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Job Title Artificial Intelligence/Machine Learning Engineer Overview EverWatch is a government solutions company providing advanced defense, intelligence, and deployed support to our country’s most critical missions. We are a full-service government solutions company. Harnessing the most advanced technology and solutions, we strengthen defenses and control environments to preserve continuity and ensure mission success. EverWatch employees are focused on tackling the most difficult challenges of the US Government. We offer the best salaries and benefits packages in our industry - to identify and retain the top talent in support of our critical mission objectives. Commitment To Non-Discrimination All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law. Responsibilities Cyber and intelligence analysts rely on multi‑step workflows that are time‑sensitive, detail‑rich, and critical to national security. As an Artificial Intelligence/Machine Learning Engineer, you will work directly with mission users to capture these workflows, document operational decision points, and translate them into effective AI‑enabled capabilities. You will design and implement solutions that may include LLM‑powered workflows, agent‑based automation, or hybrid approaches depending on mission needs. Your work will streamline analytical tasks, improve data accessibility, and support rapid, informed decision‑making in high‑tempo environments. You’ll collaborate with operators, analysts, developers, and mission leadership to ensure solutions integrate cleanly with existing systems, perform reliably in production, and adhere to the security and governance expectations of classified environments. Join us. The world can’t wait. Qualifications You Have: Experience capturing user workflows and translating them into structured process maps, automation requirements, or executable logic Experience designing or implementing LLM‑based or agentic workflows, including multi‑step reasoning, tool integrations, and orchestration Experience integrating AI systems with APIs, enterprise data stores, or mission platforms Experience with programming languages such as Python TS/SCI clearance with a polygraph Bachelor’s degree and 3+ years of experience in AI/ML engineering, data science, or software engineering within cyber, intelligence, or national security environments, 6+ years of experience in AI/ML engineering, data science, or software engineering within cyber, intelligence, or national security environments in lieu of a degree, OR Master's degree and technical experience Nice If You Have Experience engineering AI capabilities in on‑premise or multi‑classification environments Experience with AWS or Azure, including work in restricted or classified environments Experience with AI/LLM development framework such as LangChain, LangGraph, PydanticAI, or CrewAI Experience with ML frameworks such as PyTorch, TensorFlow, vLLM, or llama.cpp Experience with cyber or intelligence workflows, operational data types, or mission‑oriented analytical processes Master’s degree in AI, ML, Data Science, Cybersecurity, or Engineering Clearance Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information ; TS/SCI clearance with a polygraph is required . Compensation at EverWatch is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $47.60 to $108.18 per hour. The estimate displayed represents the typical compensation range for this position and is just one component of EverWatch’s total compensation package for employees. Job Locations US-MD-Annapolis Junction Skills AI/ML, LLM, API, Python
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.