Executive Director – Applied AI

Jobtailor

Massachusetts

On-site

USD 220,000 - 320,000

Full time

13 days ago

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Job summary

Jobtailor is seeking a seasoned AI leader to define and drive the deployed AI strategy across enterprise units. You will translate business priorities into deployable products and intelligent workflows, partnering with teams to deliver measurable value.

You will architect complex AI deployments, oversee model orchestration and security, and production infrastructure. Build and coach a global AI engineering team and establish scalable delivery practices.

Qualifications

Bachelor's degree in computer science, engineering, data science or related field.
15+ years of technology leadership, enterprise AI transformation or complex solution delivery.
Experience leading senior technical and cross-functional teams.
Hands-on expertise taking ML, generative AI and agentic solutions to production at enterprise scale.
Strong software and product engineering grounding.
Experience integrating AI into complex enterprise platforms and workflows.
Proficiency with Python and AWS.
Experience with LLM orchestration frameworks, vector databases and MLOps/LLMOps.
Proven ability to define and scale enterprise AI initiatives with measurable business value.
Consulting or professional-services experience partnering with senior technology and business leaders.
Executive communication and cross-functional influence skills.
Healthcare or regulated environments experience preferred.

Responsibilities

Define and lead the applied AI deployment strategy, execution roadmap and business integration model across enterprise business units.
Partner with business teams to translate priorities into deployable products, intelligent workflows and redesigned processes.
Lead technical solution architecture for complex AI deployments, including APIs, security controls and production infrastructure.
Oversee end-to-end implementation and scaling of generative AI and workflow automation in production.
Build and coach a globally distributed team of AI engineers.
Establish delivery frameworks and engineering standards for scalability and reliability.
Create reusable AI services, accelerators and integration patterns.
Track performance, adoption and business value through monitoring and feedback loops.
Guide modernization of systems for agentic AI products and enterprise platforms.
Communicate impact, vision, progress and investment needs to executives.

Skills

Applied AI Deployment Strategy

Machine Learning Expertise

Python Proficiency

Cloud Platforms (AWS)

Enterprise AI Transformation

Education

Bachelor's Degree in Computer Science

Master's Degree or MBA Preferred

Tools

LLM Orchestration Frameworks

Vector Databases

Cloud Infrastructure

Job description

Define and lead the applied AI deployment strategy, execution roadmap and business integration model across enterprise business units
Partner directly with business teams to translate strategic priorities into deployable products, intelligent workflows and redesigned processes
Lead technical solution architecture for complex AI deployments, including application architecture, system integration patterns, model orchestration, APIs, security controls and production infrastructure
Lead end-to-end implementation, customization, integration and scaling of generative AI, agentic systems and workflow automation solutions in production environments
Build, lead and coach a small, globally distributed team of forward deployed AI engineers
Establish delivery frameworks and engineering standards supporting scalability, reliability, security, maintainability and operational adoption
Create reusable AI services, accelerators, evaluation frameworks, blueprints and integration patterns
Partner with data, infrastructure, information security, architecture, compliance and business teams
Track solution performance, adoption and business value through monitoring, feedback loops, user analysis and continuous service optimization
Guide modernization of existing systems and processes for integration with agentic AI products, applied AI models and enterprise technology platforms
Communicate business impact, technical transformation vision, delivery progress, risks and investment needs to senior executives and key stakeholders

Requirements

Bachelor's degree in computer science, engineering, data science or a related field
At least 15 years of progressive experience in technology leadership, enterprise AI transformation or complex solution delivery
Experience leading senior technical and cross-functional teams
Deep hands-on expertise taking machine learning, generative AI and agentic solutions from concept through production and enterprise-scale adoption
Strong software and product engineering grounding
Experience integrating AI into complex enterprise platforms, data environments and operational workflows
Hands-on proficiency with Python
Experience with cloud platforms such as AWS
Experience with LLM orchestration frameworks, vector databases, MLOps/LLMOps and software delivery practices
Demonstrated success defining and scaling enterprise-level AI initiatives with measurable business value, automation or performance outcomes
Experience leading forward deployed, solutions engineering or technical consulting teams
Consulting or professional-services experience partnering with senior technology and business leaders
Proven people leadership and organizational development capability
Strong executive communication and cross-functional influence skills
Master's degree, engineering postgraduate degree or MBA preferred
Experience in healthcare, life sciences or another complex regulated environment, or prior zero-to-one startup experience, desirable

Core Competencies

Demonstrates expertise in leading applied AI deployment strategies, integrating complex AI solutions into enterprise platforms, and driving measurable business outcomes. Proven ability to build and lead cross-functional teams while ensuring scalability, security, and operational adoption of AI technologies.

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