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Ai Services Jobs (NOW HIRING)

AHEAD

Senior AI Engineer, AI Services

$200K - $250K/yr

... AI usage. * Embed monitoring, lineage, PII handling, and policy constraints into agentic flows ... AWS services). * Experience with vector DBs and retrieval pipelines (Pinecone, pgvector ...

TaskUs

Director, Strategic Growth (AI Services)

What can you expect in a Director of Strategic Growth (AI Services) role with TaskUs: As a Director of Strategic Growth at TaskUs, your primary mission is to serve as the strategic architect of ...

Apolis

Lead Platform Engineer, API & AI Services

$104K - $138K/yr

They are seeking a Lead Platform Engineer to own and secure the production API gateway for their CoCounsel platform, while leading a team of engineers and collaborating on AI service integrations.

New

everis

AI Programmer

Washington, DC · On-site

C. This role involves building, deploying, and maintaining MCP servers and agent-based AI services, focusing on integrating these systems with enterprise platforms using Python. Responsibilities ...

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How much do ai services jobs pay per hour?

As of Jun 12, 2026, the average hourly pay for ai services in the United States is $35.91, according to ZipRecruiter salary data. Most workers in this role earn between $19.23 and $58.89 per hour, depending on experience, location, and employer.

What is a $900,000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as AI research director, senior machine learning engineer, or AI solutions architect, often requiring advanced skills, extensive experience, and sometimes specialized certifications. These roles usually involve leading projects, developing innovative algorithms, and managing teams in tech companies or research institutions. Compensation at this level reflects the complexity and impact of the work, as well as the demand for expertise in AI technologies.

What are AI services?

AI services refer to a range of tools, platforms, and solutions that use artificial intelligence technologies to automate tasks, analyze data, and support decision-making for businesses and individuals. These services can include natural language processing, computer vision, machine learning models, chatbots, and more, often delivered via cloud platforms. AI services help organizations enhance efficiency, personalize experiences, and gain insights from large datasets. Popular providers of AI services include companies like Google Cloud, Microsoft Azure, and Amazon Web Services.

What are the key skills and qualifications needed to thrive in an AI Services role, and why are they important?

To thrive in an AI Services role, you typically need a strong background in computer science, mathematics, or engineering, along with proven experience in machine learning and data analysis. Familiarity with programming languages such as Python, AI frameworks like TensorFlow or PyTorch, and cloud platforms (e.g., AWS, Google Cloud) is commonly required, and relevant certifications can be advantageous. Outstanding problem-solving abilities, communication, and the capacity to collaborate with multidisciplinary teams are highly valuable soft skills. These competencies enable professionals to design effective AI solutions, communicate insights clearly, and drive business value in a rapidly evolving field.

How do professionals in AI Services typically collaborate with cross-functional teams to deploy AI solutions?

In AI Services roles, collaboration with cross-functional teams—such as product managers, data engineers, and business stakeholders—is essential for successfully deploying AI solutions. Professionals are often involved in translating business requirements into technical specifications, iterating on model development with data teams, and coordinating with IT or DevOps to integrate models into production systems. This collaborative approach helps ensure that AI implementations are effective, scalable, and aligned with organizational goals. Regular meetings, clear communication, and agile workflows are common practices to facilitate this teamwork.

What is the difference between Ai Services vs Data Analysts?

AspectAi ServicesData Analysts
Required CredentialsTypically certifications in AI, machine learning, or data science; sometimes a degree in computer science or related fieldsOften a degree in statistics, mathematics, or data analysis; certifications in data tools are common
Work EnvironmentTech companies, AI development firms, or departments focusing on AI solutionsBusiness, finance, healthcare, and other industries analyzing data to inform decisions
Employer & Industry UsageUsed in AI product development, automation, and machine learning projectsUsed across industries for data interpretation, reporting, and strategic insights

While Ai Services focus on developing and implementing AI solutions, Data Analysts interpret data to support business decisions. Both roles require analytical skills, but Ai Services emphasize AI technologies and programming, whereas Data Analysts focus on data interpretation and reporting.

What jobs pay 2000 a day?

High-paying jobs that can earn $2,000 or more per day include specialized roles such as senior software engineers, data scientists, management consultants, and certain freelance or contract positions in fields like finance, law, or technology. These roles typically require advanced skills, extensive experience, and often involve project-based or consulting work with high hourly or daily rates.

What job makes $10,000 a month without a degree?

In AI services, roles such as AI consultant, machine learning engineer, or data scientist can potentially earn $10,000 or more per month with relevant skills and experience, often without requiring a traditional degree. Success in these roles depends on expertise in programming, data analysis, and AI tools, along with a strong portfolio or proven results.

What kind of jobs are in the AI industry?

Jobs in the AI industry include roles such as AI engineer, data scientist, machine learning engineer, NLP specialist, and AI researcher. These positions typically require skills in programming, data analysis, and knowledge of AI frameworks like TensorFlow or PyTorch, often involving collaboration in multidisciplinary teams. Certifications in AI or data science can enhance job prospects, and roles may involve developing algorithms, training models, and deploying AI solutions.
More about Ai Services jobs
What cities are hiring for Ai Services jobs? Cities with the most Ai Services job openings:
What states have the most Ai Services jobs? States with the most job openings for Ai Services jobs include:
What job categories do people searching Ai Services jobs look for? The top searched job categories for Ai Services jobs are:
Ai Services jobs near you
Infographic showing various Ai Services job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $74,696 per year, or $35.9 per hour.
Senior AI Engineer, AI Services

