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Ai Team Lead Jobs (NOW HIRING)

Lead AI Engineer

Boston, MA · Hybrid

$111K - $146K/yr

You will be part of the AI team, working inside one of our division (Marketing or finance for example) to lead their AI transformation. You will combine deep AI engineering expertise with product and ...

Gen AI Lead - RAG (Retrieval-Augmented Generation) Specialist We are looking for a highly skilled Gen AI Lead specializing in Retrieval-Augmented Generation (RAG) to join our AI team in Pleasanton ...

Sr AI/Agentic Engineer

Dallas, TX · Hybrid

$103K - $142K/yr

You will work directly with the VP Organizational Intelligence, the AI team lead, and the Senior Staff Engineer, AI. You will lead the day-to-day delivery of agentic workflows, document intelligence ...

Sr AI/Agentic Engineer

Tustin, CA · On-site

$115K - $158K/yr

... the AI team lead and Senior Staff Engineer to translate AI strategy into shipped features. • Collaborate with product, credit, underwriting, and platform engineering to translate business ...

Sr AI/Agentic Engineer

Dallas, TX · On-site

$103K - $142K/yr

... the AI team lead and Senior Staff Engineer to translate AI strategy into shipped features. • Collaborate with product, credit, underwriting, and platform engineering to translate business ...

Sr AI/Agentic Engineer

Santa Clara, CA · On-site

$122K - $168K/yr

... the AI team lead and Senior Staff Engineer to translate AI strategy into shipped features. • Collaborate with product, credit, underwriting, and platform engineering to translate business ...

Sr AI/Agentic Engineer

Lumberton, NC · Hybrid

$93K - $127K/yr

You will work directly with the VP Organizational Intelligence, the AI team lead, and the Senior Staff Engineer, AI. You will lead the day-to-day delivery of agentic workflows, document intelligence ...

Sr AI/Agentic Engineer

Santa Clara, CA · Hybrid

$122K - $168K/yr

You will work directly with the VP Organizational Intelligence, the AI team lead, and the Senior Staff Engineer, AI. You will lead the day-to-day delivery of agentic workflows, document intelligence ...

Sr AI/Agentic Engineer

Los Angeles, CA · On-site

$112K - $154K/yr

You will work directly with the VP Organizational Intelligence, the AI team lead, and the Senior Staff Engineer, AI. You will lead the day-to-day delivery of agentic workflows, document intelligence ...

Lead Software Engineer - Bee AI

Austin, TX · On-site +1

$225K - $255K/yr

The Bee AI team is reimagining how people meet by introducing an intelligent, AI-powered product ... As a Lead Software Engineer, you'll play a pivotal role in shaping this next generation of ...

The Bee AI team is reimagining how people meet by introducing an intelligent, AI-powered product ... As a Lead Software Engineer, you'll play a pivotal role in shaping this next generation of ...

$91.50 - $125.81/hr

Team Lead AI Consulting (w/m/d)Zum Hauptinhalt springen*We use cookies to operate our career site and, with your consent, to enable additional features such as applying with LinkedIn and ...

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Description This role is a Team Lead position aimed at managing a team working with a blend of AI-focused project work, systems analysis, and consultation. This role requires the ability to leverage ...

Lead AI Engineer

Pittsburgh, PA · On-site

$99K - $131K/yr

The team is striving to make Ace an even more effective agent, focusing on planning, reliable ... Lead Agile ceremonies and technical planning for the Agentic AI team Strong Candidates have:

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Ai Team Lead information

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How much do ai team lead jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for ai team lead in the United States is $25.73, according to ZipRecruiter salary data. Most workers in this role earn between $15.38 and $24.04 per hour, depending on experience, location, and employer.

What does an AI Team Lead do?

An AI Team Lead is responsible for overseeing a team of artificial intelligence professionals, guiding the development and implementation of AI projects within an organization. They coordinate tasks, set project goals, mentor team members, and ensure that AI solutions align with business objectives. Additionally, AI Team Leads often collaborate with other departments, manage timelines, and help resolve technical challenges to deliver effective AI-driven results.

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

AspectAi Team LeadData Scientist
Required CredentialsExperience in AI projects, leadership skills, often a master's or PhD in AI, CS, or related fieldsStrong statistical, programming, and analytical skills, typically a master's or PhD in Data Science, Statistics, or related fields
Work EnvironmentLeads AI development teams, collaborates with engineers and product managers, focuses on AI project managementAnalyzes data, builds models, and derives insights, often working independently or in small teams
Employer & Industry UsageTech companies, AI startups, R&D departmentsTech firms, finance, healthcare, and research organizations

The main difference is that an Ai Team Lead manages AI projects and teams, focusing on leadership and project delivery, while a Data Scientist primarily analyzes data and builds models. Both roles require strong technical skills, but the Ai Team Lead emphasizes team management and strategic oversight.

