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Invisible Technologies · 2 weeks ago

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

Washington DC–Baltimore - Hybrid

Full-time

Hybrid

Senior Level

5+ years exp

Invisible Technologies is an AI company that specializes in structuring messy data and automating digital workflows. As a Senior Forward Deployed Engineer, you will lead high-impact AI-powered solutions, drive strategy and architecture, and work directly with clients to transform their workflows into scalable systems.

Data Center AutomationInformation TechnologyProductivity ToolsProject Management

No H1B

Security Clearance Required

U.S. Citizen Only

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

Qualification

PythonAI/ML FrameworksDeployment & InfrastructureData ManagementSystem DesignCommunication SkillsProject OwnershipClient EngagementMentoring

Required

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

Strong engineering background demonstrated by a Bachelor's degree in Data Science, Computer Science and related fields OR equivalent professional experience

5+ years of software engineering experience, including significant time spent building data, ML, or backend systems

Python & ML/LLM Frameworks: Deep proficiency in Python with hands-on experience using Hugging Face, LangChain, OpenAI, Pinecone, and related ecosystems

Deployment & Infrastructure: Skilled in full-stack and API-based deployment patterns, including Docker, FastAPI, Kubernetes, and cloud environments (GCP, AWS)

Platform Orchestration: Experienced with workflow orchestration libraries, pub/sub systems (Kafka), and schema governance

Data Management: 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

Strong product and system design instincts — you understand business needs and how to translate them into technical architecture

Experience building usable systems from messy data and ambiguous requirements

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

Be willing to be on-call for our customers when situations arise

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