Senior AI Engineer, AI Services

AHEAD

Remote

$200K - $250K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 10 days ago

Job description

AHEAD builds platforms for digital business. By weaving together advances in cloud infrastructure, automation and analytics, and software delivery, we help enterprises deliver on the promise of digital transformation.
At AHEAD, we prioritize creating a culture of belonging, where all perspectives and voices are represented, valued, respected, and heard. We create spaces to empower everyone to speak up, make change, and drive the culture at AHEAD.
We are an equal opportunity employer, and do not discriminate based on an individual's race, national origin, color, gender, gender identity, gender expression, sexual orientation, religion, age, disability, marital status, or any other protected characteristic under applicable law, whether actual or perceived.
We embrace all candidates that will contribute to the diversification and enrichment of ideas and perspectives at AHEAD.
Key Responsibilities
  • Solution Development & Deployment
  • Build and deploy multi-agent systems using frameworks such as LangChain, LangGraph, Autogen, CrewAI, and LlamaIndex.
  • Develop custom agents for document processing, workflow automation, SDLC acceleration, data analysis, and business process orchestration.
  • Integrate LLMs, SLMs, embeddings, and retrieval pipelines (Pinecone, Elasticsearch, Snowflake Cortex, pgvector)
  • Create and operate LLM/ML endpoints, agent memory/state stores, and event-driven triggers.
  • Implement reusable components that become part of AHEAD's agent library and client solution accelerators

  • Enterprise Integration & Workflow Automation
  • Build real-time and batch workflows using Python, Kafka, EventBridge, Airflow, Snowflake, S3, n8n, AWS Batch, and similar tools.
  • Connect agents to enterprise systems (SharePoint, Salesforce, ServiceNow, Jira, Oracle, databases, APIs).
  • Implement RAG, tool-calling, function calling, and structured output pipelines for production-ready agentic tasks.
  • Ensure robust data transformations, validation, and versioning for downstream agent workflows.

  • Quality, Observability & Reliability
  • Implement monitoring, metrics, and guardrails for multi-agent systems (timeouts, retries, constraints, circuit breakers).
  • Build automated testing for agent behaviors, prompts, ETL/batch jobs, and model outputs.
  • Participate in incident reviews, debugging multi-agent flows, and ensuring predictable performance.

  • Client Collaboration & Delivery Excellence
  • Work closely with client stakeholders to understand use cases, pain points, and success criteria.
  • Translate business needs into technical agent designs and execution roadmaps.
  • Participate in agile ceremonies, demos, and working sessions with client teams.
  • Contribute to proposals, SOWs, architecture diagrams, and client documentation when needed.

  • Security, Governance & Compliance
  • Apply enterprise standards for data security, access control, auditing, model governance, and safe AI usage.
  • Embed monitoring, lineage, PII handling, and policy constraints into agentic flows.

  • Mentorship & Internal Development
  • Coach junior engineers on agent design patterns, RAG, orchestration, and clean engineering practices.
  • Contribute to internal best practices, reference architectures, and reusable components.
  • Support onboarding of new engineers and help scale AHEAD's agentic engineering community.

Qualifications
  • Required
  • Strong Python engineering background, including async patterns, APIs, and event-driven design.
  • Hands-on experience with multi-agent frameworks (LangGraph, Autogen, CrewAI, LangChain, etc.).
  • Demonstrated ability to build production ETL, orchestration, or workflow automation pipelines (Kafka, EventBridge, Airflow, Celery, n8n, AWS services).
  • Experience with vector DBs and retrieval pipelines (Pinecone, pgvector, Elasticsearch, LlamaIndex).
  • Familiarity with MLOps, observability, CI/CD, containerization, and model deployment patterns.
  • Strong documentation habits and comfort working in fast-paced agile environments.
  • Experience integrating with enterprise systems or APIs in production.

  • Preferred
  • Experience with Snowflake Cortex, Databricks Mosaic, NVIDIA NIMs, or similar AI platform components.
  • Experience operating agentic systems at scale, including safety constraints and system-level debugging.
  • Experience in consulting, client-facing engineering, or co-development models.

  • Success Metrics & Environment
  • Delivery of reliable, scalable agentic solutions that measurably improve client outcomes.
  • High client satisfaction, repeat demand, and strong cross-functional collaboration.
  • Consistent contribution to reusable accelerators and internal knowledge base.
  • Predictable delivery cadence with strong engineering quality and observability.
  • Visible growth of AHEAD's reputation for agentic AI expertise.

$200,000 - $250,000 a year
The compensation range indicated in this posting reflects the On-Target Earnings ("OTE") for this role, which includes a base salary and any applicable target bonus amount. This OTE range may vary based on the candidate's relevant experience, qualifications, and geographic location.
Why AHEAD:
Through our daily work and internal groups like Moving Women AHEAD and RISE AHEAD, we value and benefit from diversity of people, ideas, experience, and everything in between.
We fuel growth by stacking our office with top-notch technologies in a multi-million-dollar lab, by encouraging cross department training and development, sponsoring certifications and credentials for continued learning.
USA Employment Benefits include:
- Medical, Dental, and Vision Insurance
- 401(k)
- Paid company holidays
- Paid time off
- Paid parental and caregiver leave
- Plus more! See benefits https://www.aheadbenefits.com/ for additional details.
Use of AI:
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, assessing responses, or to capture recordings and create transcriptions or summaries during interviews. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans.
If you would like more information about how your data is processed, please refer to the Candidate Privacy Notice or contact us at [email protected].
You may opt-out of the review or analysis of your application and resume by AI tools by using the General Application. Please include the role you wish to apply for in the Additional Information field. You may also choose to opt-out of recording and transcription at any time, including after joining an interview. Candidates will not be penalized for choosing to opt-out.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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