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Ai Practice Lead Jobs (NOW HIRING)

SID Global Solutions

AI Lead Developer

Exton, PA · On-site

$57 - $74.50/hr

AI Lead Developer - Agentic AI & GenAI Solutions Location: Exton, PA Onsite Employment Type ... into a Global AI Practice Head , leading AI strategy, delivery, innovation, and capability ...

Skaled Consulting

AI Strategy Lead

$120K - $200K/yr

About the Role The AI Strategy Lead is the chief architect of use cases and AI solution logic within the practice. This person's purpose is to identify, scope, and design intelligent assistants and ...

SID Global Solutions

AI Lead Developer

Exton, PA · On-site

$57 - $74.50/hr

AI Lead Developer - Agentic AI & GenAI Solutions Location: Exton, PA Onsite Employment Type ... into a Global AI Practice Head, leading AI strategy, delivery, innovation, and capability ...

Qvest US

Practice Lead, Data & Analytics

New York, NY · On-site

... and applied AI, our exceptionally talented teams partner with Fortune 1,000 companies to ... The Practice Lead will work closely across Practices, Business Units, and Sales & Marketing to ...

Qvest US

Practice Lead, Data & Analytics

New York, NY · On-site

... and applied AI, our exceptionally talented teams partner with Fortune 1,000 companies to ... The Practice Lead will work closely across Practices, Business Units, and Sales & Marketing to ...

Hatch

Practice Lead - IROC

Houston, TX · On-site +1

... Intelligence, AI Assissted Process Control, Industrial Automation, IT/OT Integration and ... Lead and deliver IROC related engagements predominantly in the USA. * Co-develop the broader IROC ...

Hatch

Practice Lead - IROC

Houston, TX · On-site +1

... Intelligence, AI Assissted Process Control, Industrial Automation, IT/OT Integration and ... Lead and deliver IROC related engagements predominantly in the USA. * Co-develop the broader IROC ...

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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.

AI Lead Developer

Exton, PA • On-site

SID Global Solutions
IT Services • 51 - 200 employees
Learn more about SID Global Solutionsexternal

$57 - $74.50/hr

Full-time

Re-posted 11 days ago

Job description


AI Lead Developer - Agentic AI & GenAI Solutions
Location: Exton, PA Onsite
Employment Type: Full-Time
We are seeking a hands-on AI Lead Developer to architect, build, and deploy enterprise-scale Agentic AI, Generative AI, and Multi-Agent Solutions. This role requires strong expertise in AI architecture, LLM-powered applications, cloud-native deployments, and scalable AI platforms.
The ideal candidate will lead the development of intelligent AI systems while mentoring engineering teams and driving AI innovation across the organization.
Career Growth Opportunity
This role is designed to evolve into a leadership position with the opportunity to grow into a Global AI Practice Head, leading AI strategy, delivery, innovation, and capability development across global teams.
Key Responsibilities
  • Design and develop enterprise-grade Agentic AI and Generative AIsolutions.
  • Build multi-agent systems using LangGraph, AutoGen, ADK, MCP, andrelated frameworks.
  • Develop RAG-based applications leveraging vector databases andenterprise knowledge sources.
  • Build scalable APIs and AI microservices using Python, FastAPI, andcloud-native architectures.
  • Deploy AI solutions on AWS, Azure, or GCP using Docker, Kubernetes,and CI/CD pipelines.
  • Implement AI security, governance, observability, and guardrails.
  • Collaborate with business, product, and engineering teams todeliver AI-driven solutions.
  • Conduct code reviews, mentor engineers, and contribute to AIarchitecture and roadmap planning.

Required Skills
  • 10+ years of software engineering experience with 4+ years inAI/GenAI solutions.
  • Strong Python development experience with FastAPI or Flask.
  • Hands-on experience with:
    • LangChain
    • LangGraph
    • AutoGen
    • ADK
    • MCP (Model Context Protocol)
    • Multi-Agent Architectures
  • Experience building RAG pipelines, embeddings, prompt engineering,and vector search solutions.
  • Experience with vector databases such as Pinecone, Weaviate, FAISS,Chroma, or Azure AI Search.
  • Strong knowledge of REST APIs, microservices, distributed systems,and cloud platforms (AWS/Azure/GCP).
  • Experience with Docker, Kubernetes, Redis, Kafka, and AIapplication deployment.
  • Strong understanding of AI security, memory management,scalability, and production AI systems.

Preferred Skills
  • Experience with OpenAI, Azure OpenAI, Claude, Gemini, and HuggingFace models.
  • Knowledge of MLOps, AI evaluation frameworks, and AI governance.
  • Experience with Spark, Kafka, and large-scale AI platforms.
  • Prior experience leading AI initiatives and mentoring engineeringteams.

What We're Looking For
A senior AI engineering leader who can move beyond chatbot development and build production-grade, enterprise-scale Agentic AI platforms, while helping shape the future AI strategy and practice of the organization.

Apply