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Artificial Intelligence Operator Jobs (NOW HIRING)

... Artificial Intelligence , turning our AI strategy into production capabilities, adopted workflows ... AI operating model across clinical, regulatory, scientific, and business functions. The incumbent ...

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Artificial Intelligence Operator information

What is an artificial intelligence operator?

An Artificial Intelligence Operator is a professional responsible for managing, monitoring, and maintaining AI systems and applications. They ensure that AI models perform as expected, troubleshoot issues, and optimize the deployment of AI solutions in various environments. Their role often involves working with data scientists, software engineers, and IT specialists to oversee the lifecycle of AI technologies, including updates, scaling, and compliance. Artificial Intelligence Operators play a crucial role in bridging the gap between AI development and practical, reliable operation in real-world settings.

What are the key skills and qualifications needed to thrive as an artificial intelligence operator?

To thrive as an Artificial Intelligence Operator, you need a solid understanding of computer science fundamentals, data analysis, and AI concepts, typically supported by a relevant degree or technical training. Familiarity with AI platforms, machine learning frameworks (such as TensorFlow or PyTorch), and data management systems is essential, along with certifications in AI or cloud technologies being advantageous. Strong problem-solving abilities, attention to detail, and effective communication skills help operators adapt to rapidly changing technologies and collaborate with diverse teams. These skills ensure effective deployment, monitoring, and optimization of AI systems, enabling organizations to leverage AI solutions reliably and ethically.

What are some common challenges faced by artificial intelligence operators when maintaining AI systems in a production environment?

Artificial Intelligence Operators often encounter challenges such as monitoring model performance, detecting data drift, and responding to unexpected system behaviors in real time. They must balance ensuring system uptime with the need to troubleshoot and optimize models as data and business needs evolve. Collaboration with data scientists, engineers, and IT staff is essential to quickly resolve incidents and implement updates or patches. Staying current with best practices in model deployment and ethical AI use also presents an ongoing learning curve.

What is the difference between Artificial Intelligence Operator vs Data Analyst?

AspectArtificial Intelligence OperatorData Analyst
Required CredentialsRelevant certifications in AI, machine learning, or data science; often a degree in computer science or related fieldDegree in statistics, mathematics, or related field; certifications in data analysis tools
Work EnvironmentTech companies, AI development labs, or data-driven organizations; working with AI models and algorithmsBusiness environments, research firms, or consulting; analyzing datasets and generating reports
Employer & Industry UsagePrimarily in AI and tech industries, focusing on AI system operation and maintenanceAcross various industries including finance, marketing, healthcare, focusing on data interpretation

While both roles involve working with data, Artificial Intelligence Operators focus on managing and maintaining AI systems, whereas Data Analysts interpret data to inform business decisions. The roles often overlap in skills but differ in their primary focus and tools used.

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What are popular job titles related to Artificial Intelligence Operator jobs?

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Artificial Intelligence & Cloud Engineer

Norfolk, VA โ€ข On-site

$98K - $206K/yr

Full-time

Medical, Retirement, PTO

Re-posted 18 hours ago


Job description

Job Title: Artificial Intelligence & Cloud Engineer
Job Category: Engineering
Time Type: Full time
Minimum Clearance Required to Start: Secret
Employee Type: Regular
Percentage of Travel Required: Up to 10%
Type of Travel: Local
* * *
The Opportunity:
We are seeking an AI and Cloud Engineer to design, build, and scale our next-generation intelligent systems. In this role, you will bridge the gap between advanced artificial intelligence and robust cloud infrastructure. You will be part of a team responsible for architecting complex multi-agent flows, implementing enterprise-grade retrieval systems, and ensuring the secure deployment of AI workloads in cloud in systems that will grow to serve approximately 40,000 users. The ideal candidate is a self-motivated technical leader who thrives in agile environments and adapts quickly to emerging AI technologies.
Responsibilities:
  • Architect and implement scalable multi-agent systems using advanced routing and hierarchical design patterns.
  • Build, optimize, and maintain production-grade Retrieval-Augmented Generation pipelines and semantic search systems.
  • Design and manage data preprocessing workflows, chunking strategies, and vector database infrastructure.
  • Deploy, secure, and monitor AI applications and microservices within cloud environments.
  • Collaborate closely with data scientists, UI/UX designers, and subject matter experts to integrate AI features into user-facing products.
  • Establish and enforce security best practices for large language model implementations and data privacy.

Qualifications Required
Experience and Education
  • Bachelor's degree in Computer Science, Software Engineering, or a related technical field.
  • 7+ years of professional software engineering experience, with at least 2 years dedicated to production AI, ML, or NLP development.

Technical Skills
  • Proven experience building multi-agent systems using frameworks like LangGraph, AutoGen, or equivalent tools.
  • Deep understanding of RAG architecture, vector databases, embedding techniques, and information retrieval systems.
  • Strong programming proficiency in a programing language similar to Python, and experience building robust RESTful APIs.
  • Hands-on experience deploying and managing cloud services within AWS or OCI.
  • Proficiency working with Linux operating systems and command-line interfaces.
  • Expertise in text analytics, prompt engineering, data normalization, and cleaning techniques.

Security and Compliance
  • Active Secret Security Clearance.
  • Current CompTIA SEC+ Certificate, or higher.
  • Experience proven knowledge of security best practices for AI systems, including model guardrails and secure data handling.

Professional Attributes
  • Experience working in an Agile development environment across cross-functional teams.
  • Strong problem-solving abilities and a track record of rapidly learning and adopting emerging AI disciplines.

Preferred Qualifications
  • Experience with NAVSEA Cyber RMF Processes and System Security Hardening.
  • Familiarity with secondary languages such as Rust, Go, or JavaScript for system optimization.
  • Relevant industry recognized Cloud certifications, such as AWS Certified Machine Learning - Specialty or OCI AI credentials.
  • Experience with open-source LLM evaluation and observability frameworks.

What You Can Expect:
A culture of integrity.
At CACI, we place character and innovation at the center of everything we do. As a valued team member, you'll be part of a high-performing group dedicated to our customer's missions and driven by a higher purpose - to ensure the safety of our nation.
An environment of trust.
CACI values the unique contributions that every employee brings to our company and our customers - every day. You'll have the autonomy to take the time you need through a unique flexible time off benefit and have access to robust learning resources to make your ambitions a reality.
A focus on continuous growth.
Together, we will advance our nation's most critical missions, build on our lengthy track record of business success, and find opportunities to break new ground - in your career and in our legacy.
Pay Range:
There are a host of factors that can influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, education, and certifications. Our employees value the flexibility at CACI that allows them to balance quality work and their personal lives. We offer competitive compensation, benefits and learning and development opportunities. Our broad and competitive mix of benefits options is designed to support and protect employees and their families. At CACI, you will receive comprehensive benefits such as; healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits.
The proposed salary range for this position is:
$98,500-$206,800
CACI is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, age, national origin, disability, status as a protected veteran, or any other protected characteristic.