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Ai Orchestration Jobs (NOW HIRING)

Soni Resources

Senior AI/ML Engineer

New York, NY · On-site

$145K - $210K/yr

Stay current on advancements in AI, ML, LLMs, cloud engineering, and orchestration technologies Required Qualifications * 5+ years of experience building and deploying AI and ML solutions * Strong ...

Photon

AI Dev (Features + CHQ)_Tempe,AZ

Anthem, AZ · On-site

Build and integrate AI-powered services, APIs, and workflow orchestration components. * Develop RESTful APIs and microservices for frontend, mobile, and enterprise integrations. * Integrate ...

Photon

AI Dev (Features + CHQ)_Tempe,AZ

Anthem, AZ · On-site

Build and integrate AI-powered services, APIs, and workflow orchestration components. * Develop RESTful APIs and microservices for frontend, mobile, and enterprise integrations. * Integrate ...

Photon

AI Devs (Platform + BE)_Tempe,AZ

Anthem, AZ · On-site

Build and integrate AI-powered services, APIs, and workflow orchestration components. * Develop RESTful APIs and microservices for frontend, mobile, and enterprise integrations. * Integrate ...

Photon

AI Devs (Platform + BE)_Tempe,AZ

Anthem, AZ · On-site

Build and integrate AI-powered services, APIs, and workflow orchestration components. * Develop RESTful APIs and microservices for frontend, mobile, and enterprise integrations. * Integrate ...

MHK TECH INC

AI Scientist

Dallas, TX · On-site

Agentic AI & Orchestration: * Design and build multi-agent systems for data workflows agents that retrieve, generate, validate, and iterate autonomously * Implement agent orchestration using ...

VTG

Staff II/ Staff III AI/ML Engineer

Chantilly, VA · On-site

AI orchestration frameworks * Predictive analytics and traditional ML models Lead the end-to-end AI lifecycle, including: * Data ingestion and preparation * Model development and fine-tuning * AI ...

VTG

Staff II/ Staff III AI/ML Engineer

Manassas, VA · On-site

AI orchestration frameworks * Predictive analytics and traditional ML models Lead the end-to-end AI lifecycle, including: * Data ingestion and preparation * Model development and fine-tuning * AI ...

VTG

Staff II/ Staff III AI/ML Engineer

Chantilly, VA · On-site

AI orchestration frameworks * Predictive analytics and traditional ML models Lead the end-to-end AI lifecycle, including: * Data ingestion and preparation * Model development and fine-tuning * AI ...

Martin (YC S23)

Founding AI Engineer

San Francisco, CA · On-site

They are seeking a founding AI engineer to design and improve their AI orchestration layer, enabling the AI to execute increasingly complex tasks. Responsibilities : • Design and improve our AI ...

USALCO LTD

AI Platform Engineer

Baltimore, MD · Remote

A core function of this role is establishing and evolving the organization's AI Service Layer and supporting platform architecture including AI orchestration services, reusable APIs, customer ...

Usalco

AI Platform Engineer

... orchestration services, retrieval-augmented generation (RAG) pipelines, prompt management, vector search capabilities, model integration frameworks, and reusable backend AI services. • Design and ...

Velocity Search Group

Enterprise AI Architect

Manhattan, NY · On-site

$76 - $98/hr

... orchestration, prompt engineering, embeddings, vector search, and enterprise AI integration patterns. • Collaborate with infrastructure, cybersecurity, application development, and data teams to ...

ERP SAVVY LLC

AI Architect

Jersey City, NJ · On-site

$65.75 - $86.75/hr

Act as a strategic advisor to product and leadership teams on the application of LLMs, agentic AI, and AI orchestration frameworks (e.g., LangChain, AutoGen, Agentic). * Architect and guide the ...

Saxon Global

Automation Architect

Washington, DC · On-site

This position requires hands-on experience with advanced AI orchestration frameworks, multi-agent systems, autonomous workflows, tool-calling architectures, and leading automation platforms. The ...

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All JobsAi Orchestration Jobs

Ai Orchestration information

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$16K

$148.2K

$191K

How much do ai orchestration jobs pay per year?

As of Sep 12, 2026, the average yearly pay for ai orchestration in the United States is $148,233.00, according to ZipRecruiter salary data. Most workers in this role earn between $145,500.00 and $167,500.00 per year, depending on experience, location, and employer.

