Invisible Technologies aims to solve the problem of making AI work effectively in enterprise environments, particularly in the U.S. Public Sector, by structuring messy data, automating workflows, and integrating human expertise. The role is focused on delivering high-impact AI solutions to clients in defense, intelligence, and other regulated industries.
Requirements
- Active U.S. Department of War Secret Clearance or higher
- Experience in defense, intelligence, or other regulated industries (e.g., healthcare, finance) using AI/ML
- 5+ years of software engineering experience, including significant time spent building data, ML, or backend systems
- Deep proficiency in Python with hands-on experience using Hugging Face, LangChain, OpenAI, Pinecone, and related ecosystems
- Skilled in full-stack and API-based deployment patterns, including Docker, FastAPI, Kubernetes, and cloud environments (GCP, AWS)
- Experienced with workflow orchestration libraries, pub/sub systems (Kafka), and schema governance
- Expertise in data governance and operations, including Unity Catalog and policy management, cluster/job orchestration, data contracts and quality enforcement, Delta/ETL pipelines, and replay processes
Responsibilities
- Partner with delivery and executive stakeholders to scope, design, and lead implementation of AI-driven solutions
- Identify transformational opportunities in messy, ambiguous workflows and turn them into repeatable systems
- Lead architecture design and trade-off discussions across performance, scalability, cost, and reliability
- Own projects from first discovery call through full deployment — including client-facing delivery, internal coordination, and post-launch iteration
- Build shared infrastructure, reusable components, and internal playbooks to level-up the team
- Coach and mentor mid-level engineers and help shape the culture of forward-deployed AI engineering at Invisible
- Be willing to be on-call for our customers when situations arise
Other
- Strong engineering background demonstrated by a Bachelor’s degree in Data Science, Computer Science and related fields OR equivalent professional experience
- Ability to travel roughly 25–50 % of the time, sometimes short-notice trips—primarily across North America with occasional international roll-outs—to work directly on-site with clients
- Excellent communication and client-facing skills; you’ve led conversations with technical and non-technical stakeholders alike
- Proven experience owning projects from scoping through deployment in ambiguous, high-stakes environments
