Lead AI Engineer

About the Company

At our core, we believe in the transformative power of technology, innovation, and collaboration. Guided by our values of People Matter, Integrity, and a Commitment to Excellence, we’ve created a vibrant, inclusive environment where creativity thrives and boundaries are pushed.

By joining our team, you’ll become part of a dynamic group of trailblazers—individuals who are not only passionate about solving business challenges but also dedicated to making a lasting impact. We use the latest technologies to craft tailored solutions that deliver extraordinary value to our clients.

If you’re ready to work in an ego-free, fast-paced culture and solve real-world problems in a creative and empowering environment, we want you on our team.

About the Role

Are you ready to lead the charge in shaping the future of AI innovation? We’re seeking a 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 leader 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, data scientists, 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

AI Application Development:

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.
Deep Learning Model Development:
Design and implement deep learning models for various AI applications, including text classification, image recognition, and generative models.
Perform machine learning optimization via feature selection, metrics analysis, and hyperparameter adjustment for enhanced model accuracy and efficiency.

Large Language Models (LLM) & Retrieval-Augmented Generation (RAG):

Apply expertise in large language models (LLM) and Retrieval-Augmented Generation (RAG) to create scalable, high-performance language models that drive business and product innovation.

Model Deployment & Real-Time Monitoring:

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.

Platform Capability Development:

Develop Generative AI & Traditional AI platform capabilities on enterprise on-prem and cloud platforms.
Build automation capabilities for ML and LLM model deployment on 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.

UI Development for AI Applications:

Lead the design and development of intuitive and responsive user interfaces for AI applications, ensuring smooth user interaction and visualization of AI-driven insights.
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 AI dashboards.

Collaboration & Optimization:

Collaborate with Data Scientists to optimize the scoring pipeline for AI models, ensuring high-performance scoring and inferencing capabilities for ML models and LLMs.
Work with product owners, DevSecOps teams, data scientists, 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.

Leadership & SME Guidance:

Provide Subject Matter Expertise (SME) guidance to data science teams on software engineering principles, model training and deployments, and platform capabilities.
Lead AI use case delivery, collaborating with business subject matter experts, data scientists, data engineers, security engineers and LOB technology teams using standardized platform processes and capabilities.

QUALIFICATIONS

Typically requires a minimum of 8 years of related experience with a Bachelor’s degree; or 6 years with a Master’s degree; or a PhD with 3 years of experience; or equivalent combination of related education and work experience.
Expertise in entity extraction and advanced NLP techniques within machine learning frameworks.
Strong experience in deep learning model design and development, including classification and generative models.
Skilled in machine learning optimization, focusing on feature selection, metrics analysis, and hyperparameter tuning.
Hands-on experience with large language models (LLM) and Retrieval-Augmented Generation (RAG).
Proven ability to deploy AI models to Microsoft cloud platforms (CoPilot, Azure ML, and/or Amazon Bedrock), including real-time performance monitoring.
Experience in building platform capabilities to automate ML/LLM model deployment and scaling, as well as standardizing data pipeline deployments for model consumption across various LOBs.
Basic to intermediate knowledge of the following technical skills:
API architecture and design strategy.
API development (consumer and producer).
API performance tuning.
VMF (Variable Message Format) and JSON message formats.
Disconnected operations experience (e.g., ATAK to TAK server, TAK server to TDP connections).
Appian application architecture and Appian data fabric.
Data tagging (Appian/Kafka) and data aggregation.
Kafka architecture and Kafka development.
Strong ability to collaborate across functions, including product management, DevOps, and data science teams, and lead AI use case delivery from concept to deployment.
Preferred candidate will have significant substantive experience with mission IT-focused AI solutions.
Preferred candidate will demonstrate experience and capability to advise the federal government on all aspects of the AI domain to implement and adopt innovative AI solutions.
Military-experienced candidates are encouraged to apply.
Candidates may need to obtain Security Clearances.

Why Join Us?

This is more than a job—it’s a mission. Join a team where your expertise in AI will drive transformative change, from revolutionizing military operations to designing systems that enhance national security. Work alongside creative and passionate colleagues, leverage cutting-edge technology, and tackle challenges that make a difference.

Together, we’ll create the future. Are you ready to take the lead?

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