Top 9 Geospatial analyst deployable Jobs

Generative AI Specialist / AI & ML Developer
Peraton —United States
- $135,000 - $216,000 a year
- Remote
- Azure
- 5 years
- Master's degree
- Health savings account
- Paid holidays
Forward Deployed Analyst
Booz Allen Hamilton —Fort Sam Houston, TX
- $61,900 - $141,000 a year
- Full-time
- Research
- Office
- 8 years
- Health insurance
- Flexible spending account
Senior Research Scientist
Northeastern University —Burlington, MA
- $113,865 - $165,105 a year
- Full-time
- Azure
- Computer Science
- 5 years
- Health insurance
- Dental insurance
Sr Research Scientist
Northeastern University —Burlington, MA
- $113,865 - $165,105 a year
- Full-time
- Azure
- Computer Science
- 5 years
- Health insurance
- Dental insurance
Publicly Available Information Targeting SME
Cherokee Federal —Virginia Beach, VA
- Full-time
- 5 years
- Research
- Analysis skills
- Health insurance
- Dental insurance
SME - PAI/OSINT Targeting
Crimson Phoenix —Fort Belvoir, VA
- Full-time
- Research
- 3 years
- Analysis skills
- Dental insurance
Quick Apply
3d
Machine Learning Engineer (Applied ML/MIssion Systems) - R133
Expedition Technology —Herndon, VA
- Full-time
- 5 years
- AWS
- Continuous improvement
- Health insurance
- Dental insurance

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Generative AI Specialist / AI & ML Developer

Peraton -
United States

Apply Now

Job Details

$135,000 - $216,000 a year

Benefits

Health savings account
Paid holidays
Disability insurance
Health insurance
Dental insurance
401(k)
Paid time off
Parental leave
Employee assistance program
Vision insurance
Life insurance

Qualifications

AI models
DevSecOps Practices
Customer communication
Azure
Generative models
Git
AI platforms (beyond public GPTs)
Prompt engineering
Databases
Machine learning cloud services
AWS
Model deployment
Continuous integration
Developing large-scale AI models
DevOps automation
MLOps
Generative AI

Full Job Description

About Peraton

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 solve the most daunting challenges that our customers face. Visit peraton.com to learn how we’re keeping people around the world safe and secure.

Program Overview

Leading provider of Information Operations (IO) and Irregular Warfare (IW) capabilities to the U.S. government. Integrates Information Related Capabilities (IRC) across multiple domains, environments, and geographic boundaries, supporting both domestic and overseas operation via Information Operations planners, intelligence analysts, cultural advisors, and linguists

About The Role

Peraton is hiring: Generative AI Specialist / AI & ML Developer

Location: Remote

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.

Responsibilities:

You will:

Design and optimize generative AI solutions using GPT 4, Claude, Gemini, and Azure OpenAI, including prompt engineering, fine-tuning, and retrieval augmented generation (RAG).
Implement agentic LLM architectures with structured output (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 well-documented APIs, ensuring interoperability with DoD systems including Maven, C2IE, and IRIS.
Research emerging generative AI techniques including multimodal models, synthetic data generation, and 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.

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.

Qualifications

Minimum Qualifications:

Bachelor’s degree in a related technical field + 5 years relevant experience.
- An additional 4 years will be considered in lieu of the bachelors degree requirement.
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 environments.
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 security 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).

Details

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.

Benefits Statement: Peraton offers eligible employees a variety of benefits including medical, dental, vision, life, health savings account, short/long term disability, EAP, parental leave, 401(k), paid time off (PTO) for vacation, and company paid holidays. A full listing of available benefits can be viewed at https://www.careers.peraton.com/benefits.

Application Statements: The application period for the job is estimated to be 30 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates. By applying to this job, you are expressing interest in the role and the Company. During the review of your application, you may be required to participate in an on-camera interview, as well as participate in a process to verify your identity.

EEO: Equal opportunity employer, including disability and protected veterans, or other characteristics protected by law.

Apply Now

Refine Your Search

geospatial analyst deployable jobs

Generative AI Specialist / AI & ML Developer

Forward Deployed Analyst

Senior Research Scientist

Sr Research Scientist

Publicly Available Information Targeting SME

SME - PAI/OSINT Targeting

Machine Learning Engineer (Applied ML/MIssion Systems) - R133

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