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Director Ai Automation Jobs (NOW HIRING)

TEGNA Inc.

Director, AI & Automation

New York, NY · On-site

$175K - $200K/yr

This position centers on enterprise-wide automation thru Agentic AI, aiming to enhance operations across all business and media workflows. The ideal candidate will possess substantial technical ...

TEGNA Inc.

Director, AI & Automation

New York, NY

This position centers on enterprise-wide automation thru Agentic AI, aiming to enhance operations across all business and media workflows. The ideal candidate will possess substantial technical ...

TEGNA

Director, AI & Automation

Manhattan, NY · On-site

Drive automation in AI ops. Oversee the building of efficient, reusable code and APIs for AI model integration and user interfaces for AI-powered features. Qualifications : Required : • 12-15 years ...

MVB

Dir, AI and Automation

ABOUT THE ROLE The Director of AI and Automation supports the strategic direction, development, and implementation of AI, RPA, and other technologies in support of automation at MVB. This position ...

CFS

AI Automation Engineer

Fort Wayne, IN · Remote

$130K - $170K/yr

Direct executive and operational collaboration * Opportunity to architect greenfield AI and automation solutions Key Responsibilities of the AI Automation Engineer * Centralize data from multiple ...

BrightView Health

Director of AI & Automation

Norwood, OH · On-site

$100K - $140K/yr

Overview The Director of AI & Automation is a high-impact, hands-on role responsible for identifying, scoping, delivering, and maintaining artificial intelligence and processing automation solutions ...

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All JobsDirector Ai Automation Jobs

Director Ai Automation information

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$31K

$116.6K

$169.5K

How much do director ai automation jobs pay per year?

As of Jul 4, 2026, the average yearly pay for director ai automation in the United States is $116,607.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,500.00 and $139,000.00 per year, depending on experience, location, and employer.

What is the difference between Director Ai Automation vs Data Scientist?

AspectDirector Ai AutomationData Scientist
Required CredentialsBachelor's or Master's in Computer Science, Engineering, or related field; experience in AI and automation projectsBachelor's or Master's in Data Science, Statistics, Computer Science; proficiency in programming and statistical analysis
Work EnvironmentLeads AI automation teams, collaborates with engineering and product teams, oversees project implementationAnalyzes data, develops models, and provides insights; often works in research or analytics teams
Employer & Industry UsageTech companies, manufacturing, finance, and industries adopting AI automationTech firms, research institutions, finance, healthcare, and analytics-focused organizations

While both roles require technical expertise in AI and data handling, the Director Ai Automation focuses on leading automation projects and managing teams, whereas Data Scientists primarily analyze data and develop models. The Director role is more strategic and managerial, while Data Scientists are more hands-on with data analysis and model development.

What are the key skills and qualifications needed to thrive as a Director of AI Automation, and why are they important?

To thrive as a Director of AI Automation, you need deep expertise in artificial intelligence, machine learning, process automation, and strategic leadership, often supported by an advanced degree in computer science or engineering. Familiarity with AI development frameworks, cloud platforms, data analytics tools, and certifications like PMP or Six Sigma are commonly required. Outstanding communication, visionary problem-solving, and team leadership skills set top performers apart in this role. These skills ensure the successful implementation of AI automation strategies that drive efficiency, innovation, and business growth.

What are some common challenges faced by a Director of AI Automation when implementing new automation strategies within an organization?

A Director of AI Automation often encounters challenges such as integrating new AI solutions with existing legacy systems, managing change resistance among staff, and ensuring that automation initiatives align with business goals. Balancing the need for rapid innovation with data privacy and compliance requirements is also critical. Additionally, fostering effective collaboration between data scientists, engineers, and business stakeholders is essential to ensure successful deployment and adoption of AI-driven automation.

What does a Director of AI Automation do?

A Director of AI Automation leads the strategy, development, and implementation of artificial intelligence and automation solutions within an organization. They oversee teams working on automating business processes, integrating AI technologies, and optimizing workflows to improve efficiency and reduce costs. This role involves collaborating with various departments to identify automation opportunities, ensuring compliance with regulations, and staying updated on emerging AI trends. The Director also manages budgets, mentors staff, and measures the impact of automation initiatives on business outcomes.
More about Director Ai Automation jobs
What cities are hiring for Director Ai Automation jobs? Cities with the most Director Ai Automation job openings:
What are the most commonly searched types of Ai Automation jobs? The most popular types of Ai Automation jobs are:
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Director Ai Automation jobs near you
Infographic showing various Director Ai Automation job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 76% Full Time, 22% Part Time, and 1% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $116,607 per year, or $56.1 per hour.
Director, AI & Automation Engineering

