Chief Technology Officer (CTO) – AI Transformation

Big Resourcing; United States; Remote; USD 200,000 - 300,000; Full time

Job summary

A leading professional services company is seeking a Chief Technology Officer (CTO) to spearhead their AI transformation initiatives. This role involves defining the AI strategy, modernizing legacy systems, and embedding AI into core products and operations. The ideal candidate will have over 15 years of technology leadership experience, focusing on AI initiatives and cloud platforms. Strong executive communication and stakeholder management skills are essential. This position offers a full-time remote or hybrid work option.

Qualifications

• 15+ years of technology leadership experience in senior engineering or architecture roles.
• Proven experience leading AI/ML initiatives into production.
• Strong background in cloud platforms and modern data architectures.

Responsibilities

• Define and manage enterprise AI, data, and cloud transformation roadmap.
• Lead modernization of legacy systems into cloud-native, API-driven architectures.
• Partner with product leaders to embed AI into customer-facing platforms.

Skills

Technical leadership

AI/ML/GenAI initiatives

Cloud platforms

Business strategy translation

Stakeholder management

Executive communication

Tools

Azure

AWS

GCP

Job description

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

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

• 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

• 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

BigRio is a leading AI, Gen AI, Data and Analytics professional services company. We are focused on Healthcare, Pharma, Digital Health, Provider, and Payer Industry segments with several innovative solutions.