We are looking for an Application Architect with strong AI engineering experience to design and build intelligent, agentic applications on Google Cloud Platform. This role sits within an application engineering team and focuses on architecting AI-enabled systems using the Google Agentic Development Kit (ADK), Gemini, and Vertex AI — integrated into enterprise Java/Python backends and cloud-native microservices. You are equally comfortable defining application architecture, designing agentic workflows, writing production-quality code, and translating AI capabilities into practical, mission-aligned solutions for federal stakeholders.
This role is remote with a preference for candidates located in Virginia, Maryland, or Washington DC.
Key Responsibilities
- Architect and implement AI-enabled application systems on GCP, with a focus on agentic workflows using Google ADK and Gemini Pro.
- Design human-in-the-loop agentic systems — defining agent roles, tool use, orchestration patterns, and guardrails for responsible, auditable AI behavior.
- Integrate AI/ML capabilities (Vertex AI, Gemini APIs, embeddings, RAG) into enterprise Java and Python applications via well-designed APIs and microservices.
- Lead application-layer design decisions: data flow, context management, session handling, and state management within agentic architectures.
- Collaborate with Data Engineers (BigQuery, Dataform) and Cloud Architects to ensure AI application solutions are grounded in reliable, governed data.
- Conduct architectural reviews, define coding standards for AI-integrated applications, and mentor engineers on agentic design patterns.
- Evaluate AI use cases for feasibility, risk, and mission fit; prototype and validate approaches before committing to full builds.
- Contribute to responsible AI practices: explainability, human oversight, auditability, and alignment with federal AI governance requirements.
- Stay current on the Google AI ecosystem (Gemini, ADK, Vertex AI Agent Builder) and inform team and leadership on strategic direction.
Required Qualifications
- 5–8 years of software or application engineering experience, with demonstrated focus on AI-integrated or intelligent application design.
- Hands-on experience with Google ADK or comparable agentic frameworks (LangGraph, LangChain, AutoGen); Google ADK strongly preferred.
- Proficiency in Python for AI/ML integration; Java experience a plus in application team context.
- Experience integrating LLM APIs (Gemini, OpenAI, or equivalent) into production application workflows.
- Solid understanding of agentic design patterns: tool use, multi-agent orchestration, retrieval-augmented generation (RAG), memory and context management.
- Experience with GCP services: Vertex AI, Cloud Run, GKE, BigQuery, Pub/Sub.
- Familiarity with REST API design, microservices architecture, and CI/CD pipelines (Harness preferred).
- Understanding of responsible AI principles: human-in-the-loop design, auditability, bias awareness, and federal AI governance.
Desired Qualifications
- Experience with Vertex AI Agent Builder, Gemini Code Assist, or Gemini CLI in a development workflow context.
- Familiarity with GCP-native data tooling: BigQuery, Dataform, Looker.
- Experience on federal or large-scale enterprise modernization programs.
- Exposure to FedRAMP/FISMA requirements and security-compliant AI deployment practices.
- Experience with DevSecOps pipelines (Checkmarx, Invicti, or equivalent SAST/DAST tooling).
Additional Information
- Successful completion of a client-required background investigation and suitability determination will be required.
- The ability to obtain and maintain a federal security clearance may be required based on engagement.
- Bachelor's degree in Computer Science, Software Engineering, or a related field; advanced degree a plus.
- Google Cloud Professional Cloud Architect or Professional Machine Learning Engineer certification preferred.
- Security+ desirable.
Apply on company website Washington, District of Columbia, United States Remote (City) Full-time
Northramp LLC is hiring an AI Engineer (Mid)
About company
Leverage agile, cloud, and AI technologies and services across the enterprise to improve and transform business and government.
Northramp is led by former Big 4 leaders who built a different kind of IT consultancy focused on delivering sustainable results through thoughtful implementation. The company addresses the real challenges organizations face, including flat or declining budgets for IT investments coupled with increasing demands for better outcomes and services.
Northramp does not rely on canned methodologies or junior resources. Instead, it delivers experienced professionals who have hands-on experience planning, building, and running IT solutions. The focus is on practical implementation that drives real benefits through rapid piloting and broader deployment, embedding continuous improvement into the client's organization.
The company serves both public and private sectors, offering expertise in digital transformation, IT service management, advisory services, and acquisition. With more than 30 years of collective experience, Northramp ensures technology investments deliver measurable benefits and returns.