Director, AI & Automation Engineering

Alignment Healthcare

Remote

Full-time

Posted 15 days ago

Alignment Healthcare rating

7.3

Company rating: 7.3 out of 10

Based on 16 frontline employees who took The Breakroom Quiz

216th of 277 rated insurance

Job description

Alignment Health is breaking the mold in conventional health care, committed to serving seniors and those who need it most: the chronically ill and frail. It takes an entire team of passionate and caring people, united in our mission to put the senior first. We have built a team of talented and experienced people who are passionate about transforming the lives of the seniors we serve. In this fast-growing company, you will find ample room for growth and innovation alongside the Alignment Health community. Working at Alignment Health provides an opportunity to do work that really matters, not only changing lives but saving them. Together.
The Director, AI & Automation Engineering (remote) is a senior technology leader responsible for defining and executing the enterprise AI and automation strategy that powers our Medicare Advantage business. You will lead a multi-disciplinary team of AI/ML engineers, automation engineers, and related roles to design, deliver, and scale AI-powered systems and intelligent automation that improve care quality, member experience, and operational performance. Partnering closely with DTS leadership, Clinical Operations, Finance, Claims, and Product, you will identify the highest-value AI and automation opportunities, translate them into a cohesive roadmap, and ensure reliable, compliant delivery in a highly regulated environment. This role is pivotal in shaping how we apply cutting-edge AI and automation to reduce administrative burden, drive payment accuracy, and unlock zero wasted potential in how work gets done across the organization.
Job Duties / Responsibilities
  • Set AI & automation strategy aligned to Medicare Advantage priorities. Define and maintain a multi-year AI and automation roadmap that supports strategic goals in Stars, risk adjustment, payment accuracy, prior authorization, clinical quality, and member experience. Partner with C-suite and senior leaders to identify and prioritize high-ROI use cases where AI and intelligent automation create durable competitive advantage.

  • Lead and develop a high-performing AI & Automation Engineering team. Build, lead, and retain a diverse team of AI/ML engineers, automation engineers, and related roles, setting clear goals, expectations, and development plans. Foster a culture of talent density, accountability, and continuous learning - using data-driven performance management and succession planning to grow future technical leaders.

  • Drive enterprise-scale intelligent automation. Lead the design and implementation of enterprise-grade automation solutions - including RPA, workflow orchestration, and process intelligence - across functions such as Claims, UM, Provider Operations, and Member Services. Establish standards and governance for automation development, documentation, and change management to ensure scalability and maintainability.

  • Establish platforms, tooling, and engineering best practices. Own the selection and adoption of AI/ML platforms, cloud services (AWS/Azure/GCP), and automation tools (e.g., UiPath, Power Automate), ensuring they integrate with DTS data platforms and security controls. Define and enforce engineering best practices - CI/CD, MLOps, testing, observability, and documentation - that raise the bar for reliability and time-to-value across all AI and automation initiatives.

  • Partner cross-functionally to deliver measurable business impact. Collaborate with Product, Data Engineering, Clinical Operations, Finance, Compliance, and Security to translate business requirements into technical solutions and track realized value (e.g., cycle time reduction, accuracy improvement, cost-to-serve). Regularly communicate AI and automation strategy, progress, and ROI to senior executives and governance bodies.

  • Embed responsible AI and regulatory compliance. Work with Legal, Compliance, and Privacy to ensure all AI and automation solutions meet CMS, HIPAA, and internal governance standards. Implement frameworks for bias detection, model explainability, auditability, and change control, recognizing that AI outputs directly influence member care decisions and financial outcomes.

  • Manage budget, vendors, and external partnerships. Own the operating budget for AI & Automation Engineering, including cloud spend, third-party platforms, and external partners. Evaluate and manage vendor relationships to ensure investments reflect labor market realities and maximize ROI.

Supervisory Responsibilities
Supervisory Requirements: Fulfill supervisory responsibilities in accordance with organization policies and applicable laws. Responsibilities include interviewing, hiring, and training employees; planning, assigning, and directing work; appraising performance; rewarding and disciplining employees; addressing complaints and resolving problems.
Job Requirements
Experience
Required:
  • 8-12 years of progressive experience in software engineering, data science, or AI/ML roles, with at least 3-5 years in a senior leadership or director-level position

  • Proven track record of delivering production-grade AI/ML systems and large-scale automation solutions in a regulated or enterprise environment

  • Demonstrated experience leading and scaling multi-disciplinary engineering teams, including hiring, performance management, and career development

  • Deep expertise in machine learning, NLP, generative AI (LLMs, RAG pipelines), agentic frameworks, and intelligent process automation (RPA and orchestration)

  • Experience managing budgets, vendor relationships, and technology platform decisions at a department or function level

