concepts into actionable insights and business value.

• Stay ahead of emerging technologies and lead hands-on experimentation prototyping and technical evaluations of new AI tools and models.

Who You Are

• 8 years of experience in Digital Technology with at least 4 years in AI/ML leadership roles across implementation research or product environments.

• Proven track record of end-to-end delivery of AI systems from conceptualization to production including model development MLOps and integration.

• Demonstrated experience translating AI strategy into business impact with measurable ROI and operational outcomes.

• Deep technical expertise in machine learning deep learning frameworks (TensorFlow PyTorch) large language models and cloud AI platforms.

• Strong background in data engineering including data pipelines architecture and governance frameworks.

• Strong software engineering background capable of guiding teams through architectural decisions code reviews and deployment processes.

• Excellent understanding of AI ethics data privacy and regulatory frameworks (GDPR Responsible AI guidelines etc.).

• Exceptional leadership and communication skills able to engage with both technical teams and non-technical executives.

• Entrepreneurial mindset with the ability to innovate experiment and deliver in fast-moving environments.

Key Skills

• APIs
• Pegasystems
• Spring
• SOAP
• .NET
• Hybris
• Solution Architecture
• Service-Oriented Architecture
• Adobe Experience Manager
• J2EE
• Java
• Oracle

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