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Generative Ai Specialist Jobs (NOW HIRING)

Generative AI Specialist / AI & ML Developer Location: Remote Required: U.S. citizenship and the ability to obtain and maintain a U.S. Government security clearance (Secret → TS/SCI) is required.

The Gen AI Specialist will leverage advanced Generative AI models and Azure OpenAI services to develop innovative solutions for our investment banking processes. The ideal candidate will have a ...

AI Specialist

Pontiac, MI · On-site

$60 - $65/hr

AI Specialist Location: Pontiac, MI 48341 Duration: 3-Month Contract Position Overview Seeking an ... Generative AI: Copilot, LLMs, RAG, Enterprise AI Platforms * Big Data: Apache Spark, Databricks

Generative AI Strategist

Sunnyvale, CA · On-site

$142K - $184K/yr

... specialists to foster collaboration and innovation. * Build strong partnerships with regional ... Proven experience in strategizing and implementing generative AI solutions in a business context.

Our Client, a Global Services and Media company, is looking for a Generative AI Training Specialist to work a hybrid schedule out of their NYC office. Responsibilities: * Design and facilitate live ...

Generative AI Strategist

New York, NY

$132K - $171K/yr

... specialists to foster collaboration and innovation. * Build strong partnerships with regional ... Proven experience in strategizing and implementing generative AI solutions in a business context.

Generative AI Strategist

San Francisco, CA · On-site

$143K - $185K/yr

... specialists to foster collaboration and innovation. * Build strong partnerships with regional ... Proven experience in strategizing and implementing generative AI solutions in a business context.

OH · On-site

$117K - $151K/yr

... specialists to foster collaboration and innovation. * Build strong partnerships with regional ... Proven experience in strategizing and implementing generative AI solutions in a business context.

Generative AI Strategist

New York, NY · On-site

$132K - $171K/yr

... specialists to foster collaboration and innovation. * Build strong partnerships with regional ... Proven experience in strategizing and implementing generative AI solutions in a business context.

Generative AI Strategist

Los Angeles, CA · On-site

$130K - $169K/yr

... specialists to foster collaboration and innovation. * Build strong partnerships with regional ... Proven experience in strategizing and implementing generative AI solutions in a business context.

Generative AI Strategist

Dallas, TX · On-site

$120K - $155K/yr

... specialists to foster collaboration and innovation. * Build strong partnerships with regional ... Proven experience in strategizing and implementing generative AI solutions in a business context.

Generative AI Strategist

Charleston, WV · On-site

$112K - $145K/yr

... specialists to foster collaboration and innovation. * Build strong partnerships with regional ... Proven experience in strategizing and implementing generative AI solutions in a business context.

Generative AI Strategist

Plano, TX · On-site

$116K - $150K/yr

... specialists to foster collaboration and innovation. * Build strong partnerships with regional ... Proven experience in strategizing and implementing generative AI solutions in a business context.

Generative AI Strategist

Charlotte, NC · On-site

$108K - $139K/yr

... specialists to foster collaboration and innovation. * Build strong partnerships with regional ... Proven experience in strategizing and implementing generative AI solutions in a business context.

Generative AI Strategist

Montevallo, AL

$119K - $154K/yr

... specialists to foster collaboration and innovation. * Build strong partnerships with regional ... Proven experience in strategizing and implementing generative AI solutions in a business context.

Generative AI Strategist

Mclean, VA · On-site

$122K - $158K/yr

... specialists to foster collaboration and innovation. * Build strong partnerships with regional ... Proven experience in strategizing and implementing generative AI solutions in a business context.

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Generative Ai Specialist information

What are some of the main challenges a generative AI specialist faces when integrating AI models into existing business workflows?

A primary challenge for Generative AI Specialists is ensuring that the AI models they develop can be seamlessly integrated into legacy systems and existing business processes. This often involves collaborating closely with cross-functional teams such as IT, data engineering, and product management to address issues like data compatibility, scalability, and maintaining model performance in real-world scenarios. Additionally, specialists must navigate concerns about data privacy, model bias, and interpretability to ensure solutions align with organizational policies and regulatory requirements. Staying up-to-date with rapid advancements in the field and continuously improving models based on user feedback are also ongoing aspects of the role.

What are the key skills and qualifications needed to thrive as a generative AI specialist?

