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Autonomous Ai Jobs (NOW HIRING)

Salesforce AI Integration Architect ID68517

$70.75 - $87.50/hr

They are seeking a Salesforce AI Integration Architect to design and build enterprise integrations that enable autonomous AI workflows at scale, requiring deep expertise in Salesforce customization ...

Salesforce AI Integration Architect ID68517

$70.75 - $87.50/hr

They are seeking a Salesforce AI Integration Architect to design and build enterprise integrations that enable autonomous AI workflows at scale, requiring deep expertise in Salesforce customization ...

Salesforce AI Integration Architect ID68517

$70.75 - $87.50/hr

They are seeking a Salesforce AI Integration Architect to design and build enterprise integrations that enable autonomous AI workflows at scale, requiring deep expertise in Salesforce customization ...

Salesforce AI Integration Architect ID68517

$70.75 - $87.50/hr

They are seeking a Salesforce AI Integration Architect to design and build enterprise integrations that enable autonomous AI workflows at scale, requiring deep expertise in Salesforce customization ...

Salesforce AI Integration Architect ID68517

$70.75 - $87.50/hr

They are seeking a Salesforce AI Integration Architect to design and build enterprise integrations that enable autonomous AI workflows at scale, requiring deep expertise in Salesforce customization ...

Salesforce AI Integration Architect ID68517

$70.75 - $87.50/hr

They are seeking a Salesforce AI Integration Architect to design and build enterprise integrations that enable autonomous AI workflows at scale, requiring deep expertise in Salesforce customization ...

Salesforce AI Integration Architect ID68517

$70.75 - $87.50/hr

They are seeking a Salesforce AI Integration Architect to design and build enterprise integrations that enable autonomous AI workflows at scale, requiring deep expertise in Salesforce customization ...

Salesforce AI Integration Architect ID68517

$70.75 - $87.50/hr

They are seeking a Salesforce AI Integration Architect to design and build enterprise integrations that enable autonomous AI workflows at scale, requiring deep expertise in Salesforce customization ...

Salesforce AI Integration Architect ID68517

$70.75 - $87.50/hr

They are seeking a Salesforce AI Integration Architect to design and build enterprise integrations that enable autonomous AI workflows at scale, requiring deep expertise in Salesforce customization ...

Salesforce AI Integration Architect ID68517

$70.75 - $87.50/hr

They are seeking a Salesforce AI Integration Architect to design and build enterprise integrations that enable autonomous AI workflows at scale, requiring deep expertise in Salesforce customization ...

Salesforce AI Integration Architect ID68517

$70.75 - $87.50/hr

They are seeking a Salesforce AI Integration Architect to design and build enterprise integrations that enable autonomous AI workflows at scale, requiring deep expertise in Salesforce customization ...

Salesforce AI Integration Architect ID68517

$70.75 - $87.50/hr

They are seeking a Salesforce AI Integration Architect to design and build enterprise integrations that enable autonomous AI workflows at scale, requiring deep expertise in Salesforce customization ...

Salesforce AI Integration Architect ID68517

$70.75 - $87.50/hr

They are seeking a Salesforce AI Integration Architect to design and build enterprise integrations that enable autonomous AI workflows at scale, requiring deep expertise in Salesforce customization ...

Salesforce AI Integration Architect ID68517

$70.75 - $87.50/hr

They are seeking a Salesforce AI Integration Architect to design and build enterprise integrations that enable autonomous AI workflows at scale, requiring deep expertise in Salesforce customization ...

Salesforce AI Integration Architect ID68517

$70.75 - $87.50/hr

They are seeking a Salesforce AI Integration Architect to design and build enterprise integrations that enable autonomous AI workflows at scale, requiring deep expertise in Salesforce customization ...

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Autonomous Ai information

See salary details

$26.5K

$119.8K

$197K

How much do autonomous ai jobs pay per year?

As of Jun 10, 2026, the average yearly pay for autonomous ai in the United States is $119,841.00, according to ZipRecruiter salary data. Most workers in this role earn between $77,000.00 and $155,500.00 per year, depending on experience, location, and employer.

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

To thrive as an Autonomous AI Engineer, a strong background in computer science, machine learning, and robotics, typically supported by a relevant degree, is essential. Familiarity with programming languages like Python and C++, frameworks such as TensorFlow or PyTorch, and experience with automation systems or simulation environments are typically required. Creative problem-solving, adaptability, and strong communication skills help individuals excel in collaborative and rapidly-evolving technical teams. These skills ensure the development of reliable, safe, and innovative autonomous AI solutions that meet complex real-world challenges.

What are some of the typical challenges faced when working in an Autonomous AI role, and how can job seekers prepare for them?

Professionals in Autonomous AI roles often encounter challenges related to the complexity of integrating AI systems with real-world environments. This can include ensuring safety, reliability, and scalability of algorithms when deployed in dynamic settings such as robotics or autonomous vehicles. Job seekers should be prepared to collaborate closely with cross-functional teams, including engineers, data scientists, and domain experts, and stay updated on the latest advancements in AI ethics, regulation, and technology. Proactively engaging in hands-on projects and continuous learning will help address these challenges and foster successful contributions to the field.

