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Enterprise Ai Jobs (NOW HIRING)

Velocity Search Group

Enterprise AI Architect

Manhattan, NY · On-site

$76 - $98/hr

Velocity Search Group is seeking an Enterprise AI Architect for a leading asset management firm located in New York City. The role involves designing, developing, and leading enterprise AI and ...

Navitus Health Solutions, LLC

Engineer, Enterprise AI

$105K - $150K/yr

The Engineer, Enterprise AI is responsible for designing, building, and operationalizing enterprise AI capabilities that enable the scalable adoption of Artificial Intelligence and Agentic AI across ...

Schneider

Enterprise AI Architect

Green Bay, WI

$67 - $86.50/hr

Enterprise AI Architect Work model:Hybrid Location:Green Bay, WI, USA Shift:First shift Job level:Individual Contributor Schedule:Full time; Mon-Fri 1st Shift Apply now Get job alerts Job overview:

Mercor

Enterprise AI Lead

New York, NY · On-site

$150K - $300K/yr

Mercor's APEX benchmark family measures AI's real-world impact on professional work. Mercor Enterprise brings this same infrastructure to Fortune 500 companies: helping companies capture how their ...

Mercor

Enterprise AI Lead

San Francisco, CA · On-site

$150K - $300K/yr

Mercor's APEX benchmark family measures AI's real-world impact on professional work. Mercor Enterprise brings this same infrastructure to Fortune 500 companies: helping companies capture how their ...

LMI

Enterprise AI Lead

Tysons, VA · On-site

We are looking for an Enterprise AI Lead to design, build, and scale AI capabilities across the organization. This is a hands-on leadership role focused on developing real systems--not just strategy ...

LMI

Enterprise AI Lead

Tysons, VA · On-site

Overview We are looking for an Enterprise AI Lead to design, build, and scale AI capabilities across the organization. This is a hands-on leadership role focused on developing real systems-not just ...

Jorie AI

Enterprise AI Enablement Lead

Oak Brook, IL · Remote

Lead enterprise-wide AI adoption initiatives across business and technical departments. * Evaluate business processes to identify opportunities for AI-assisted productivity improvements. * Develop ...

LMI

Enterprise AI Lead

Tysons, VA

Overview We are looking for an Enterprise AI Lead to design, build, and scale AI capabilities across the organization. This is a hands-on leadership role focused on developing real systems-not just ...

Jorie AI

Enterprise AI Enablement Lead

Oak Brook, IL · On-site

Position Summary Jorie Healthcare Partners is seeking an Enterprise AI Enablement Lead to drive the responsible adoption of Artificial Intelligence technologies across the organization. This ...

Jorie AI

Enterprise AI Enablement Lead

Oak Brook, IL · On-site

$160K - $170K/yr

Position Summary Jorie Healthcare Partners is seeking an Enterprise AI Enablement Lead to drive the responsible adoption of Artificial Intelligence technologies across the organization. This ...

C10 Labs

Enterprise AI Venture Fellow

Cambridge, MA · On-site

$100 - $150/hr

Enterprise AI Venture Fellow Department: Studio Employment Type: Part Time Location: Cambridge Compensation: $100.00 - $150.00 / hour Description About C10 Labs C10 Labs is an AI-focused venture ...

T Rowe Price

Enterprise AI Architect

Baltimore, MD

$68.50 - $88.50/hr

As Enterprise AI Architect, you will be at the forefront of firm-wide AI activation, as part of the Enterprise Architecture team and working directly with the Chief Architect, to define, govern, and ...

C10 Labs

$100 - $150/hr

Position Overview C10 Labs is seeking an Enterprise AI Venture Associate to join our team in a part-time capacity. This role is designed for entrepreneurial and technically strong individuals ...

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Enterprise Ai information

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$115.3K

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How much do enterprise ai jobs pay per year?

As of Jul 27, 2026, the average yearly pay for enterprise ai in the United States is $115,331.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,500.00 and $135,500.00 per year, depending on experience, location, and employer.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior AI executive, lead data scientist, or AI architect, often requiring advanced skills in machine learning, deep learning, and data analysis. These roles usually involve strategic decision-making, managing large teams, and working with cutting-edge AI tools and frameworks, and they tend to be among the highest-paying jobs in the tech industry.

