Pay
$166K–$240K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 1,279 postings in the last year. Stated ranges, not salaries paid.
AI/Machine Learning Engineer 2
Annapolis Junction, MD, US
Live, first seen by us today- Pay
- Pay not listedSimilar roles state $166K–$240K
- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: FULL_TIME
From the employer’s posting
Before you apply
- Work authorization
- US citizens only
US Citizenship is required for all applicants
What you’ll work on
Full postingCapture and document user workflows, turning needs into automation requirements
Design and implement LLM-powered workflows, agentic automation, and hybrid AI solutions
Integrate AI systems with APIs, enterprise data sources, and mission platforms
Develop and maintain Python-based applications and automation tools
Ensure solutions meet security, governance, and performance rules in classified environments
From the employer’s posting
Capture and document user workflows, translating operational needs into automation requirements and executable solutions.
Design, develop, and implement AI/ML capabilities including LLM-powered workflows, agentic automation, and hybrid AI solutions.
Integrate AI systems with APIs, enterprise data sources, and mission platforms.
Develop and maintain Python-based applications and automation tools.
Ensure solutions comply with security, governance, and performance requirements within classified environments.
What you’ll bring
All qualificationsCore experience
- Bachelor's degree and 14+ years of experience, including 3+ years supporting AI/ML, data science, or software engineering initiatives within cyber, intelligence, or national security environments.
- Experience capturing operational workflows and translating requirements into automation, process maps, or executable solutions.
- Experience designing and implementing LLM-powered or agentic workflows, including orchestration and tool integration.
- Experience integrating AI capabilities with APIs, enterprise data sources, and mission platforms.
- Strong Python development skills and experience building production-ready applications or automation solutions.
Preferred experience
- Experience engineering and deploying AI capabilities within on-premises, air-gapped, or multi-classification environments.
- Experience with AWS and/or Azure, particularly in restricted or mission-focused environments.
- Experience with AI development frameworks such as LangChain, LangGraph, PydanticAI, or CrewAI.
- Experience with machine learning frameworks including PyTorch, TensorFlow, vLLM, or llama.cpp.
Qualification wording
Bachelor's degree and 14+ years of experience, including 3+ years supporting AI/ML, data science, or software engineering initiatives within cyber, intelligence, or national security environments.
Experience capturing operational workflows and translating requirements into automation, process maps, or executable solutions.
Experience designing and implementing LLM-powered or agentic workflows, including orchestration and tool integration.
Experience integrating AI capabilities with APIs, enterprise data sources, and mission platforms.
Strong Python development skills and experience building production-ready applications or automation solutions.
Experience engineering and deploying AI capabilities within on-premises, air-gapped, or multi-classification environments.
Experience with AWS and/or Azure, particularly in restricted or mission-focused environments.
Experience with AI development frameworks such as LangChain, LangGraph, PydanticAI, or CrewAI.
Experience with machine learning frameworks including PyTorch, TensorFlow, vLLM, or llama.cpp.
Education & alternatives
Qualifications: - Bachelor's degree and 14+ years of experience, including 3+ years supporting AI/ML, data science, or software engineering initiatives within cyber, intelligence, or national security environments. - Experience capturing operational workflows and translating requirements into automation, process maps, or executable solutions.
- Experience with machine learning frameworks including PyTorch, TensorFlow, vLLM, or llama.cpp. - Familiarity with cyber intelligence workflows, operational analytics, and mission-focused data environments; a Master's degree in a related technical field is a plus. Requirements:
About Columbia Technology Partners
Founded in 2007, Columbia Technology Partners is a Service-Disabled Veteran Owned Small Business with a specialization in technology and management consulting committed to solving intricate and sensitive technology issues facing corporations and federal agencies.
In the employer’s words · Read in context
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Nov 3, 2026today
- Recorded sightings
- 2
- Last seen by us
- Nov 4, 2026
- Reposted
- once since Aug 31, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications. We count a repost when the same title and location comes back as a new listing within 60 days of the last one coming down. Some hiring systems expire listings on a schedule, so repost rates vary by system.
How this job compares
Time since we first saw it
Day 0
Early. Similar jobs usually come down between day 6 and day 69.
