FTI - Frontier Technology Inc.

Machine Learning Engineer

• 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
• Document models and experiments for reproducibility

AI/ML Engineer

Artificial Intelligence

• 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.

Software Engineer

• Manage a team of software engineers across the full lifecycle of software development, from planning through deployment.
• Contribute directly to software design, development, testing, and implementation activities.
• Ensure adherence to engineering best practices including coding standards, version control, code reviews, and documentation.
• Support the adoption of modern tools, frameworks, and development methodologies that strengthen the team’s technical capabilities.
• Work closely with product management, design, operations, and other internal teams to identify and prioritize features and enhancements.
• Troubleshoot and resolve complex technical issues to maintain stability, performance, and reliability across applications.
• Present project progress, roadblocks, and solutions to senior leadership and key stakeholders.
• Identify and integrate tools and technologies that improve team efficiency and customer delivery.
• Partner with internal customers and operations to strengthen transparency, collaboration, and customer intimacy.

Software Development Manager

Full-stack Engineer

• Software Design & Development: 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.
• Cloud & Containerized Environments: Build and deploy containerized, cloud-native services using Docker, Kubernetes, and CI/CD pipelines (GitLab, Jenkins, or equivalent).
• 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).
• Systems Integration & Distributed Computing: 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.
• Data & Analytics Integration: 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.
• Work with serialization and exchange formats such as JSON, Protobuf, GeoJSON, or KML.
• Security, Testing & Sustainment: 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.

AI/ML Software Engineer

• 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
• Support proposal and solution development, providing technical inputs for AI/ML architectures, data strategies, and Responsible AI assurance frameworks

Distinguished AI/ML Engineering Lead

• Architect and deploy secure, distributed platforms supporting modular, multi-service environments
• Design and integrate APIs, data pipelines, and microservice-based systems that enable interoperability across mission and analytical environments
• Develop modular architectures that adhere to open standards and are adaptable to changing mission needs
• Define and enforce architectural principles, patterns, and best practices across software and platform teams
• Engineer solutions in AWS GovCloud or hybrid IL4–IL6 environments with strong security and compliance standards
• Implement Infrastructure-as-Code (Terraform, CloudFormation, or CDK) for consistent provisioning and configuration management
• Build and maintain CI/CD pipelines that automate secure deployments, testing, and accreditation workflows
• Ensure platform designs support zero-trust security principles and multi-enclave integration
• Design or operate large-scale data ingestion, transformation, and orchestration environments (e.g., Kafka, Airflow, Spark, Databricks, or similar)
• Engineer architectures for redundancy, cross-domain integration, and resilience under degraded or disconnected conditions
• Transition systems from prototype to production, ensuring maintainability, observability, and configuration drift management
• Incorporate emerging technologies and open architectures into operational environments
• Mentor software engineers and architects across teams, raising technical capability and architectural discipline

Distinguished Software Engineering Lead

• Provide technical leadership and direct contributions in AI/ML model design, development, and deployment.
• Architect scalable AI solutions using deep learning, generative AI, and ML Ops pipelines suitable for operational DoD environments.
• Serve as technical hands-on quality control, ensuring AI architectures are sound, secure, and scalable.
• Guide data engineering efforts, including data curation, labeling, and pipeline design.
• Mentor and coach engineers and data scientists, raising team capability and setting standards for model quality, performance, and ethics.
• Stay current with AI advancements, applying cutting-edge techniques while balancing research with mission delivery.
• Collaborate with product and solution management to align technical direction with customer requirements.
• Provide AI technical inputs to proposals, capture activities, and solution roadmaps in partnership with Business Development.

