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Invisible Technologies · 1 week ago

Senior Software Engineer, Forward Deployed (U.S. Public Sector)

DC-Baltimore Area

Full-time

Hybrid

Senior Level

$164K/yr - $240K/yr

5+ years exp

Invisible Technologies is an AI company that focuses on structuring messy data and automating digital workflows. The Senior Forward Deployed Engineer will lead high-impact, AI-powered solutions for the U.S. Public Sector, driving strategy, architecture, and execution of end-to-end systems while mentoring others and working directly with clients.

Data Center AutomationInformation TechnologyProductivity ToolsProject Management

No H1B

Security Clearance Required

U.S. Citizen Only

Responsibilities

Scope, design, and lead implementation of AI-driven solutions in partnership with delivery teams and executive stakeholders

Translate ambiguous workflows and business needs into repeatable systems and production-ready technical architectures

Lead architecture design and trade-off discussions across performance, scalability, cost, and reliability

Build usable systems from messy data and incomplete or evolving requirements

Apply AI/ML solutions in highly regulated environments (e.g., defense, intelligence, healthcare, finance)

Own projects end-to-end—from initial discovery and scoping through implementation, deployment, and post-launch iteration

Build shared infrastructure, reusable components, and internal playbooks to improve delivery consistency and team velocity

Mentor mid-level engineers and contribute to the development of forward-deployed AI engineering practices at Invisible

Qualification

PythonML/LLM frameworksAPI-based servicesCloud platformsData-intensive systemsWorkflow orchestrationRequirements gatheringTechnical specificationsMentoringCommunication

Required

Active U.S. Department of Defense Secret clearance or higher

5+ years of software engineering experience, including work on data-intensive, ML, or backend systems

Python & ML/LLM frameworks: Hands-on experience with Python and modern ML/LLM tooling (e.g., Hugging Face, LangChain, OpenAI, Pinecone)

Deployment & infrastructure: Experience building and operating API-based services using Docker, FastAPI, Kubernetes, and major cloud platforms (AWS, GCP)

Platform & data management: Familiarity with workflow orchestration, pub/sub systems (e.g., Kafka), schema governance, data contracts, Unity Catalog, Delta/ETL pipelines, and replay processes

Experience leading requirements-gathering activities and translating stakeholder input into technical specifications

Ability to travel 25–50% of the time