Job Description
AI Architect at ECS Corporate Services AI Architect at ECS Corporate Services in Fairfax, Virginia Posted in 4 days ago.
Job Description:
Everforth ECS is seeking an AI Architect to work in our Fairfax, VA office. Everforth ECS is seeking talented professionals to join our successful and growing team in building the next-generation Continuous Diagnostics and Mitigation (CDM) Cyber data solution. The CDM Program is the Cybersecurity and Infrastructure Security Agency's (CISA) dynamic approach to strengthening the cybersecurity of Federal networks and systems through better awareness and visibility into their security posture and cyber threats. ECS is responsible for designing, building, deploying, operating, and maintaining a complete 'Data Services' solution which includes the collection, normalization, visualization, and sharing of cyber data from more than 100 Federal agencies. The CDM Data Services product is an integrated suite of multiple Commercial Off the Shelf (COTS) products, software configuration packages, and custom code which work together to operate as an integrated solution tailored to meet Department of Homeland Security (DHS) requirements. We are seeking professionals who thrive in a dynamic, fast-paced, and highly collaborative environment where problem-solving, critical thinking, and a holistic approach to serving the mission are key. Our program operates within the Scaled Agile Framework (SAFe). An aptitude and enthusiasm for continuous learning, improvement, and cyber security is a must! Job Summary:
ECS Federal is seeking an experienced AI Architect 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 AI Architect will lead and contribute to development efforts, guide decision making, and support functional efforts across the program. Key Responsibilities:
Set Program AI Strategy:
Define an AI strategy for the program to follow, define appropriate AI architectures, principles, and technologies. Develop program roadmaps that align with business goals and objectives. 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. 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 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 and articulate clear AI policies, ensuring the ethical and secure practice of AI across various systems. Team Leadership and Development:
Identify major skillsets and roles needed to shape functional development of AI solutions across the program. Develop AI resources from recruitment through career advancement to ensure the program limits skill gaps and can deliver AI-based solutions where appropriate. 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. 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.