Distinguished Technical Lead – AI/ML Engineering

• Provide technical leadership and hands-on contributions in software design, coding, and architecture
• Lead technical design reviews, enforce coding and quality standards, and serve as technical quality control for assigned projects
• Architect scalable, cloud-native solutions using microservices, APIs, and modern frameworks
• Partner with product managers and business development to ensure software delivery aligns with customer requirements and future innovation
• Mentor and coach development teams, raising technical capability and instilling best practices in secure coding and DevSecOps
• Guide implementation of CI/CD pipelines, automated testing, and secure software delivery
• Balance technical rigor with delivery needs, serving as both architect and practitioner

Technical Software Engineering Lead

Technical AI/ML Engineering Lead

• Provide technical leadership and hands-on contributions in software design, coding, and architecture.
• Lead technical design reviews, enforce coding and quality standards, and serve as technical quality control for assigned projects.
• Architect scalable, cloud-native solutions using microservices, APIs, and modern frameworks.
• Partner with product managers and business development to ensure software delivery aligns with customer requirements and future innovation.
• Mentor and coach development teams, raising technical capability and instilling best practices in secure coding and DevSecOps.
• Guide implementation of CI/CD pipelines, automated testing, and secure software delivery.
• Balance technical rigor with delivery needs, serving as both architect and practitioner.

Technical Lead – Software Engineering

Project Manager

• Act as the technical lead for USSOCOM PM-SL Program Managers and serve as the focal point for government S&T offices, facilitating collaboration between CD&I, other S&T offices, and lethality commodity areas.
• Expedite development and transition of emerging technologies.
• Solve macro to micro-level problems, such as outlining and documenting safety and IHC processes, and finding solutions to minimize transition cost, risk, and schedule.
• Facilitate collaboration between CD&I, USSOCOM, big-services, and foreign partners to leverage resources, reduce cost, and schedule of programs.
• Guide technology development to fulfill operational gaps and ensure USSOCOM operators maintain the lethality advantage on the battlefield.
• Oversee all areas of program acquisition, including developing requirements, drafting acquisition plans and schedules, providing engineering oversight, coordinating test plans, coordinating logistics, and outlining life cycle support.
• Observe testing or provide guidance as required by USSOCOM.
• Participate in directed progress reviews and status briefings to assist USSOCOM with planning for additional efforts that may benefit the current or future PM Lethality POR portfolio.
• Validate that specified testing is conducted with approved procedures on calibrated equipment.
• Assist in proactive scheduling of required performance verification testing and safety testing and reviews in both RDT&E phase required for SOF Component OT&E and Acquisition POR phase (F&DR).
• Record and archive test plans and reports; identify and recommend efficiencies in RDT&E execution, schedule coordination between S&T schedules and Program of Record schedules, and efficiencies in testing that can be used in acquisition to reduce time and cost.
• Maintain awareness and familiarity with all current and future PM-SL acquisition efforts as well as CD&I (IWTSD) projects.
• Assist with running and planning the PM SL International Special Operations Forces (ISOF) Range, conducted annually as part of the PEO level SOF Warrior Innovation Technology Collaboration Huddle (SWITCH) events.
• Attend Integrated Product Team (IPT) meetings (location TBD) to cover Mid-Tier and Major Systems Acquisitions Program of Record Developmental Testing / Operational Testing events.
• Complete other assignments and duties as assigned.

Transition Project Manager – USSOCOM PEO SOF Warrior

Security Engineer

• Develop and manage budgets for cyber programs using DoD and industry standards.
• Serve as the liaison between FTI, technical teams, government agencies, and customers.
• Lead program deliverables, status reports, and review meetings.
• Identify new opportunities in the cybersecurity domain.
• Build and lead high-performing teams.

Senior Program Manager, Cybersecurity

• Drive growth and business execution across DoD domains (land, sea, air, space, and cyber) with emphasis on Cyber markets.
• Deliver on customer requirements while achieving company business and financial objectives.
• Build and maintain strategic relationships with key customer personnel including decision makers, influencers, and end users.
• Provide oversight for projects and program teams within portfolio, ensuring tactical execution and strategic alignment.
• Ensure FTI capabilities are embedded into current and future programs and aligned with customer requirements.
• Responsible for Cyber business development efforts aligning with new and organic growth targets; leverage relationships, market insights, and understanding of mission priorities across the DoD.
• Participate in development of strategy to achieve short- and long-term business objectives.
• Monitor operational performance against budget; ensure budgets and schedules meet corporate requirements.
• Manage business requirements including performance metrics related to the customer’s mission.
• Manage and oversee implementation of policies and procedures to ensure efficiency and effectiveness.
• Ensure program teams have appropriate leadership and administrative structures in place to ensure the success of FTI Cyber operations.
• Direct the execution of a broad functional area, providing leadership for next level management to deliver customer mission requirements.
• Work on complex issues where analysis of situations or data requires an in-depth knowledge of the customer mission and FTI technology.
• Participate in corporate development of methods, techniques and evaluation criteria for projects, programs and people.
• Regularly interface with FTI executive team along with customer decision makers and influencers.