What does an AI orchestration do?

An AI orchestration professional manages and coordinates the deployment, integration, and operation of multiple AI systems and workflows within an organization. They ensure that AI components work together efficiently, often using tools like automation platforms and monitoring systems, to optimize AI performance and business outcomes.

What is the future of AI orchestration?

The future of AI orchestration involves increased automation of complex workflows, integration of diverse AI tools, and the use of advanced platforms to manage AI models efficiently. AI orchestration roles will require skills in cloud computing, scripting, and understanding of AI deployment environments to optimize AI system performance and scalability.

What other helpful pages are available for Ai Orchestration?

Other pages related to Ai Orchestration:

Infographic showing various Ai Orchestration job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 77% Full Time, 19% Part Time, and 3% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution, with an average salary of $148,233 per year, or $71.3 per hour.

Senior AI/ML Engineer

New York, NY • On-site

Soni Resources
Recruiting and Staffing Services • 11 - 50 employees
Learn more about Soni Resourcesexternal

$145K - $210K/yr

Full-time

Re-posted 11 days ago

Job description

Soni's client is seeking an Artificial Intelligence / Machine Learning Engineer to design, build, deploy, and support enterprise-scale AI and ML solutions across cloud and hybrid environments. This is a highly hands-on role focused on delivering scalable, secure, and high-performing AI solutions aligned with business and technology objectives.
The ideal candidate will have experience developing production-grade AI applications, LLM-powered solutions, and agentic workflows while collaborating with cross-functional technical and business teams.
Key Responsibilities
  • Design, develop, and maintain production-grade AI and ML solutions across cloud and hybrid platforms
  • Build end-to-end AI application pipelines including data ingestion, prompt engineering, model evaluation, deployment, and monitoring
  • Develop and support LLM-powered applications and agentic workflows
  • Collaborate with engineering, data, and business stakeholders to translate requirements into AI and ML solutions
  • Write scalable, maintainable, and high-quality Python code for AI and ML applications
  • Optimize performance, scalability, reliability, and cost efficiency of AI and ML services
  • Integrate AI and ML applications with enterprise APIs, data lakes, data warehouses, retrieval systems (RAG), and streaming platforms
  • Support AI solution lifecycle management including versioning, prompt iteration, evaluation, and production support
  • Apply security, governance, compliance, and data privacy best practices across AI and ML systems
  • Participate in technical architecture and solution design discussions
  • Stay current on advancements in AI, ML, LLMs, cloud engineering, and orchestration technologies

Required Qualifications
  • 5+ years of experience building and deploying AI and ML solutions
  • Strong hands-on experience developing AI and ML applications within cloud environments
  • Advanced Python programming skills focused on AI/ML engineering and LLM application development
  • Experience building and supporting LLM-powered applications, agentic workflows, and AI orchestration pipelines
  • Experience integrating LLM applications with enterprise data sources and retrieval systems (RAG)
  • Hands-on experience with AI orchestration and observability frameworks such as LangChain, LangSmith, Pydantic AI, or similar technologies
  • Strong understanding of cloud security, AI governance, data privacy, and enterprise AI compliance practices
  • Experience developing scalable, production-grade cloud-native applications

Preferred Qualifications
  • Experience supporting enterprise AI initiatives within professional services or regulated environments
  • Familiarity with vector databases, embedding models, semantic search, and AI evaluation frameworks
  • Experience with containerization and deployment technologies such as Docker and Kubernetes
  • Exposure to MLOps and AI observability best practices
  • Experience integrating AI systems into enterprise business workflows and knowledge management platforms

Compensation: $145,000 to $210,000 annually
Compensation is based on a range of factors that include relevant experience, knowledge, skills, other job-related qualifications.
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About Soni Resources

Sourced by ZipRecruiter

Soni is a premier staffing & recruitment company that is disrupting the human capital management space. Headquartered in New York, Soni has presence in 23 markets across the United States. We support each professional relationship with a cutting-edge approach, industry-leading insights, and a human touch. We are trusted to help companies and individuals tackle their challenges and capture their greatest opportunities. We are minority-owned, and diversity & inclusion is in our DNA. We are committed to creating environments where people are empowered to be their authentic selves.

Industry

Recruiting and staffing services

Company size

11 - 50 Employees

Headquarters location

New York, NY, US

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