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Ai Director Jobs (NOW HIRING)

The AI-Directed Software Engineer designs and delivers software across thefull Cloud Nine stack - backend, frontend, native clients, and the infrastructure that runs them- by directing AI systems to ...

The AI-Directed Software Engineer designs and delivers software across thefull Cloud Nine stack - backend, frontend, native clients, and the infrastructure that runs them- by directing AI systems to ...

Finance Director

Mountain View, CA · On-site

$170 - $198/hr

AI is the new electricity, transforming every aspect of our lives. DeepLearning.AI is on a mission to empower everyone to build with AI. We offer world-class education, hands‑on training, access to ...

AI Practitioner

PA · Remote

You'll work directly with our AI Director and have real ownership of client engagements from day one. WHAT YOU'LL DO * Lead department AI assessments baselining teams on the maturity curve and ...

Finance Director

Mountain View, CA · On-site

$180 - $250/hr

AI is on a mission to empower everyone to build with AI. We offer world-class education, hands-on training, access to AI news, a collaborative community and global in-person conferences. We're ...

AI Practitioner

PA · On-site +1

$17.25 - $21/hr

You'll work directly with our AI Director and have real ownership of client engagements from day one. WHAT YOU'LL DO * Lead department AI assessments baselining teams on the maturity curve and ...

Finance Director

Mountain View, CA · On-site

$170K - $198K/yr

AI is on a mission to empower everyone to build with AI. We offer world-class education, hands-on training, access to AI news, a collaborative community and global in-person conferences. We're ...

AI is on a mission to empower everyone to build with AI. We offer world-class education, hands-on training, access to AI news, a collaborative community and global in-person conferences. We're ...

AI is on a mission to empower everyone to build with AI. We offer world-class education, hands-on training, access to AI news, a collaborative community and global in-person conferences. We're ...

AllCare.ai | Director of Care Coordination | On-site | Irvine, California The Mission AllCare.ai is an AI-powered healthcare delivery platform that acts as the easy button for Assisted Living ...

AllCare.ai | Director of Care Coordination | On-site | Irvine, California The Mission AllCare.ai is an AI-powered healthcare delivery platform that acts as the easy button for Assisted Living ...

AllCare.ai Director of Care Coordination On-site Irvine, California The Mission AllCare.ai is an AI-powered healthcare delivery platform that acts as the easy button for Assisted Living operators. We ...

The Director of AI will lead AI and data engineering teams, drive AI business transformation strategy, and shape the vision and execution of AI initiatives across the organization. Responsibilities ...

Director of Care Coordination

Irvine, CA · On-site

$160 - $200/hr

AllCare.ai | Director of Care Coordination | On-site | Irvine, California The Mission AllCare.ai is an AI‑powered healthcare delivery platform that acts as the easy button for Assisted Living ...

General Information

Portland, OR · On-site

$200K - $260K/yr

Description and Requirements Go To Market Data & AI Director - Portland ****Please note: This role is not eligible for 100% remote work. Employees must live within a commutable distance of the ...

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Ai Director information

See salary details

$24K

$118.2K

$205.5K

How much do ai director jobs pay per year?

As of Aug 9, 2026, the average yearly pay for ai director in the United States is $118,160.00, according to ZipRecruiter salary data. Most workers in this role earn between $76,500.00 and $153,000.00 per year, depending on experience, location, and employer.

How much does an AI director make?

An AI director's salary typically ranges from $120,000 to $200,000 annually, depending on experience, industry, and location. Senior roles or those in large tech companies can earn higher compensation, often including bonuses and stock options. Strong leadership, technical expertise, and knowledge of AI tools are important for this role.

What does an AI Director do?

An AI Director oversees the development and implementation of artificial intelligence strategies within an organization or project. Their responsibilities include managing AI teams, setting project goals, ensuring ethical AI practices, and integrating AI technologies to meet business objectives. They often collaborate with data scientists, engineers, and other stakeholders to drive innovation and solve complex problems using AI solutions.

How to become an AI director?

To become an AI director, candidates typically need a strong background in computer science, machine learning, or data science, often holding a master's or doctoral degree. Relevant experience in AI development, leadership skills, and familiarity with AI tools and frameworks are essential, along with a proven track record of managing AI projects and teams.

What are the key skills and qualifications needed to thrive as an AI Director?

To thrive as an AI Director, you need deep expertise in artificial intelligence, machine learning, and data science, typically supported by an advanced degree in computer science or related fields. Familiarity with AI frameworks (like TensorFlow or PyTorch), cloud platforms, and experience managing large-scale AI projects are crucial, as are certifications in relevant technologies. Strong leadership, strategic thinking, and communication skills help drive cross-functional teams and align AI initiatives with business objectives. These abilities ensure the successful development, deployment, and adoption of AI solutions that deliver real business value.

How does an AI Director typically collaborate with cross-functional teams in an organization?

An AI Director works closely with various departments such as engineering, product management, data science, and executive leadership to align AI initiatives with business goals. Collaboration often involves leading strategy sessions, setting project priorities, and ensuring technical teams have the resources and guidance needed to deliver on objectives. Effective communication is key, as the AI Director must translate complex technical concepts into business value and coordinate efforts across multiple stakeholders. Regular meetings and progress reviews help maintain alignment and address challenges proactively.

What is the difference between Ai Director vs Data Scientist?

