AI Engineer – Rapid Innovation Team Help Build the Future of AI for Mission-Critical Organizations TechTrend is looking for a passionate AI Engineer to join our Rapid Innovation Team—a highly collaborative group focused on designing, prototyping, and delivering next-generation AI solutions for enterprise and U.S. Government customers. This isn't a traditional software engineering role. You'll have the opportunity to explore emerging AI technologies, build innovative prototypes, and transform ideas into production-ready solutions that solve real-world business challenges. Working alongside cloud architects, software engineers, and AI specialists, you'll help shape the future of AI across multiple customer environments. If you're excited about Generative AI, LLMs, AI agents, cloud-native machine learning, and rapid experimentation, we'd love to talk. ________________________________________ Before You Apply • U.S. Citizenship is required for this position due to federal customer
requirements
. • This position is based in Reston, VA and follows a hybrid work schedule.
What You'll Do
Design, develop, and deploy innovative AI solutions using Google Cloud Platform (GCP), with a focus on Vertex AI, Gemini, Document AI, BigQuery ML, and other cloud-native AI services.
Lead rapid prototyping efforts to evaluate emerging AI technologies and demonstrate innovative solutions that deliver measurable business value.
Architect scalable AI and machine learning solutions from concept through production, including data pipelines, model training, deployment, monitoring, and continuous improvement.
Build Generative AI applications using LLMs, Retrieval-Augmented Generation (RAG), vector databases, embeddings, prompt engineering, and modern orchestration frameworks.
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Collaborate with business stakeholders, product owners, and engineering teams to translate complex business challenges into practical AI solutions.
Develop intelligent copilots, workflow automation, and AI-powered decision support tools for mission-critical customer environments.
Implement MLOps and DevOps best practices using Infrastructure as Code (IaC), Docker, Kubernetes/GKE, and automated CI/CD pipelines.
Design secure, scalable, and responsible AI solutions that meet government security and compliance
requirements
. • Mentor fellow engineers, contribute to architectural decisions, and help establish AI best practices across the organization. • Stay current with the rapidly evolving AI landscape and help evaluate new tools, frameworks, and technologies that can benefit our customers. ________________________________________ Technologies You'll Work With • Google Cloud Platform (Vertex AI, Gemini, BigQuery ML, Document AI) • Python • LangChain & LangGraph • TensorFlow, PyTorch, scikit-learn • Vector Databases & Retrieval-Augmented Generation (RAG) • Docker & Kubernetes (GKE) • REST APIs & gRPC • Git, CI/CD, Infrastructure as Code • Azure OpenAI & Azure AI Services (preferred) • Modern Generative AI and Agentic AI frameworks ________________________________________
Required Qualifications
Bachelor's degree in Computer Science, Software Engineering, Artificial Intelligence, Data Science, or a related technical discipline.
5+ years of software engineering experience with at least 3 years designing and delivering AI or machine learning solutions.
Strong Python development experience and familiarity with AI/ML frameworks such as TensorFlow, PyTorch, scikit-learn, LangChain, or similar technologies.
Hands-on experience building AI solutions on Google Cloud Platform, including Vertex AI and related GCP AI services.
Experience designing scalable machine learning systems from experimentation through production deployment.
Experience with containerization and cloud-native deployment using Docker and Kubernetes.
Familiarity with vector databases, embeddings, prompt engineering, and Retrieval-Augmented Generation (RAG).
Experience developing APIs and integrating AI services into enterprise applications.
Strong communication skills with the ability to collaborate across technical and business teams.
Demonstrated technical leadership through architecture ownership, mentoring, or leading engineering initiatives. ________________________________________
Preferred Qualifications
Google Cloud Professional Machine Learning Engineer or Professional Cloud Architect certification.
Experience with Azure OpenAI Service, Azure AI Services, or other multi-cloud AI platforms.
Experience building AI agents, copilots, or conversational AI applications.
Familiarity with LangGraph, Model Context Protocol (MCP), or other emerging AI orchestration frameworks.
Experience with AI governance, responsible AI, model explainability, and AI security.
Experience supporting federal government customers. ________________________________________ Why Join TechTrend? At TechTrend, innovation isn't confined to a single project—it's part of our culture. Our Rapid Innovation Team is encouraged to experiment with emerging technologies, build new capabilities, and help shape the future of AI across multiple customer environments. You'll have opportunities to:
Work with the latest AI technologies before they become mainstream.
Build solutions that solve meaningful, mission-critical challenges.
Influence technical strategy and architecture.
Collaborate with experienced cloud, AI, and software engineering professionals.
Continue growing through technical training, certifications, mentorship, and diverse projects. ________________________________________ Work Details
Complimentary Fitness Center Access at Headquarters
Professional Development & Training Opportunities ________________________________________ About TechTrend Founded in 2003, TechTrend is an award-winning technology consulting firm delivering cloud, AI, cybersecurity, digital transformation, and enterprise IT solutions to federal and commercial customers. We help organizations solve complex challenges by combining technical excellence with a culture of innovation, collaboration, and continuous learning. Join us and help shape what's next in artificial intelligence.