Director of Operations, Cybersecurity

Technical Program Manager

• Lead engineering performance across programs, managing schedule, resources, and deliverables in a matrixed engineering organization.
• Support Ops Program Managers by providing engineering resource forecasts, cost estimates, and technical inputs to inform budget planning, execution, and forecasting.
• Serve as a bridge between engineering functions, Ops Program Managers, and senior leadership, ensuring engineering execution aligns with customer and program objectives.
• Direct cross-functional engineering teams, overseeing technical status reports, review meetings, and schedule updates in coordination with Ops PMs.
• Manage engineering resource sharing across multiple programs, balancing priorities and workloads.
• Ensure engineering execution adheres to DoD acquisition processes, contractual requirements, and security standards.
• Foster collaboration across engineering functions, ensuring alignment of technical capabilities with program commitments and long-term workforce development.
• Provide engineering inputs for proposals, technical volumes, and capture efforts in partnership with Business Development.

Engineering Program Manager

QA Engineer

• This is a fully remote position, with a preference for candidates located near one of our FTI office locations.
• Writes about technical subjects for technical and nontechnical audiences.
• Provides Quality Assurance for all produced courseware materials.
• Adheres to and updates the in-house style guide.
• Creates infographics and screenshot markups.
• Writes, edits, and supports section updates User Experience (UX) and User Interface (UI) copy.
• Creates and builds out user assistance infrastructure, including how-to sections, FAQs, and Help sections.
• Updates, edits, and proofreads written materials such as product manuals, user manuals, how-to guides, and FAQs.
• Works closely with subject matter experts, engineers, developers, and the product marketing team.
• Monitors analytics on usage of online product training materials as well as those embedded within the product.
• Collects user data to determine areas of documentation that need revision and updating.
• Other related duties as necessary to support the mission.
• For this role, the annual compensation range for candidates in Colorado is ($63K-$83K)*.
• Note: Starting pay will be based on a number of factors and commensurate with qualifications & experience.
• FTI has a location based compensation structure; there may be a different range for candidates in other locations.

Technical Writer, Quality Assurance

Technical Writer

• Write about technical subjects for technical and nontechnical audiences.
• Ensures quality standards are adhered to for all produced courseware materials.
• Adheres to and updates the in-house style guide.
• Creates infographics and screenshot markups.
• Write, edit, and help sections update User Experience (UX) and User Interface (UI) copy.
• Creates and builds out user assistance infrastructure, including how-to sections, FAQs, and Help sections.
• Updates, edits, and proofreads written materials such as product manuals, user manuals, how-to guides, and FAQs.
• Works closely with subject matter experts, engineers, developers, and the product marketing team.
• Monitors analytics on usage of online product training materials as well as those embedded within the product.
• Collects user data to determine areas of documentation that need revision and updating.
• Other related duties as necessary to support the mission.

AI/ML Engineer

AI/ML Engineer

Software Development Manager

AI/ML Software Engineer

Distinguished AI/ML Engineering Lead

Distinguished Software Engineering Lead

Distinguished Technical Lead – AI/ML Engineering

Technical Software Engineering Lead

Technical AI/ML Engineering Lead

Technical Lead – Software Engineering

Transition Project Manager – USSOCOM PEO SOF Warrior

Senior Program Manager, Cybersecurity

Director of Operations, Cybersecurity

Engineering Program Manager

Technical Writer, Quality Assurance

Senior Technical Writer