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Ai Practice Lead Jobs (NOW HIRING)

Data & AI Engineer

New York, NY · Remote

$125K - $150K/yr

Reports To: Data & AI Practice Lead * Location: Remote (US-Based / Eastern or Central Time Zone Preferred) * Employment Type: Full-Time W2 Ready to build greenfield Lakehouse solutions at the ...

Data & AI Engineer

New York, NY · On-site +1

$125K - $150K/yr

Reports To: Data & AI Practice Lead * Location: Remote (US-Based / Eastern or Central Time Zone Preferred) * Employment Type: Full-Time W2 Ready to build greenfield Lakehouse solutions at the ...

Data & AI Engineer

New York, NY · Remote

$117K - $140K/yr

Reports To: Data & AI Practice Lead * Location: Remote (US-Based / Eastern or Central Time Zone Preferred) * Employment Type: Full-Time W2 Ready to build greenfield Lakehouse solutions at the ...

$46.50 - $61.25/hr

... lead real-world AI implementations across client delivery, solution architecture, and pre-sales . We are actively investing in AI engineering capabilities and building a long-term AI practice ...

We are looking for a Security Practice Lead to own and drive information security across our ... Secure AI & ML integrations: Establish and enforce security guardrails for AI pipelines and LLM ...

Practice Lead, Wealth Management Location: New York, North Carolina, Chicago, Texas, Florida, US ... Identify emerging trends, regulatory changes, and technology shifts (e.g., AI-enabled advisory ...

AI/ML Technical Practice Leader Experience Level: 15+ years Employment type: Full Time Location ... Lead pre-sales technical discussions with customers and partners * Assist with the creation of ...

AI/ML Technical Practice Leader Experience Level: 15+ years Employment type: Full Time Location ... Lead pre-sales technical discussions with customers and partners * Assist with the creation of ...

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Ai Practice Lead information

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How much do ai practice lead jobs pay per hour?

As of Sep 13, 2026, the average hourly pay for ai practice lead in the United States is $22.20, according to ZipRecruiter salary data. Most workers in this role earn between $15.38 and $24.76 per hour, depending on experience, location, and employer.

What is an AI Practice Lead?

An AI Practice Lead is a senior professional responsible for guiding and managing an organization’s artificial intelligence (AI) initiatives. They oversee the development and implementation of AI strategies, lead technical teams, and ensure that AI projects align with business goals. AI Practice Leads also collaborate with stakeholders, provide thought leadership, and stay updated on emerging AI trends and technologies. Their role often includes mentoring team members and shaping the organization’s AI capabilities to drive innovation and competitive advantage.

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

To thrive as an AI Practice Lead, you need deep expertise in artificial intelligence, machine learning, and data science, often supported by an advanced degree in computer science or a related field. Familiarity with AI platforms (such as TensorFlow, PyTorch), cloud services (like AWS, Azure, or Google Cloud), and certifications in AI/ML are typically required. Strong leadership, communication, and strategic thinking skills help drive cross-functional teams and client engagement. These abilities ensure the successful delivery of AI solutions that align with business objectives and foster innovation.

How does an AI Practice Lead typically collaborate with cross-functional teams to drive AI initiatives within an organization?

An AI Practice Lead often works closely with data scientists, engineers, product managers, and business stakeholders to ensure successful AI project delivery. They are responsible for translating business goals into AI solutions, guiding technical teams, and aligning project objectives across departments. Regular meetings and collaborative workshops are common, fostering a shared understanding of priorities and challenges. This role requires strong communication skills to bridge technical expertise with strategic business needs, ensuring impactful AI adoption across the organization.

What is the difference between Ai Practice Lead vs Data Scientist?

AspectAi Practice LeadData Scientist
Required CredentialsAdvanced degrees in AI, Machine Learning, or related fields; leadership experienceDegree in Computer Science, Statistics, or related fields; strong programming skills
Work EnvironmentLeads AI projects, collaborates with cross-functional teams, strategic planningAnalyzes data, develops models, interprets results, often in research or product teams
Employer & Industry UsageUsed in tech companies, consulting firms, AI-focused organizationsCommon in tech, finance, healthcare, and research institutions

The Ai Practice Lead typically oversees AI initiatives, requiring leadership and strategic skills, while Data Scientists focus on analyzing data and building models. Both roles often require similar technical credentials but differ in scope and responsibilities.

What cities are hiring for Ai Practice Lead jobs?

Cities with the most Ai Practice Lead job openings:

What states have the most Ai Practice Lead jobs?

States with the most job openings for Ai Practice Lead jobs include:

What are popular job titles related to Ai Practice Lead jobs?

For Ai Practice Lead jobs, the most frequently searched job titles are:

Infographic showing various Ai Practice Lead job openings in the United States as of June 2026, with employment types broken down into 88% Full Time, 10% Part Time, and 2% Contract. Highlights an 70% Physical, 3% Hybrid, and 27% Remote job distribution, with an average salary of $46,178 per year, or $22.2 per hour.

Director, Legal AI & Practice Transformation

Philadelphia, PA • On-site

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

Director, Legal AI & Practice Transformation

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.

Job Info

  • Job Identification 350
  • Job Category Administrative Operations
  • Locations One Liberty Place, Philadelphia, PA, 19103, US (Hybrid)