C2 SMART Lead AI Engineer

DescriptionAbout Our TeamOur employees thrive in a culture that's fast-paced and ego-free, where innovation and collaboration are encouraged at every turn. We are an organization that provides federal agencies and commercial clients instant access to experienced and talented professionals who understand their unique challenges and know the most efficient ways to address them. We are continually investing in resources and talent, so we stay prepared with specialized teams in the place who are experts in creating tailored technologies. Our solutions empower our clients to grow, modernize, and succeed in a rapidly evolving landscape.We value all voices and want to attract talent from all backgrounds. We are on the lookout for individuals who are passionate about technology and thrive in environments where problem-solving is approached with creativity and enthusiasm. If you are someone who enjoys continuously expanding your skill set while tackling real-world business problems, you will feel right at home with us. Veterans and military spouses are especially encouraged to bring your unique and valuable experience to our team.About the RoleAre you ready to lead the charge in shaping the future of AI innovation? We’re seeking Lead AI Engineer who thrives at the cutting edge of technology, with a passion for solving complex challenges and transforming ideas into reality. In this role, you’ll spearhead the development of groundbreaking AI solutions that power mission-critical operations for the U.S. Army. As a senior member on our team, you’ll design and deploy state-of-the-art models- ranging from deep learning to large language models (LLMs) to revolutionize processes, automate workflows, and unlock new levels of efficiency. Beyond the code, you’ll collaborate with brilliant engineers and subject matter experts to push boundaries and redefine what's possible. You'll play a pivotal role in integrating cutting-edge AI capabilities into operational systems, bridging the gap between innovation and execution. This is not just a job, it’s a chance to be a part of something bigger, where your creativity and technical expertise directly contribute to national security and digital transformation. If you’re energized by solving real-world problems, working on a diverse team, and making a tangible impact, this is the role for you.Responsibilities Design, build and deploy advanced machine intelligence applications such as digital agents (chatbots) and pattern recognition systems for text, image, and speech recognition.Develop and optimize Natural Language Processing (NLP) systems, with a focus on entity extraction and machine learning-driven language understanding.Apply expertise in large language models (LLM), Domain Specific Language Models (DSLMs) and Retrieval-Augmented Generation (RAG) to create scalable, high-performance language models that drive business and product innovation.Architect models for small servers and constrained hardware (e.g., ruggedized x86/ARM, NVIDIA Jetson, Intel NUC).Define the edge vs. core processing strategy (on device inference, partial offload, opportunistic sync) for disconnected/low bandwidth conditions.Deploy machine learning models into larger systems, ensuring seamless integration and monitoring real-time performance. Implement feedback loops to continuously optimize models based on production data.Develop Generative AI & Traditional AI platform capabilities on enterprise on-prem and cloud platforms.Build automation capabilities for ML and LLM model deployment to on-prem and cloud platforms (e.g., GCP-Vertex AI, Azure ML).Standardize model consumption and data pipeline deployment, enabling multiple Lines of Business (LOB) to utilize the deployed models efficiently.Work closely with UX/UI designers and front-end developers to create interfaces that enhance the user experience of AI-powered tools such as chatbots and dashboards.Collaborate with data engineers to optimize the scoring pipeline for AI models, ensuring high-performance scoring and inferencing capabilities for ML models.Work with product owners, DevSecOps teams, data engineers, and support teams to define and drive end-to-end model scoring pipelines, ensuring seamless deployment and scalability.Design, build, and deploy artificial intelligence solutions that empower humans to make more informed decisions.Participate in day-to-day standups to contribute to platform capability development and ensure alignment across teams.Provide Subject Matter Expertise (SME) guidance to engineers on software engineering principles, model training and deployments, and platform capabilities.Lead AI use case delivery, collaborating with business subject matter experts, data engineers, security engineers and LOB technology teams using standardized platform processes and capabilities.TAG: RequirementsRequired Qualifications:A minimum of 6 years of related experience in the area of Machine Learning/AI with a Bachelor’s degree; or equivalent combinat