Job Title: Chief Technology Officer (CTO) - AI Transformation Employment Type: Full-Time
Location: Remote / Hybrid (US preferred, global collaboration)
Reports To: CEO / Executive Leadership
Role Overview We are seeking a visionary
Chief Technology Officer (CTO) - AI Transformation to lead enterprise-wide adoption of Artificial Intelligence, Data, and Cloud-native technologies. This role is responsible for defining and executing the company's AI strategy, modernizing legacy platforms, and embedding AI into core products, operations, and decision-making processes.
The ideal candidate blends deep technical credibility with strong business acumen and has successfully led AI initiatives from concept to production at scale.
Key Responsibilities I & Technology Strategy - Define and own the enterprise AI, data, and cloud transformation roadmap
- Drive adoption of GenAI, LLMs, ML, and intelligent automation across products and operations
- Identify high-impact AI use cases aligned to business outcomes and ROI
rchitecture & Platform Modernization - Lead modernization of legacy systems into cloud-native, API-driven, AI-ready architectures
- Oversee data platform strategy including data lakes, warehouses, real-time pipelines, and governance
- Ensure scalability, security, privacy, and compliance (HIPAA, SOC2, GDPR where applicable)
Product & Innovation Leadership - Partner with Product and Business leaders to embed AI into customer-facing and internal platforms
- Guide development of AI-powered products such as copilots, agents, RAG systems, and predictive analytics
- Evaluate and integrate AI tools, vendors, and platforms (OpenAI, Azure OpenAI, AWS, GCP, etc.)
Execution & Delivery - Ensure AI initiatives move from POC to production with measurable success
- Establish best practices for MLOps, model lifecycle management, and AI observability
- Balance speed, experimentation, and engineering rigor
Leadership & Governance - Build, mentor, and scale high-performing engineering, data, and AI teams
- Establish AI governance, ethical AI standards, and responsible AI frameworks
- ct as a trusted technology advisor to the executive team and board
Required Qualifications - 15+ years of technology leadership experience, including senior engineering or architecture roles
- Proven experience leading AI / ML / GenAI initiatives into production
- Strong background in cloud platforms (Azure, AWS, or GCP) and modern data architectures
- Experience transforming legacy systems in complex enterprise environments
- bility to translate business strategy into technical execution
- Excellent executive communication and stakeholder management skills
Preferred / Nice to Have - Healthcare, life sciences, fintech, or regulated industry experience
- Experience with AI agents, RAG architectures, and LLM orchestration frameworks
- Prior startup or scale-up experience
- Exposure to revenue cycle, operations automation, or decision intelligence platforms
Success Metrics - I initiatives delivering measurable business value and operational efficiency
- Reduced time from AI idea to production deployment
- Improved platform scalability, reliability, and security
Strong alignment between technology strategy and business growth
