Senior AI Agentic Engineer — Remote (US)

Archer; Springfield (VA); Remote; USD 149,000 - 201,000; Full time

Benefits offered by this job

Medical/Dental/Vision

401k + Stock Options

Home Office Budget

Paid Holidays

Job summary

Archer, in partnership with Defense Unicorns, seeks a Senior Platform Engineer to embed with a government team and partners to build an AI-powered engineering ecosystem in secure environments. You will design, implement, and operate AI agents and agentic workflows across enterprise data, APIs, and tools.

The role emphasizes production readiness, CI/CD integration, DevSecOps, and collaboration with platform engineers and vendors to deliver repeatable, observable, and safe AI capabilities in

Qualifications

• Active Top Secret clearance.
• Hands-on experience building applications or systems using large language models and generative AI.
• Experience designing and implementing AI agents or agentic workflows.
• Strong programming experience in Python and/or another modern programming language.
• Experience integrating AI systems with APIs, enterprise applications, databases, and external tools.
• Experience with one or more agent frameworks or orchestration approaches.
• Working knowledge of RAG, embeddings, vector databases, tool/function calling, structured outputs, and prompt engineering.
• Experience developing software in a Git-based, automated CI/CD environment.
• Ability to rapidly prototype, test, troubleshoot, and iterate in ambiguous environments.
• Strong understanding of software engineering fundamentals, including testing, version control, APIs, debugging, and system design.
• Ability to work effectively alongside platform engineers, government personnel, and multiple technology vendors.

Responsibilities

• Design, build, and integrate AI agents and multi‑agent workflows using modern LLM and agentic technologies.
• Develop agent capabilities that interact with enterprise applications, APIs, data sources, developer tools, and mission systems.
• Integrate models, agents, tools, and enterprise data into secure workflows that can be deployed in controlled and classified environments.
• Work with LLMs, RAG, embeddings, vector databases, tool/function calling, structured outputs, MCP, and related technologies.
• Develop mechanisms for agents to securely discover, access, reason over, and act upon approved enterprise data and services.
• Prototype and rapidly evaluate emerging models, agent frameworks, and AI capabilities to determine where they can create measurable mission or engineering value.
• Develop evaluation and testing frameworks for agent accuracy, reliability, safety, latency, cost, and task completion.
• Implement guardrails and policy controls governing agent behavior, tool access, data access, and human approval points.
• Integrate agentic capabilities with CI/CD and DevSecOps workflows to support repeatable development, testing, deployment, and lifecycle management.
• Collaborate with platform engineers to operationalize AI workloads within Kubernetes/OpenShift environments.
• Work with commercial AI and technology partners to integrate their capabilities into the broader engineering ecosystem.
• Troubleshoot issues across models, agent frameworks, APIs, data sources, networking, identity, and infrastructure.
• Develop reusable patterns for agent deployment, configuration, observability, evaluation, and lifecycle management.
• Document architectures, integration patterns, agent specifications, evaluation results, and operational procedures.
• Identify recurring AI engineering challenges that can be standardized, automated, or productized into reusable capabilities.
• Stay current with rapidly evolving agentic AI technologies and assess their applicability to secure government environments.

Skills

LLM & AI apps

Agent frameworks

Python

APIs integration

CI/CD

DevSecOps

Kubernetes/OpenShift

Security & compliance

Tools

GitLab

Jira

Confluence

Xacta

Job description

Archer, in partnership with Defense Unicorns, seeks a Senior Platform Engineer to embed with a government team and partners to build an AI-powered engineering ecosystem in secure environments. You will design, implement, and operate AI agents and agentic workflows across enterprise data, APIs, and tools.

The role emphasizes production readiness, CI/CD integration, DevSecOps, and collaboration with platform engineers and vendors to deliver repeatable, observable, and safe AI capabilities in