Preferred:
  • Experience in healthcare - specifically Medicare Advantage, managed care, or payer environments - with fluency in use cases such as risk adjustment, prior authorization, claims processing, Stars ratings, and revenue cycle management

  • Demonstrated knowledge of healthcare data standards including HL7 FHIR, ICD-10/CPT, or DICOM as applied to AI systems

  • Track record of building and scaling an AI or automation engineering function from early stage to enterprise maturity

  • Published research, conference presentations, or demonstrated thought leadership in AI/ML or enterprise automation

Education
Required:
  • Bachelor's degree in Computer Science, Computer & Electrical Engineering, Mathematics, Data Science, or a related quantitative field

  • Equivalent combination of education and demonstrated, progressive senior leadership experience will be considered

Preferred:
  • Master's degree or PhD in Computer Science, AI/ML, or a related quantitative discipline

Training
Required:
  • Demonstrated senior-level proficiency with AI/ML engineering practices, cloud platforms, and enterprise automation through professional experience; formal training or equivalent self-directed mastery accepted

  • Working knowledge of cloud AI/ML governance and platform management (AWS, Azure, or GCP) at a leadership level; certification or equivalent experience accepted

Preferred:
  • Executive or senior-level certification or coursework in AI strategy, responsible AI governance, MLOps, or cloud AI platforms

  • Certification in RPA platforms (UiPath, Automation Anywhere, or Microsoft Power Automate) or advanced MLOps tooling

  • Participation in AI/ML industry bodies, advisory boards, or standards organizations

Skills & Competencies
Technical / Role-Specific Skills
  • AI/ML Strategy & Technical Governance: Deep, hands-on understanding of the full AI/ML lifecycle - model design, training, deployment, monitoring, and MLOps - with the ability to set organizational standards, make high-stakes platform decisions, and guide senior engineers through complex technical challenges

  • Intelligent Automation Leadership: Proven ability to define and govern enterprise automation strategy using RPA platforms (UiPath, Power Automate, Automation Anywhere) and orchestration tools (Airflow, Prefect); experience establishing automation governance frameworks, ROI accountability, and cross-functional program leadership

  • Cloud AI Platform Ownership: Expert-level familiarity with AWS SageMaker, Azure AI / Document Intelligence, Google Cloud Vertex AI, or Databricks; experience owning platform selection, cost governance, and architecture standards at a department level

  • Engineering Leadership & Talent Development: Demonstrated ability to build, scale, and retain high-performing AI engineering teams; strong track record in performance management, succession planning, and cultivating a culture of technical excellence and continuous learning

  • Healthcare Domain & Regulatory Expertise: Deep working knowledge of HIPAA, CMS regulations, and data governance in regulated healthcare environments; advanced fluency in healthcare AI use cases including risk adjustment, payment integrity, clinical NLP, and member engagement

  • Executive Communication & Stakeholder Influence: Ability to translate complex AI and automation strategy into clear executive narratives; experience presenting to boards, C-suite, and governance bodies; demonstrated success influencing senior decision-making through data, business outcomes, and technical credibility

  • Responsible AI & Governance: Applied leadership experience with ethical AI frameworks including bias detection, model explainability (SHAP, LIME, or equivalent), auditability, and responsible AI program design; ability to embed governance standards organization-wide in a high-stakes healthcare context

Licensure
Required: None at this time.
Preferred:
  • Advanced or specialty cloud certification from AWS, Microsoft Azure, or Google Cloud (AI/ML, data, or architecture track)

  • RPA platform certification at an advanced or architect level (UiPath, Automation Anywhere, or Microsoft Power Automate)

Essential Physical Functions:
The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
1. While performing the duties of this job, the employee is regularly required to talk or hear. The employee regularly is required to stand, walk, sit, use hand to finger, handle or feel objects, tools, or controls; and reach with hands and arms.
2. The employee frequently lifts and/or moves up to 10 pounds. Specific vision abilities required by this job include close vision and the ability to adjust focus.
Pay Range: $172,364.00 - $258,547.00
Pay range may be based on a number of factors including market location, education, responsibilities, experience, etc.
Alignment Health is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, age, protected veteran status, gender identity, or sexual orientation.
*DISCLAIMER: Please beware of recruitment phishing scams affecting Alignment Health and other employers where individuals receive fraudulent employment-related offers in exchange for money or other sensitive personal information. Please be advised that Alignment Health and its subsidiaries will never ask you for a credit card, send you a check, or ask you for any type of payment as part of consideration for employment with our company. If you feel that you have been the victim of a scam such as this, please report the incident to the Federal Trade Commission at https://reportfraud.ftc.gov/#/. If you would like to verify the legitimacy of an email sent by or on behalf of Alignment Health's talent acquisition team, please email careers@ahcusa.com.

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