What is Autonomous AI?

Autonomous AI refers to artificial intelligence systems capable of making decisions and taking actions without human intervention. These systems use machine learning, perception, and reasoning to independently complete tasks in dynamic environments. Examples include self-driving cars, industrial robots, and virtual assistants that learn and adapt over time. The goal of autonomous AI is to reduce the need for manual control, increase efficiency, and improve safety in various applications.

What is the difference between Autonomous Ai vs Data Scientist?

AspectAutonomous AiData Scientist
Required CredentialsTypically a degree in computer science, AI, or related fields; certifications in AI and machine learningDegree in statistics, computer science, or related fields; certifications in data analysis and machine learning
Work EnvironmentDeveloping and deploying AI systems, often in tech companies or research labsAnalyzing data, building models, and providing insights, mainly in corporate or research settings
Employer & Industry UsageTech firms, AI startups, research institutionsFinance, healthcare, marketing, and tech industries

While Autonomous Ai focuses on creating and managing autonomous AI systems, Data Scientists analyze data to inform decision-making. Both roles require strong technical skills and knowledge of machine learning, but their daily tasks and objectives differ significantly.

Infographic showing various Autonomous Ai job openings in the United States as of June 2026, with employment types broken down into 66% Full Time, 7% Part Time, and 27% Contract. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution, with an average salary of $119,841 per year, or $57.6 per hour.
Salesforce AI Integration Architect ID68517

Salesforce AI Integration Architect ID68517

AgileEngine

Remote

$70.75 - $87.50/hr

Full-time

Posted 7 days ago


Job description

Job Summary:
AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. They are seeking a Salesforce AI Integration Architect to design and build enterprise integrations that enable autonomous AI workflows at scale, requiring deep expertise in Salesforce customization and scalable distributed system design.
Responsibilities:
• Architect end-to-end integrations between internal AI platforms, enterprise data systems, and Salesforce Agentforce environments;
• Design scalable, secure, and resilient distributed system architectures supporting autonomous AI workflows;
• Design and optimize modular agentic AI systems, avoiding monolithic reasoning architectures through specialized micro-agent delegation;
• Build orchestration patterns for multi-step AI workflows, autonomous routing systems, and semantic tool execution;
• Apply best practices around Prompt Engineering , Context Management , Token Conservation , and LLM Orchestration ;
• Develop and enhance integrations using Salesforce Flows , Invocable Apex Methods , APIs, connectors, and custom prompt templates;
• Enable complex backend processes to be exposed as intelligent agentic tools within Salesforce ecosystems;
• Collaborate with cross-functional teams to maintain unified API contracts and semantic consistency across enterprise systems;
• Author comprehensive Architectural Decision Records (ADRs) documenting technical trade-offs, constraints, and High-Level Requirements (HLRs);
• Evaluate and select optimal integration patterns including Traditional APIs, Model Context Protocol (MCP) , and Agent-to-Agent (A2A) communication models;
• Balance performance, latency, scalability, reasoning overhead, and data sensitivity considerations in architectural decisions;
• Establish authentication boundaries, trust layers, and governance guardrails for AI-enabled enterprise systems;
• Ensure compliance with enterprise security standards, data governance policies, and secure data exposure practices;
• Partner with security and platform teams to maintain reliable and trustworthy autonomous agent execution.
Qualifications:
Required:
• 6+ years of experience designing enterprise integrations and distributed system architectures
• Hands-on experience integrating systems with Salesforce
• Deep expertise with Apex Methods, Advanced Salesforce Flows, Custom Prompt Templates, Salesforce APIs, and connectors
• Strong experience with REST APIs
• Solid understanding of AI/LLM concepts including Prompt Engineering, Context Management, Token Optimization, Multi-step AI Workflows, Agent Orchestration, and Semantic Routing Systems
• Experience designing scalable and secure distributed systems
• Strong understanding of authentication, security, trust boundaries, and data governance
• Experience documenting architecture decisions, trade-offs, and technical strategy
• Excellent collaboration and communication skills across engineering, platform, data, and security organizations
• Upper-intermediate English level
Preferred:
• Experience with gRPC
• Experience with Event-Driven Architectures
• Experience with enterprise synchronization patterns
• Experience with Model Context Protocol (MCP)
• Experience with Agent-to-Agent (A2A) integrations
• Experience with MuleSoft or enterprise middleware platforms
• Familiarity with Salesforce Agentforce
• Experience building or managing autonomous AI agents or micro-agent ecosystems
• Experience with semantic tool discovery or AI-native integrations
• Knowledge of Salesforce Bulk APIs and Salesforce Connect
• Experience operating within large-scale enterprise AI environments
Company:
The provider of solutions and services for the full cycle of software product development. Founded in 2010, the company is headquartered in Mclean, USA, with a team of 1001-5000 employees. The company is currently Late Stage.