FTI - Frontier Technology Inc.

• Drive Air Force market growth. • Lead all growth activities within the Air Force pipeline, developing and executing account strategies that position the company’s solutions as mission-relevant capabilities. • Identify future mission problems and shape solutions. • Engage operational users, program offices, and mission leaders to understand emerging challenges and shape solutions that align the company’s platforms and capabilities to those needs. • Execute a solution sales approach. • Move beyond traditional opportunity tracking by building demand through mission engagement, demonstrations, pilots, prototypes, and early adoption programs. • Identify, qualify, and mature opportunities from early mission engagement through capture and proposal stages across multiple acquisition pathways (SBIR, OTA, CSO, MAC, IDIQ, and other vehicles). • Build lasting and trusted strategic relationships across Air Force including operational units, acquisition offices, laboratories, and mission support organizations. • Work closely with technology, capture and proposal teams, operations, and shared services to ensure opportunities are properly shaped, resourced, and executed. • After initial wins drive expansion within Air Force organizations by identifying additional mission users/applications and scaling adoption across commands and programs.

• Drive Air Force market growth. • Lead all growth activities within the Air Force pipeline, developing and executing account strategies that position the company’s solutions as mission-relevant capabilities. • Identify future mission problems and shape solutions. • Engage operational users, program offices, and mission leaders to understand emerging challenges and shape solutions that align the company’s platforms and capabilities to those needs. • Execute a solution sales approach. • Identify, qualify, and mature opportunities from early mission engagement through capture and proposal stages across multiple acquisition pathways (SBIR, OTA, CSO, MAC, IDIQ, and other vehicles). • Build lasting and trusted strategic relationships across Air Force including operational units, acquisition offices, laboratories, and mission support organizations. • Drive expansion within Air Force organizations by identifying additional mission users/applications and scaling adoption across commands and programs.

• Design and implement APIs, data pipelines, and simulation runtime logic that connect and enable mission applications. • Develop software using modern programming languages such as Java, Python, C++, or TypeScript/Angular. • Write clean, testable, and maintainable code following secure coding and software engineering best practices. • Build and integrate modular microservices to improve scalability, maintainability, and interoperability. • Build and deploy containerized, cloud-native services using Docker, Kubernetes, and CI/CD pipelines. • Implement Infrastructure-as-Code and automation scripts to accelerate deployment and configuration management. • Contribute to secure deployments across hybrid or disconnected environments (IL4–IL6, AWS GovCloud, or on-prem). • Develop distributed systems and data integration frameworks using message buses such as Kafka or Redis. • Engineer data flow between analytic, AI, and simulation components to support real-time mission use cases. • Collaborate with system engineers and architects to ensure interoperability across software ecosystems. • Build and manage databases (PostgreSQL, MongoDB, graph DBs) and model complex data relationships. • Develop data services that feed analytics pipelines or integrate AI/ML outputs into runtime systems. • Write, test, and deploy software within secure or classified environments. • Automate testing and monitoring to ensure performance, reliability, and repeatable deployments. • Support the transition of prototypes to operational systems, focusing on maintainability and observability.

• Design, develop, and deploy AI/ML models and pipelines that meet mission and performance objectives. • Build, train, and fine-tune models using frameworks such as PyTorch, TensorFlow, scikit-learn, Hugging Face, and LangChain. • Develop and operationalize MLOps pipelines (MLflow, Kubeflow, DVC, or custom training/inference orchestration). • Implement and optimize vector databases (Milvus, Pinecone, Chroma, FAISS) and retrieval architectures (RAG, graph, hybrid). • Write clean, efficient Python code for data ingestion, feature engineering, embeddings, and inference services. • Experiment with fine-tuning and optimization of LLMs and task-specific models (LoRA, QLoRA, PEFT). • Contribute to agent-based applications using frameworks like LangGraph, AutoGen, CrewAI, or DSPy. • Integrate AI services into real-world systems via APIs, event-driven workflows, or UI copilots. • Collaborate with data engineers, software developers, and mission analysts to ensure AI models are production-ready and aligned with customer needs. • Participate in peer reviews, contribute to shared repositories, and document models and experiments for reproducibility.

• Architect and integrate hybrid AI systems that combine traditional machine learning, deep learning, large language models (LLMs), and retrieval-augmented generation (RAG) pipelines. • Design and deploy scalable AI architectures including APIs, microservices, and model-serving frameworks that integrate seamlessly with analytic, simulation, or operational systems. • Lead the full AI/ML lifecycle — from data ingestion and feature engineering through training, deployment, and sustainment within secure DoD environments (IL5/IL6, ATO, GovCloud). • Engineer event-driven data pipelines and feature stores for both structured and unstructured data, including text, imagery, and simulation outputs. • Ensure Responsible AI practices by embedding traceability, explainability, and confidence scoring into deployed systems. • Implement and maintain MLOps pipelines (MLflow, Kubeflow, Airflow, Docker/Kubernetes) to support continuous integration, retraining, and drift detection. • Transition R&D prototypes into production, optimizing for mission constraints such as limited compute, edge environments, or disconnected operations. • Collaborate across engineering, data, and modeling teams to unify FTI’s AI portfolio, ensuring interoperability and reuse across mission systems.

• Build, manage, and grow a high-value pipeline of cyber-related opportunities, leveraging relationships, market insights, and understanding of mission priorities across the DoD. • Drive the identification, shaping, and capture of new business opportunities in support of DoD Cyber Security. • Collaborate with operational, technical, and functional leaders across FTI to align internal capabilities with external customer demands, bringing forward differentiated and competitive solutions. • Assist in guiding potential customers by demonstrating technology solutions, architectures, capabilities, and potential acquisition paths for early-stage opportunities, working with internal technical and program management teams to develop responses for requests for information (RFI), market surveys, white papers, presentations, briefings, and major event demonstrations. • Support bid/no bid decisions, proposal strategy development, resource planning, and overall capture execution. • Maintain a clear understanding of customer funding profiles, acquisition strategies, and emerging requirements to proactively position FTI. • Contribute to internal growth planning efforts including strategic planning and market analysis relevant to the cyber domain. • Help foster a culture of growth, accountability, and high performance within the BD team. • Develop and deliver reports and briefs as required.