AspectAi DirectorData Scientist
Required CredentialsAdvanced degrees in AI, computer science, or related fields; leadership experienceBachelor's or master's in data science, statistics, or related fields; strong programming skills
Work EnvironmentOversees AI projects, manages teams, collaborates with executivesAnalyzes data, builds models, reports findings, often works independently or in small teams
Employer & Industry UsageTech companies, AI startups, large enterprises implementing AI strategiesTech firms, finance, healthcare, research institutions

While both roles involve working with data and AI, the Ai Director focuses on strategic oversight, leadership, and managing AI initiatives, whereas the Data Scientist concentrates on data analysis, model development, and technical implementation.

More about Ai Director jobs
What cities are hiring for Ai Director jobs? Cities with the most Ai Director job openings:
What are the most commonly searched types of Ai jobs? The most popular types of Ai jobs are:
What states have the most Ai Director jobs? States with the most job openings for Ai Director jobs include:
Infographic showing various Ai Director job openings in the United States as of August 2026, with employment types broken down into 75% Full Time, 21% Part Time, and 4% Contract. Highlights an 67% Physical, 3% Hybrid, and 30% Remote job distribution, with an average salary of $118,160 per year, or $56.8 per hour.

Full-time

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Job description

Job Summary:

The AI-Directed Software Engineer designs and delivers software across thefull Cloud Nine stack - backend, frontend, native clients, and the infrastructure that runs them- by directing AI systems to do the bulk of the implementation work. You'll move ideas from concept to demo to production at high speed, decomposing problems into AI-executable tasks, steering and refining AI output, and owning the quality, performance, and customer impact of the result.
This is afull-stack role with a DevOps component. You won't be specializing in one layer. You'll own features end-to-end - from the database schema, through the Java services, through the Angular or React UI, and out through the Kubernetes deployment that ships them.
Operating in an AI-first environment, you'll push the organization from AI-assistedtoward AI-delegatedsoftware delivery.

Job Description:

Our Stack

You don't need to know all of this on day one, but you'll work across it:

Backend:Java, Maven, Jersey (JAX-RS), Jackson, Log4j, Tomcat

Frontend (Angular):Angular + TypeScript , PrimeNG, PrimeFlex, Transloco, DayPilot

Frontend (React):React, Vite, TypeScript, TailwindCSS

Data:PostgreSQL (runtime + analytics instances), direct SQL

Messaging:Apache ActiveMQ

Native client:C# / .NET Framework (Windows ZeroClient), WiX / MSI installers

Infra & DevOps:Docker, Kubernetes, AWS (CloudFormation, EFS, S3), Helm/Kustomize, multi-tenant cloud architecture

Analytics & tooling:Python ETL pipelines, Swagger / OpenAPI

Multi-module monorepo: WebServices (backend) WebApps (Angular) ReactWebApps (Vite/React) NativeClients (C#) Packages (Docker/K8s).

What You'll Own

End-to-end delivery of features from concept demo production, acrossbackend, frontend, and deployment

Directing AI tools to generate code, APIs, UI, SQL, infra config, and workflows

Decomposing product requirements into AI-executable tasks

Validation, testing, and hardening of AI-generated output

Kubernetes/Docker configuration and deployment of the services you build

Throughput and cycle time across your assigned workstreams

Continuous improvement of AI-driven development patterns, prompts, and tooling

How AI Changes This Role

AI is your primary implementation engine. You're not expected to hand-write every line of code across every layer of this stack - you're expected to direct AI to produce it. You'll use AI to generate Java services, Angular components, React UIs, SQL, Dockerfiles, and K8s manifests alike.

Every AI-generated output is astarting point, not a finished product.You own correctness, edge cases, security, and production readiness. The breadth of this stack is exactly why AI-directed development matters here: no single engineer can be a deep expert in Java, Angular, React, C#, PostgreSQL,andKubernetes - but one engineer directing AI across all of them can.

What We're Looking For

Strong software engineering fundamentals (APIs, distributed systems, debugging, data flows)

Full-stack breadth- comfortable moving between backend services, UI, and deployment config in the same day

Working familiarity withcontainers and Kubernetes(or willingness to ramp fast); can debug a failing pod, read a manifest, and ship a Helm change

Demonstrated experience using AI coding tools (Claude Code, Cursor, Copilot, or similar) to ship real work

Sharp eye for reviewing AI output - especially subtle correctness, security, or deployment issues

Comfort in fast, ambiguous, rapidly changing environments

Bias toward shipping working software over perfect design

Systems thinking - understanding how components interact at scale

Willingness to challenge both humanandAI-generated assumptions

Strong written communication - prompting is writing

Nice to have:Experience with Java/Jersey, Angular or React, PostgreSQL, AWS, or retail/POS domain.

What Success Looks Like (First 90 Days)

Ship multiple features from concept to demo-ready in 5 days each, touching backend, frontend,anddeployment where required

Demonstrate effective use of AI to produce production-quality code across the stack

Establish repeatable, documented workflows for AI-directed development

Measurably improve delivery speed and consistency across your workstreams

Validate and harden AI-generated output before it reaches customers

Help move the team from AI-assisted AI-directed development

Bottom Line

This is a full-stack + DevOps role, and that's exactly why AI makes it possible. If you can take an idea, direct AI across Java, TypeScript, SQL, and Kubernetes, and deliver something that works in days - this is the job.

Worker Type:

Regular

Number of Openings Available:    

1