To thrive as a Generative AI Specialist, you need a strong background in machine learning, deep learning, and programming (often with Python), typically supported by a degree in computer science, data science, or a related field. Familiarity with frameworks such as TensorFlow, PyTorch, and experience with generative models like GANs, VAEs, or LLMs—as well as relevant certifications—are highly valuable. Creative problem-solving, strong communication, and adaptability are critical soft skills for translating complex concepts and collaborating across teams. These skills are vital for developing cutting-edge AI solutions that meet business goals and drive innovation in rapidly evolving environments.

How much does a generative AI specialist make?

The average salary for a generative AI specialist ranges from $80,000 to $150,000 annually, depending on experience, location, and industry. Professionals with advanced skills in machine learning, deep learning, and proficiency with tools like TensorFlow or PyTorch tend to earn higher salaries.

How do I become a generative AI specialist?

To become a generative AI specialist, you should develop strong skills in machine learning, deep learning, and programming languages like Python. Gaining experience with neural networks, natural language processing, and tools such as TensorFlow or PyTorch is essential, along with relevant certifications or advanced degrees in computer science or AI fields.

What is a generative AI specialist?

A Generative AI Specialist is a professional who designs, develops, and implements AI models that can create new content, such as text, images, music, or code. They work with advanced machine learning techniques, including neural networks and deep learning, to train systems like GPT or DALL-E. Their expertise is often used in industries such as entertainment, marketing, healthcare, and research to automate content creation, improve efficiency, and solve complex problems. Generative AI Specialists also ensure ethical use and address challenges related to bias and data privacy.

What is the difference between Generative Ai Specialist vs Data Scientist?

AspectGenerative Ai SpecialistData Scientist
Required CredentialsDegree in Computer Science, AI, or related fields; knowledge of machine learning and deep learningDegree in Data Science, Statistics, or related fields; strong analytical skills
Work EnvironmentFocus on developing generative models, working with AI frameworks, and creating AI-driven contentData analysis, modeling, visualization, and interpreting large datasets
Employer & Industry UsageTech companies, AI startups, research institutions focusing on AI content generationFinance, healthcare, marketing, and tech firms analyzing data for insights

While both roles require a strong background in data and machine learning, a Generative Ai Specialist primarily focuses on creating and optimizing generative models like GPT or GANs, whereas a Data Scientist analyzes data to derive insights and support decision-making. The roles often overlap but differ in their core objectives and daily tasks.

More about Generative Ai Specialist jobs
What cities are hiring for Generative Ai Specialist jobs? Cities with the most Generative Ai Specialist job openings:
What states have the most Generative Ai Specialist jobs? States with the most job openings for Generative Ai Specialist jobs include:
Infographic showing various Generative Ai Specialist job openings in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Generative AI Specialist / AI & ML Developer

Peraton

Remote

$135K - $216K/yr

Full-time

Re-posted 28 days ago


Peraton rating

8.3

Company rating: 8.3 out of 10

Based on 56 frontline employees who took The Breakroom Quiz

50th of 223 rated it services


Job description

Responsibilities
Peraton is hiring: Generative AI Specialist / AI & ML Developer
Location: Remote
Required: U.S. citizenship and the ability to obtain and maintain a U.S. Government security clearance (Secret → TS/SCI) is required.
Additional Requirement: Current, valid U.S. passport (potential OCONUS travel)
About the Role
Peraton is seeking an experienced Generative AI Specialist to support high-impact Internal Research and Development (IRAD) initiatives focused on AI/ML-driven platforms for Operations in the Information Environment (OIE).
  • This role is central to delivering advanced generative AI capabilities supporting COCOM information operations across CENTCOM, NORTHCOM, INDOPACOM, AFRICOM, and EUCOM.
  • You will drive innovation in LLMs, agentic AI workflows, and generative AI application development-directly influencing Peraton's competitive position in the defense AI landscape.

