Artificial Intelligence Solutions Architect
Full Time
Mid Level
Posted 4 weeks ago
Interested in this position?
Upload your resume and we'll match you with this and other relevant opportunities.
Upload Your ResumeAbout This Role
This role will lead the design, development, and execution of the company's artificial intelligence (AI) innovation strategy, shaping its long-term competitive advantage through AI adoption. The Solutions Architect will embed emerging technologies into products, services, and internal processes, while also serving as a thought leader and change agent.
Responsibilities
- Define, communicate, and execute a forward-looking AI innovation roadmap aligned with company strategy and long-term growth objectives
- Prioritize high-impact AI opportunities across multiple domains, including product development, customer experience, and operational excellence
- Serve as a trusted advisor to the executive team on AI adoption, investment, and risk mitigation
- Continuously monitor global AI trends, platforms, and research breakthroughs to identify disruptive opportunities
- Lead the evaluation and piloting of new technologies, from generative AI and advanced analytics to automation and decision-support systems
- Build scalable frameworks for identifying, testing, and transitioning AI innovations from concept to market-ready solutions
- Oversee end-to-end delivery of AI initiatives, including architecture, development, deployment, and performance measurement
- Establish best practices in MLOps, governance, and responsible AI use
- Cultivate an AI-literate culture across the organization, offering workshops, training, and internal communications
- Champion responsible AI practices, ensuring fairness, transparency, and compliance with regulatory and ethical standards
Requirements
- Architect level experience in innovation, AI/ML strategy, or product development
- Proven track record of delivering AI solutions at scale, from ideation through deployment and commercialization
- Deep expertise in AI architectures (e.g., transformers, generative models), ML frameworks, and modern infrastructure for AI/ML workloads
- Demonstrated knowledge of responsible AI frameworks, model bias mitigation, and regulatory compliance
- Exceptional executive presence, communication, and stakeholder management skills
- Recognized as a thought leader through publications, patents, speaking engagements, or community leadership
- Entrepreneurial mindset with experience driving innovation in startups, scale-ups, or fast-evolving business environments
Qualifications
- Architect level experience in innovation, AI/ML strategy, or product development.
Skills
Generative AI
*
MLOps
*
AI architectures
*
ML frameworks
*
* Required skills