What are the key skills and qualifications needed to thrive as an AI Team Lead, and why are they important?

To thrive as an AI Team Lead, you need a strong background in computer science, machine learning, and leadership, often supported by an advanced degree and experience managing technical teams. Familiarity with frameworks like TensorFlow or PyTorch, version control systems, and cloud platforms such as AWS or Azure is crucial, as are certifications in AI or project management. Exceptional communication, problem-solving, and mentorship skills help foster collaboration and drive team performance. These capabilities are vital to successfully guide complex AI projects, ensure technical excellence, and align team efforts with organizational goals.

What is the salary of an AI team lead?

The salary of an AI team lead typically ranges from $100,000 to $180,000 annually, depending on experience, location, and industry. Senior roles with specialized skills in machine learning, deep learning, and leadership may earn higher compensation, often supplemented with bonuses and stock options.

What are the main challenges faced by an AI Team Lead when managing multidisciplinary teams?

As an AI Team Lead, one of the main challenges is coordinating communication and collaboration among team members with diverse technical backgrounds, such as data scientists, software engineers, and domain experts. Balancing project timelines while ensuring high-quality, ethical AI solutions also requires strong project management skills. Additionally, staying current with rapid advancements in AI technology and integrating new tools or methodologies can be demanding but is essential for leading innovative teams effectively.
More about Ai Team Lead jobs
What cities are hiring for Ai Team Lead jobs? Cities with the most Ai Team Lead job openings:
What states have the most Ai Team Lead jobs? States with the most job openings for Ai Team Lead jobs include:
Infographic showing various Ai Team Lead job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 19% Part Time, and 4% Contract. Highlights an 92% Physical, 1% Hybrid, and 7% Remote job distribution, with an average salary of $53,524 per year, or $25.7 per hour.

Lead AI Engineer

Mirakl - Labs

Boston, MA • Hybrid

$111K - $146K/yr

Full-time

Re-posted 21 days ago


Job description

Mission

Lead the design, development, and adoption of AI systems within a strategic business domain. You will be part of the AI team, working inside one of our division (Marketing or finance for example) to lead their AI transformation.

You will combine deep AI engineering expertise with product and business understanding to identify high-impact opportunities, define roadmaps, and deliver measurable outcomes.

As the AI technical lead for your domain, you will drive architecture decisions, engineering excellence, and AI adoption across teams and stakeholders. Examples of domains include: Sales, GTM and Marketing or Finance & Legal

This is a permanent position (CDI) based in our Boston office, with 4 days on-site per week.

Why Now, Why Mirakl

Generative AI and AI Agents are fundamentally reshaping commerce software.

At Mirakl, AI is becoming a core part of our product strategy. From Catalog Transformer and content generation to AI Agents and Agentic Commerce, we are building the next generation of commerce software.

We are looking for a Senior AI Engineer to transform cutting-edge AI technologies into reliable, scalable, and measurable products used by leading enterprises worldwide.

You won't be joining a company that's thinking about AI. You'll be joining one that's already building it.What You'll Do1. Own AI Strategy for Your Domain
  • Define the AI vision and roadmap for your domain
  • Identify high-value opportunities with Product Managers and business leaders
2. Lead AI System Development
  • Design and build production-grade AI systems
  • Drive architecture decisions
  • Ensure scalability, reliability, and maintainability
3. Drive Adoption & Business Impact
  • Work closely with end users
  • Measure adoption and outcomes
  • Accelerate AI transformation across your domain
4. Establish Technical Excellence
  • Promote best practices for evaluation, testing, guardrails, and observability
  • Review designs and mentor engineers
  • Raise the quality bar across initiatives
5. Grow AI Capability
  • Mentor AI Engineers and Agent Builders
  • Share knowledge and reusable components
  • Build AI expertise within your organization
Success Metrics
  • Business impact delivered by AI initiatives
  • Adoption within the domain
  • Technical quality and reliability
  • Team capability growth
Profile
  • 7+ years in Software Engineering, ML Engineering, or Applied AI
  • Strong experience with LLMs, RAG, AI Agents, evaluation, and production systems
  • Ability to influence Product and Business decisions
  • Proven leadership on complex cross-functional initiatives

Tech Stack

  • Languages: Python and SQL
  • AI Stack: OpenAI, Anthropic, Gemini, Mistral and Open-source models
  • Agentic & Retrieval: LangGraph, LangChain, LlamaIndex, MCP and Vector Databases
  • Infrastructure: AWS or GCP, Docker and Kubernetes

Feel free to add a link to your GitHub in your CV so we can understand what you have worked on!

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