Everforth ECS is seeking a Principal AI/ML Scientist to work in our Arlington, VA office.
Everforth ECS Federal is seeking an experienced Principal AI/ML Scientist to design, develop, and deploy AI solutions that drive business growth and improve operational efficiency for our federal government clients. The ideal candidate will have a deep understanding of AI principles, architectures, and technologies, as well as experience working with government agencies and cloud-based platforms. The Principal will lead and contribute to development efforts, guide decision making, and support functional efforts across the program.
Key Responsibilities:
- Design and Develop AI Solutions: Develop and implement AI architectures that meet business requirements, using techniques such as machine learning, deep learning, natural language processing, and computer vision.
- Design and develop AI-based solutions
- Team Leadership and Development: Identify major skillsets and roles needed to shape functional development of AI solutions across the program. Participate in the development and mentorship of AI resources.
- As the program SME; provide knowledge sharing, educate, and generally upskill program resources to become familiar and comfortable with using AI to increase efficiencies in solving technical problems.
- Mentor junior team members and provide guidance on AI principles, architectures, and technologies.
- Evaluate AI Solutions: Support the evaluation, analysis, and R&D efforts associated with the integration of AI technologies through collaboration, guidance, and leadership. Identify business problems, opportunities, and challenges that can be addressed with AI solutions. Generate robust, consistent, and justifiable analysis outputs to help shape program direction and guide informed decision making.
- Guide Program AI Strategy: Support the definition of an AI strategy for the program to follow, identify appropriate AI architectures, principles, and technologies. Support the development of program roadmaps that align with business goals and objectives. Help identify use cases where the use of AI results in efficiencies in processing, cost savings, and risk reduction. Collaborate with the program at large to ensure consistent and proper use of AI technologies.
- Guide Policy Crafting and Communication: Stay up to date on modern AI-related laws, policies, and frameworks across commercial and government use. Leverage strong oral and written communication skills to help craft AI policies, ensuring the ethical and secure practice of AI across various systems.
- US citizenship with ability to obtain and maintain Public Trust Suitability
- Bachelor’s degree in computer science, engineering, IT, related field or 5+ years of experience in AI development, AI engineering, and AI architecture.
- Deep understanding of AI principles, architectures, technologies, and governing security policies. Must also be able to incorporate government security considerations in the design and development of AI-based solutions.
- Ability to produce architecture and designs that implement scalability, performance, and cost-effective solutions
- Experience with machine learning, deep learning, natural language processing, and generative AI.
- Sufficient programming skills in languages such as Python, Java, or C++ to demonstrate functionality and kickstart technical efforts.
- Experience with self-hosted and cloud-based AI platforms such as AWS, Azure, or Google Cloud.
- AWS cloud experience (GovCloud preferred), deploying computer, storage, and other native service offerings
- Experience with AI tools, technologies, and frameworks like Sagemaker, Pytorch, TensorFlow, Glue, Databricks, Elasticsearch, Azure AI, Pandas, NumPy, Jupyter Notebook. Must be able to articulate proper uses, pros, cons, and lessons learned.
- Strong communication and collaboration skills with technical and non-technical audiences to share ideas, program vision, and provide proper operational guidance.
- Ability to work in a fast-paced environment with multiple priorities and deadlines.
Skills Required
- Deep understanding of AI principles, architectures, technologies, and governing security policies; incorporate government security considerations into AI design and development.
- Ability to produce architecture and designs that implement scalability, performance, and cost-effective solutions.
- Experience with machine learning, deep learning, natural language processing, and generative AI.
- Sufficient programming skills in languages such as Python, Java, or C++ to demonstrate functionality and kickstart technical efforts.
- Experience with self-hosted and cloud-based AI platforms such as AWS, Azure, or Google Cloud.
- AWS cloud experience (GovCloud preferred), deploying compute, storage, and other native service offerings.
- Experience with AI tools, technologies, and frameworks like SageMaker, PyTorch, TensorFlow, Glue, Databricks, Elasticsearch, Azure AI, Pandas, NumPy, Jupyter Notebook; articulate uses, pros/cons, lessons learned.
- Strong communication and collaboration skills with technical and non-technical audiences.
- Ability to work in a fast-paced environment with multiple priorities and deadlines.
- US citizenship with ability to obtain and maintain Public Trust suitability.
- Bachelor's degree in computer science, engineering, IT, related field or 5+ years of experience in AI development, AI engineering, and AI architecture.
ECS Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about ECS and has not been reviewed or approved by ECS.
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Healthcare Strength — ECS advertises multiple national-network medical plan options with HSA eligibility alongside dental and vision coverage. Coverage generally begins quickly and is paired with company-paid short- and long-term disability, adding stability to the health package.
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Retirement Support — A 401(k) with Safe Harbor and immediate vesting on employer contributions is emphasized, with an employer match available. Access to an employee stock purchase plan via the parent company provides an additional savings avenue.
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Parental & Family Support — Paid parental leave up to 30 days, adoption assistance, and other family-oriented leaves are highlighted. Feedback suggests these offerings add meaningful value beyond base pay for many roles.
ECS Insights
What We Do
ECS, a segment of ASGN (NYSE: ASGN), delivers advanced solutions and services in cloud, cybersecurity, artificial intelligence (AI), machine learning (ML), application and IT modernization, and science and engineering. The company solves critical, complex challenges for customers across the U.S. public sector, defense, intelligence and commercial industries. ECS maintains partnerships with leading cloud, cybersecurity, and AI/ML providers and holds specialized certifications in their technologies. Headquartered in Fairfax, Virginia, ECS has more than 3,400 employees throughout the U.S. and has been recognized as a Top Workplace by The Washington Post for the last five years.
