Job Description
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
- AI & 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
- Architecture & 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
- Act 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
- Ability to translate business strategy into technical execution
- Excellent executive communication and stakeholder management skills
- Preferred / Nice to Have
- Fintech, Healthcare, life sciences, 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
- AI 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
Job Type: Full-time
Pay: $190,000.00 - $210,000.00 per year
- Benefits:
- 401(k)
- Dental insurance
- Health insurance
- Paid time off
- Vision insurance
- Experience:
- C level leadership: 3 years (Required)
- AI, GenAI, ML: 5 years (Required)
- tech leadership including senior engineering or architecture : 10 years (Required)
Work Location: Remote
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