Solutions Engineer
Experian
CloudMicroservices
AI Solution Architect
Citizant
full-time
Posted on:
Location Type: Remote
Location: Remote • Virginia • 🇺🇸 United States
Visit company websiteSalary
💰 $170,000 - $185,000 per year
Job Level
SeniorLead
Tech Stack
AzureCloudPython
About the role
- Serve as the technical and architecture lead on client engagements focused on implementing agentic AI-based solutions.
- Architect and develop agentic AI solutions using Azure AI services and third-party platforms via xAI’s API.
- Design end-to-end technical architectures that leverage Azure services, large language models (LLMs), agent frameworks, and secure data pipelines.
- Oversee end-to-end implementation of agentic AI solutions, including model training, integration, and testing within Azure environments.
- Ensure compliance with industry standards (e.g., GDPR, HIPAA) and Azure security best practices.
- Monitor AI solution performance using Azure monitoring tools.
- Work with product owners, project managers, and engineering teams to translate business requirements into actionable solution architectures.
- Define system interfaces, APIs, microservice architectures, and orchestration strategies for intelligent agent workflows.
- Ensure technical deliverables meet standards for scalability, security, and maintainability.
- Lead architectural reviews, participate in sprint planning, and ensure alignment with DevSecOps and MLOps best practices.
- Collaborate with stakeholders to evaluate new tools, models, and AI patterns that align with customer goals.
- Prepare technical documentation, diagrams, and architecture artifacts for internal and external stakeholders.
- Stay current with emerging technologies in AI, LLMs, and cloud computing.
- Contribute to internal knowledge sharing and training programs to upskill team members.
Requirements
- 7+ years of experience in software engineering and/or architecture roles
- 3+ years of experience delivering solutions on Microsoft Azure
- Proven experience in architecting and delivering agent-based AI systems, LLM-integrated applications, or intelligent automation platforms.
- Familiarity with multi-agent orchestration frameworks.
- Strong understanding of prompt engineering and retrieval-augmented generation (RAG).
- Proficiency in programming languages such as Python, R, or C# for AI model development.
- Experience with enterprise integration patterns, RESTful API design, and event-driven architectures.
- Familiarity with security, compliance, and identity/access management in Azure environments.
- Strong communication and presentation skills, with experience interfacing directly with both technical resources and executive stakeholders.
- Customer-centric mindset with a focus on delivering measurable business value.
- Experience delivering software projects under Agile/Scrum methodologies.
Benefits
- excellent compensation and benefits
- personal and professional development
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
agentic AI solutionsAzure AI serviceslarge language models (LLMs)model trainingintegrationtestingRESTful API designevent-driven architecturesprompt engineeringretrieval-augmented generation (RAG)
Soft skills
strong communication skillspresentation skillscustomer-centric mindsetcollaborationleadershipknowledge sharingteam trainingstakeholder engagementproblem-solvingadaptability