From 4,284 similar postings that came down. Coming down is not always a hire.
Columbia Technology Partners is hiring
6 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Takes jobs down quickly
- 50% of open jobs were reposted
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- AWS
- Azure
- PyTorch
- TensorFlow
Where the posting names them
- Integrate AI systems with APIs, enterprise data sources, and mission platforms. - Develop and maintain Python-based applications and automation tools. - Collaborate with technical and mission stakeholders to ensure reliable deployment and operational effectiveness.
- Experience integrating AI capabilities with APIs, enterprise data sources, and mission platforms. - Strong Python development skills and experience building production-ready applications or automation solutions. Desired Skills:
- Experience engineering and deploying AI capabilities within on-premises, air-gapped, or multi-classification environments. - Experience with AWS and/or Azure, particularly in restricted or mission-focused environments. - Experience with AI development frameworks such as LangChain, LangGraph, PydanticAI, or CrewAI.
- Experience with AI development frameworks such as LangChain, LangGraph, PydanticAI, or CrewAI. - Experience with machine learning frameworks including PyTorch, TensorFlow, vLLM, or llama.cpp. - Familiarity with cyber intelligence workflows, operational analytics, and mission-focused data environments; a Master's degree in a related technical field is a plus.
Your next step
Complete your application on ctpweb.isolvedhire.com. The employer’s form will show what is required.
Already applied? Track this application
Has Columbia Technology Partners posted this job before?
Yes. We’ve followed one other AI/Machine Learning Engineer 2 job there since August 2026. It is still up.
Job description
Description:
Columbia Technology Partners is seeking an AI/ML Engineer to support mission-critical intelligence operations within a fast-paced national security environment. In this role, you will work directly with mission users to capture complex analytical workflows, identify operational decision points, and develop AI-enabled solutions that improve efficiency, accessibility, and decision-making.
The ideal candidate will have experience designing and implementing AI-driven workflows, integrating large language models (LLMs) into operational processes, and developing solutions that operate effectively within secure enterprise environments. You will collaborate closely with analysts, operators, developers, and mission leadership to deliver scalable capabilities that align with mission requirements and security expectations.
Key Responsibilities:
- Capture and document user workflows, translating operational needs into automation requirements and executable solutions.
- Design, develop, and implement AI/ML capabilities including LLM-powered workflows, agentic automation, and hybrid AI solutions.
- Integrate AI systems with APIs, enterprise data sources, and mission platforms.
- Develop and maintain Python-based applications and automation tools.
- Collaborate with technical and mission stakeholders to ensure reliable deployment and operational effectiveness.
- Ensure solutions comply with security, governance, and performance requirements within classified environments.
Qualifications:
- Bachelor's degree and 14+ years of experience, including 3+ years supporting AI/ML, data science, or software engineering initiatives within cyber, intelligence, or national security environments.
- Experience capturing operational workflows and translating requirements into automation, process maps, or executable solutions.
- Experience designing and implementing LLM-powered or agentic workflows, including orchestration and tool integration.
- Experience integrating AI capabilities with APIs, enterprise data sources, and mission platforms.
- Strong Python development skills and experience building production-ready applications or automation solutions.
Desired Skills:
- Experience engineering and deploying AI capabilities within on-premises, air-gapped, or multi-classification environments.
- Experience with AWS and/or Azure, particularly in restricted or mission-focused environments.
- Experience with AI development frameworks such as LangChain, LangGraph, PydanticAI, or CrewAI.
- Experience with machine learning frameworks including PyTorch, TensorFlow, vLLM, or llama.cpp.
- Familiarity with cyber intelligence workflows, operational analytics, and mission-focused data environments; a Master's degree in a related technical field is a plus.
Requirements:
- U.S. Citizenship is required for all applicants. CTP is an equal opportunity employer and abides by applicable employment laws and regulations. All applicants and employees are subject to random drug testing in accordance with Executive Order 12564. Employment is contingent upon successful completion of a security background investigation and polygraph.
- Certification Requirements:
- DOD 8570 Certification
This position requires an active Security Clearance with appropriate Polygraph.
