Sovereign AI Deployment Engineer

Capitol AI; Washington (District of Columbia); Hybrid; USD 81,710 - 108,947; Full time

Benefits offered by this job

Hybrid working

Collaboration with founding team

Influence over market strategies

Job summary

Capitol AI is looking for a Forward Deployed Engineer to manage AI deployments in critical environments, particularly across UK government and financial services. Strong candidates will possess 3-7 years of software or data engineering experience, proficiency in Python and cloud technologies, and a collaborative spirit to interface with enterprise clients. The role offers flexible working arrangements while requiring on-site client engagement. If you have a background in sensitive data environments and are keen to influence AI implementation standards, we'd love to hear from you.

Qualifications

• 3 to 7+ years of experience in software engineering, data engineering, or applied ML, ideally in a customer-facing role.
• Proficiency in Python, TypeScript, or equivalent; hands-on with APIs and cloud infrastructure.
• Direct experience deploying AI technologies including LLMs and RAG architectures.

Responsibilities

• Own the full deployment lifecycle from technical integration to ongoing production support.
• Partner with clients to understand data landscape and translate requirements into deployments.
• Build data pipelines and custom integrations for proprietary data flow.

Skills

Software engineering

Data engineering

Applied ML

Python

TypeScript

APIs

Cloud infrastructure

Data processing pipelines

Tools

AWS

GCP

Azure

Job description

Capitol AI is looking for a Forward Deployed Engineer to manage AI deployments in critical environments, particularly across UK government and financial services. Strong candidates will possess 3-7 years of software or data engineering experience, proficiency in Python and cloud technologies, and a collaborative spirit to interface with enterprise clients. The role offers flexible working arrangements while requiring on-site client engagement. If you have a background in sensitive data environments and are keen to influence AI implementation standards, we'd love to hear from you.