What is the salary of AI engineer in enterprise?

The salary of an enterprise AI engineer typically ranges from $100,000 to $150,000 annually, depending on experience, location, and company size. Senior roles or those with specialized skills in machine learning, deep learning, or cloud platforms can earn higher compensation. Certifications and proficiency with tools like TensorFlow or PyTorch can also influence salary levels.

Which 3 jobs will survive AI?

In the context of Enterprise AI, roles such as AI specialists, data scientists, and machine learning engineers are likely to persist because they involve designing, developing, and maintaining AI systems. These jobs require advanced technical skills, domain expertise, and ongoing innovation that AI tools alone cannot fully replace. Continuous learning and certification in AI and data analysis are essential for these roles to remain relevant.

What is an Enterprise AI job?

An Enterprise AI job involves developing, deploying, and managing artificial intelligence solutions at a large-scale organizational level. Professionals in this role work on AI strategy, machine learning models, data management, and automation to optimize business operations. They collaborate with cross-functional teams to integrate AI-driven insights into workflows, improving efficiency and decision-making. Common roles include AI engineers, data scientists, and AI architects focused on enterprise-scale solutions.

What are the typical daily responsibilities of someone working in Enterprise AI?

A professional in Enterprise AI typically spends their days designing and developing AI models, analyzing large datasets to identify trends, and collaborating with business stakeholders to identify areas where AI can add value. They may also be involved in integrating AI solutions into existing enterprise systems, monitoring performance, and troubleshooting issues as they arise. Teamwork is common, working closely with data engineers, software developers, product managers, and executive leadership to ensure alignment with broader business objectives. Additionally, they often stay up to date with emerging AI technologies and best practices to drive ongoing innovation and improvements.

What does Enterprise AI do?

Enterprise AI professionals develop and implement artificial intelligence solutions to improve business processes, automate tasks, and analyze large data sets within organizations. They often work with machine learning models, data engineering, and AI tools to optimize operations and support decision-making. Strong programming skills and understanding of AI frameworks are essential for this role.

What are the key skills and qualifications needed to thrive in the Enterprise Ai position, and why are they important?

To thrive in Enterprise AI roles, you need expertise in artificial intelligence, machine learning, data analytics, and enterprise IT systems, often demonstrated by a relevant degree or significant experience. Familiarity with platforms such as TensorFlow, PyTorch, AWS, Azure, and certifications like AWS Certified Machine Learning or Microsoft Azure AI Engineer are highly beneficial. Strong communication, project management, and problem-solving abilities enable effective cross-functional collaboration and innovation. These skills are crucial for deploying AI solutions that drive business value, streamline operations, and ensure technology aligns with organizational goals.

More about Enterprise Ai jobs
What cities are hiring for Enterprise Ai jobs? Cities with the most Enterprise Ai job openings:
What states have the most Enterprise Ai jobs? States with the most job openings for Enterprise Ai jobs include:
What job categories do people searching Enterprise Ai jobs look for? The top searched job categories for Enterprise Ai jobs are:
Enterprise Ai jobs near you
Infographic showing various Enterprise Ai job openings in the United States as of July 2026, with employment types broken down into 73% Full Time, 24% Part Time, and 3% Contract. Highlights an 65% Physical, 3% Hybrid, and 32% Remote job distribution, with an average salary of $115,331 per year, or $55.4 per hour.
Enterprise AI Architect

