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Director Embedded Ai Jobs (NOW HIRING)

Boelter

Director of Enterprise Applications

Pewaukee, WI · On-site

The role also owns how AI shows up in these processes, including agentic and embedded AI within SAP ... Direct the SAP program with internal and third-party delivery partners, including stabilization ...

Posted today

Saic

Senior Embedded Software Engineer

Panama City Beach, FL · On-site

$110K - $144K/yr

Provide direct support to the program manager on technical issues. QualificationsREQUIRED ... Familiarity with integrating and implementing embedded AI solutions. * Experience working in Agile ...

SAIC

Senior Embedded Software Engineer

Panama City Beach, FL · Hybrid

$110K - $144K/yr

Provide direct support to the program manager on technical issues. Qualifications REQUIRED ... Familiarity with integrating and implementing embedded AI solutions. * Experience working in Agile ...

Honeywell

Director Engineering - Embedded Software

Atlanta, GA · On-site

$126K - $166K/yr

As Director Engineering - Embedded Software at Honeywell Technologies, you will serve as the hands ... In this role, you will impact the success of AI-enabled technology solutions by delivering scalable ...

Honeywell

Director Engineering - Embedded Software

Atlanta, GA · Hybrid

$126K - $166K/yr

As Director Engineering - Embedded Software at Honeywell Technologies, you will serve as the hands ... In this role, you will impact the success of AI-enabled technology solutions by delivering scalable ...

LVT

Senior AI Specialist

American Fork, UT · On-site

Audit and rationalize the AI capabilities embedded across LVT's existing tech stack - driving ... without direct authority over every team involved. * Data-Environment Comfortable: You're ...

Honeywell

Director Engineering - Embedded Software

Atlanta, GA · Hybrid

$126K - $166K/yr

As Director Engineering - Embedded Software at Honeywell Technologies, you will serve as the hands ... In this role, you will impact the success of AI-enabled technology solutions by delivering scalable ...

Embedded Shishya

$130K - $195K/yr

... AI, data, and enterprise solutions across the United States.This is a fantastic opportunity to join ... S.)Position Type: Full-time, Direct W2Salary Range: $130,000-$195,000 AnnuallyExperience Required ...

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How much do director embedded ai jobs pay per year?

As of Sep 11, 2026, the average yearly pay for director embedded ai in the United States is $153,383.00, according to ZipRecruiter salary data. Most workers in this role earn between $131,500.00 and $173,000.00 per year, depending on experience, location, and employer.

What does a director of embedded AI do?

A Director of Embedded AI oversees the development and integration of artificial intelligence technologies into hardware devices and embedded systems. They lead teams of engineers and data scientists to create smart, efficient, and secure AI solutions for products such as IoT devices, automotive systems, medical devices, and more. This role involves setting strategic direction, managing projects, ensuring compliance with industry standards, and collaborating with other departments to bring AI-driven features to market. Directors of Embedded AI also stay up-to-date with advancements in AI and embedded systems to maintain a competitive edge.

What are the key skills and qualifications needed to thrive as a director of embedded AI?

To thrive as a Director of Embedded AI, you need deep expertise in embedded systems, AI/machine learning algorithms, and a relevant advanced degree such as a master's or PhD in computer science or engineering. Familiarity with tools like TensorFlow Lite, PyTorch, edge AI platforms, and experience managing cross-functional development teams are crucial, along with certifications in AI or embedded systems being advantageous. Leadership, strategic vision, and excellent communication skills are essential for guiding teams and aligning projects with organizational goals. These capabilities ensure the successful integration of AI solutions into embedded products, driving innovation and competitive advantage.

How does a director of embedded AI typically collaborate with cross-functional teams to drive project success?

A Director of Embedded AI regularly works alongside hardware engineers, software developers, product managers, and data scientists to ensure AI solutions are seamlessly integrated into embedded systems. Collaboration involves aligning AI capabilities with hardware constraints, overseeing the development pipeline, and facilitating communication between teams to address technical challenges. This role often leads strategic planning sessions, reviews project milestones, and ensures all stakeholders are informed about progress and requirements. Effective collaboration is crucial for delivering innovative products on time and within budget.

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Director Embedded Ai jobs near you

Director, Legal AI & Practice Transformation

Philadelphia, PA • On-site

Cozen O'Connor
Law Firms • 1 - 5K employees
Learn more about Cozen O'Connorexternal

Full-time

Re-posted 20 days ago

Job description


The Director, Legal AI & Practice Transformation leads the Firm's efforts to implement AI-driven legal processes and modernize how legal services are delivered.
This role is responsible for identifying, designing, and scaling practical AI and technology solutions that improve legal operations, enhance client service delivery, and drive measurable business impact. A core priority is moving the Firm beyond experimentation and pilots toward sustainable, operationally embedded AI capabilities across legal practice groups.
The Director partners closely with lawyers, business stakeholders, and technical teams to redesign processes, implement scalable solutions, and ensure successful adoption within the day-to-day practice of law.
Reporting to the Chief Strategy and Innovation Officer, the Director works collaboratively with Practice Group Leaders, Practice Development, Knowledge Management, Enterprise Applications, Risk, Information Security, Procurement, and Learning & Development to support the Firm's broader legal transformation strategy.
Responsibilities
Leadership
  • Work with the Chief Strategy and Innovation Officer to help develop and execute the Firm's legal AI and practice transformation strategy.
  • Lead, develop, and mentor a high-performing team focused on legal AI, workflow transformation, and practice innovation initiatives across the Firm.
  • Build effective working relationships across legal, business, and technology teams to drive alignment, execution, and operational adoption of AI-enabled solutions.
  • Foster a culture of innovation, experimentation, collaboration, and continuous improvement across the Firm's legal transformation efforts.
  • Represent the Firm in select external forums related to legal AI, emerging technologies, and practice transformation, and apply relevant market insights to the Firm's strategy and operations.

Practice Innovation
  • Collaborate with lawyers, client teams, and business stakeholders to identify operational pain points and high-value AI use cases across legal practices.
  • Redesign legal workflows and service delivery processes to improve efficiency, consistency, scalability, and client value.
  • Lead the implementation and operational scaling of AI-enabled solutions, ensuring initiatives move beyond pilots into sustainable day-to-day use within legal practice groups.
  • Develop repeatable operating models, governance approaches, and adoption strategies that enable successful integration of AI into legal work.
  • Establish metrics and operational KPIs to evaluate adoption, efficiency gains, and business impact, and continuously refine solutions based on results and user feedback.

AI Adoption & Workflow Enablement
  • Develop practical enablement approaches that help lawyers and client teams successfully adopt AI-supported processes within day-to-day legal practice.
  • Design and deliver user guidance, training materials, and adoption support resources that encourage effective and responsible use of AI tools within legal service delivery.
  • Gather user feedback and adoption insights to help refine enablement strategies, improve usability, and support continuous enhancement of AI-integrated processes.

Governance, Risk, and Compliance
  • Partner with Risk, Information Security, and relevant legal teams to ensure AI-enabled workflows align with Firm policies, client confidentiality requirements, and regulatory obligations.
  • Coordinate risk and security reviews for new tools and capabilities, ensuring solutions are operationally sustainable and appropriately governed.

Qualifications
The ideal candidate combines:
  • a strong understanding of how legal work is performed in practice;
  • systems and process thinking;
  • strong operational rigor and execution capability;
  • product or workflow ownership instincts;
  • practical fluency with AI-enabled workflows and technologies, including LLMs and automation tools; and
  • the ability to build credibility across legal, business, and technical stakeholders.

Apply