About us:
Founded in 2007, Columbia Technology Partners is a Service-Disabled Veteran Owned Small Business with a specialization in technology and management consulting committed to solving intricate and sensitive technology issues facing corporations and federal agencies. Since its inception, CTP has been instrumental in the technical design, engineering development, operational deployment, and support of key systems. With a proven track record in information security, project management, systems/network engineering, security risk management, vulnerability assessments, and mobile security implementation; our employees have the experience, expertise, and innovative thinking our customers need for results that exceed expectations. CTP staff have worked closely with both government engineers and management to gather mission requirements, develop the architecture to deliver the needed functionality and assess tools available to meet or exceed the needs of the mission.
At Columbia Technology Partners (CTP), we are united in being the best that we can be as individuals, but our core belief is that we can be better together. Together we will take on each mission with an execution process that authentically represents who we are. Our success relies on our team values, the foundation we built around them, and the Partners we become along the way.
That's why our pay is competitive, our missions are critical, and our benefits
represent what matters most to CTP: Our People.
Salary Range Transparency
At Columbia Technology Partners we are committed to transparency and fairness in our compensation practices. We believe in creating a work environment where employees feel valued, empowered, and rewarded for their contributions.
How We Determine Salary Ranges
Our salary ranges are based on the following key factors:
- Job Role and Responsibilities: The specific duties and responsibilities associated with each role form the foundation of our compensation structure.
- Market Research and Industry Benchmarks: We conduct regular analysis of market trends and salaries across our industry, using reliable compensation data to ensure we stay competitive.
- Experience and Qualifications: An individual's experience, education, certifications, and specialized skills all contribute to determining their position within a salary range.
- Location: Salary ranges may be adjusted based on geographic cost of living, in accordance with local and national standards.
- Company Performance: Our compensation practices also take into account overall company performance and financial health, ensuring that we maintain sustainability while rewarding our team.
Really good benefits, for really GREAT people:
From our CTP Family to yours, we know how important these decisions are. Your benefits are about you, not us. Tell us what you need in order to see a future at CTP; let's get where you're going, together.
Medical: CTP offers 3 superior plans, bringing our employees both in-network and out-of-network options.
Vision + Dental: Both free to you + paid in full by CTP.
Retirement: 401k - 6% company contribution
PTO + Leave: A work life balance is extremely important to our team here at CTP, which is why our paid time off plans are so lucrative. Offering customizable leave plans to meet your needs is just one of our many perks! Jury Duty, Bereavement + Military Leave provided.
Career Growth: Up to $10,000 provided for approved career-related learning, training, education, and/or tuition.
Life and AD&D Insurance/Short-Term & Long-Term Disability: More peace of mind, at zero cost to you.
Profit Sharing Bonus: End of year cash gets added to your bottom-line.
Referral Bonus Program: Our tiered program provides an incentive with each stage of the hiring process your referral passes. Our bonuses range from $7,000-$20,000, if your referral joins the team.
Columbia Technology Partners is an Equal Opportunity Employer. We consider applicants without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender, gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, or membership in any other group protected by federal, state, or local law. Our EEO policy reflects our commitment to ensure equality and promote diversity and inclusion in the workplace. Our policy applies to all employees, job candidates, contractors, stakeholders, partners, and visitors.
CTP was voted one of the top 25 best places to work in Baltimore by Baltimore Magazine!
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Annapolis Junction, MD, US
- Capture and document user workflows, translating operational needs into automation requirements and executable solutions. - Design, develop, and implement AI/ML capabilities including LLM-powered workflows, agentic automation, and hybrid AI solutions. - Integrate AI systems with APIs, enterprise data sources, and mission platforms.
- Work authorization
Requirements: - U.S. Citizenship is required for all applicants. CTP is an equal opportunity employer and abides by applicable employment laws and regulations. All applicants and employees are subject to random drug testing in accordance with Executive Order 12564. Employment is contingent upon successful completion of a security background investigation and polygraph. - Certification Requirements:
More source context
- DOD 8570 Certification This position requires an active Security Clearance with appropriate Polygraph. About us:
More relevant text appears in the full description.