Enterprise AI Architect

Velocity Search Group

Manhattan, NY • On-site

$76 - $98/hr

Full-time

Posted 17 days ago

Job description

Job Summary:
Velocity Search Group is seeking an Enterprise AI Architect for a leading asset management firm located in New York City. The role involves designing, developing, and leading enterprise AI and intelligent automation solutions, collaborating with various teams to enhance business capabilities and operational efficiency.
Responsibilities:
• Design and architect enterprise AI and intelligent automation solutions leveraging Azure AI Services, Azure AI Foundry, OpenAI, Microsoft Fabric, and cloud-native technologies.
• Lead the implementation of Generative AI, LLMs, Retrieval-Augmented Generation (RAG), AI agents, copilots, and workflow automation solutions.
• Design and implement MCP (Model Context Protocol) servers, reusable AI integration frameworks, and secure connectivity patterns that connect enterprise AI platforms with internal systems, APIs, and data sources.
• Collaborate directly with business users to co-create and refine custom Skills, GPTs, and AI agents, translating business requirements into effective AI solutions and empowering users with self-service capabilities.
• Establish and lead enterprise AI architecture and governance frameworks, including responsible AI standards, model and prompt governance, security controls, compliance, monitoring, lifecycle management, and AI risk management practices.
• Develop proof-of-concepts, prototypes, and reference architectures for AI-powered business solutions.
• Provide architectural leadership and technical guidance for AI orchestration, prompt engineering, embeddings, vector search, and enterprise AI integration patterns.
• Collaborate with infrastructure, cybersecurity, application development, and data teams to support enterprise AI platform readiness and operational support.
• Evaluate emerging AI technologies, MCP standards, governance models, and enterprise platforms to support the organization's AI strategy and roadmap.
• Leverage AI-assisted development tools such as GitHub Copilot, Claude, GPT, or similar technologies to improve engineering efficiency and solution quality.
Qualifications:
Required:
• Experience in enterprise solution architecture, software engineering, cloud architecture, or AI/ML engineering roles.
• Hands-on experience designing and implementing AI, machine learning, or Generative AI solutions in enterprise environments.
• Strong expertise with Azure cloud and AI technologies including Azure OpenAI, Azure AI Foundry, Azure AI Services, Azure Functions, AKS, Azure Storage, and API Management.
• Hands-on experience with Azure AI Foundry including prompt flows, AI agents, evaluations, and AI lifecycle management.
• Experience designing and implementing Retrieval-Augmented Generation (RAG), vector search, embeddings, prompt engineering, and AI agent orchestration solutions.
• Experience designing and developing MCP (Model Context Protocol) servers, AI integration services, or similar middleware frameworks for enterprise AI platforms.
• Experience integrating LLM platforms with enterprise APIs, databases, document repositories, and business applications.
• Experience implementing enterprise AI governance, responsible AI frameworks, security controls, and compliance practices.
• Understanding of enterprise security architecture, data privacy, access controls, and regulatory considerations for AI platforms in financial services environments.
• Hands-on experience with Python, REST APIs, SDK integrations, automation frameworks, and CI/CD practices.
• Bachelor's degree in Computer Science, Information Systems, Artificial Intelligence, Engineering, or a related field.
Preferred:
• Financial services or asset management industry experience is preferred.
• Strong understanding of Generative AI, LLM orchestration, prompt engineering, AI agents, MCP integration patterns, and enterprise AI workflows.
• Knowledge of Azure AI Foundry capabilities including prompt flows, AI agents, model evaluations, safety controls, and AI governance.
• Strong understanding of API integrations, cloud-native architecture, distributed systems, and enterprise application integration patterns.
• Knowledge of enterprise AI governance, responsible AI practices, AI security, privacy, model governance, and AI risk management.
• Understanding of vector databases, semantic search, embeddings, and enterprise AI retrieval patterns.
• Familiarity with AI orchestration frameworks and libraries such as LangChain, Semantic Kernel, AutoGen, CrewAI, or similar technologies.
• Familiarity with vector databases and enterprise search platforms such as Pinecone, Azure AI Search, Weaviate, ChromaDB, or similar technologies.
• Relevant cloud, AI, governance, or architecture certifications such as Azure Solutions Architect Expert, Azure AI Engineer Associate, TOGAF, or equivalent certifications are preferred.
• Strong analytical, communication, presentation, documentation, and problem-solving skills.
• Ability to communicate complex AI concepts to both technical and non-technical stakeholders.
• Comfort leveraging AI-assisted development tools such as GitHub Copilot, Claude Code, ChatGPT, or similar platforms to improve development productivity and solution delivery.
Company:
Velocity Search Group is an executive search and placement firm that provides hiring solutions to clients and job seekers. Founded in 1991, the company is headquartered in New York, USA, with a team of 11-50 employees. The company is currently Early Stage.

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