In this role, you will:
  • Design and optimize generative AI solutions using GPT-4/5, Claude, Gemini, and Azure OpenAI, including prompt engineering, fine-tuning, and retrieval augmented generation (RAG).
  • Implement agentic LLM architectures with structured outputs (JSON/GeoJSON), chain-of-thought/chain-of-debate methods, and multi-agent orchestration.
  • Build and maintain prompt libraries, evaluation frameworks, and QA pipelines for defense-grade AI content.
  • Integrate generative AI into existing platforms via documented APIs, ensuring interoperability with DoD systems (Maven, C2IE, IRIS).
  • Research emerging generative AI techniques (multimodal models, synthetic data generation, AI-assisted analysis for information operations).
  • Translate COCOM operational requirements into deployable AI solutions; support TTX events and platform demonstrations.
  • Implement Responsible AI practices including bias detection, validation, hallucination mitigation, and HITL workflows.
  • Support MVP-aligned milestone delivery, contributing to TRL progression and ROI measurement.
  • Document novel prompting techniques, model configurations, and workflows that may constitute IP or trade secrets.

Qualifications
Minimum Qualifications
  • Bachelor's degree in a related technical field + 5 years relevant experience
    - (An additional 4 years of experience may substitute for the degree)
    • 3+ years in software development or data science, including 2+ years focused on generative AI, LLMs, or NLP
    • Hands-on experience with foundation models (GPT-4, Claude, Gemini, Llama, Mistral) including prompt engineering, few-shot learning, fine-tuning, and API integration
    • Strong Python skills; experience with LangChain, LlamaIndex, Hugging Face, OpenAI/Anthropic APIs
    • Experience building RAG systems using vector databases (Pinecone, Weaviate, ChromaDB, pgvector)
    • Cloud experience (AWS, Azure) and deploying AI/ML models in production
    • Understanding of AI safety, hallucination mitigation, bias reduction, and prompt-injection protection
    • Experience with Git, CI/CD, and DevSecOps practices
    U.S. citizenship required
    Ability to obtain Secret and final TS/SCI clearances
    Current, valid U.S. passport for potential OCONUS travel

Preferred Qualifications
  • Master's degree
    • Experience with agentic AI architectures, multi-agent workflows, and LLM tool-use
    • Hands-on experience with fine-tuning, RLHF, DPO, LoRA/QLoRA
    • Familiarity with multimodal models and defense/intelligence applications
    • Experience with IRIS, OMEGA, or similar operational platforms
    • Background supporting IO, PSYOP, influence analysis, or COCOM operations
    • Knowledge of MLOps, A/B testing, and LLM evaluation frameworks (RAGAS, DeepEval)
    • Experience with synthetic data generation, simulation, or Monte Carlo methods
    • Understanding of geospatial data formats (GeoJSON, KML) and visualization tools (Plotly, D3.js)
    • Strong communication skills for technical-to-nontechnical translation and customer demos
    • Relevant cloud/AI certifications (AWS, Azure, Google, DeepLearning.AI)

Key Technologies & Platforms
GPT-5, Claude, Gemini, Azure OpenAI Service, LangChain, LlamaIndex, Hugging Face Transformers, Python, Pinecone, ChromaDB, Weaviate, pgvector, AWS, Azure, Docker, Kubernetes, REST APIs, JSON/GeoJSON, Plotly, D3.js, IRIS, Maven, C2IE, OMEGA, FedRAMP IL2-4.
Peraton Overview
Peraton is a next-generation national security company that drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy. As the world's leading mission capability integrator and transformative enterprise IT provider, we deliver trusted, highly differentiated solutions and technologies to protect our nation and allies. Peraton operates at the critical nexus between traditional and nontraditional threats across all domains: land, sea, space, air, and cyberspace. The company serves as a valued partner to essential government agencies and supports every branch of the U.S. armed forces. Each day, our employees do the can't be done by solving the most daunting challenges facing our customers. Visit peraton.com to learn how we're keeping people around the world safe and secure.
Target Salary Range
$135,000 - $216,000. This represents the typical salary range for this position. Salary is determined by various factors, including but not limited to, the scope and responsibilities of the position, the individual's experience, education, knowledge, skills, and competencies, as well as geographic location and business and contract considerations. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay.
EEO
EEO: Equal opportunity employer, including disability and protected veterans, or other characteristics protected by law.

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About Peraton

Sourced by ZipRecruiter

At Peraton, we re at the forefront of delivering the next big thing every day. We re the partner of choice to help solve some of the world s most daunting challenges, delivering bold, new solutions to keep people around the world safer and more secure.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Herndon, VA, US

Year founded

2017