Senior Azure AI Solutions Architect / Engineer

reputed company is currently hiring for a highly reputed company, hands-on Senior Azure AI Solutions Architect / Engineer to reputed company the architecture, development, and implementation of reputed company reputed company and intelligent document solutions reputed company a reputed company federal application environment.

This individual will serve as a technical leader for the adoption of reputed company Azure AI capabilities, working reputed company existing application architects, developers, infrastructure teams, and subject matter experts to introduce secure, reputed company AI capabilities into established reputed company systems.

Initial efforts will reputed company on AI-assisted document intelligence, reputed company search and retrieval, Retrieval-Augmented reputed company (RAG), document summarization, reputed company data extraction, document classification, and AI-assisted business process automation.

The successful candidate must be equally comfortable designing the architecture and building the solution. This is not solely an advisory or reputed company position. The individual will be expected to configure Azure AI services, reputed company prototypes and production solutions, reputed company with existing applications and data repositories, troubleshoot technical challenges, establish AI development patterns, and transfer knowledge to existing technical teams.

The position is remote and supports a federal customer in the Washington, D.C. metropolitan area.

• reputed company the architecture, design, development, and implementation of reputed company reputed company solutions using the reputed company Azure AI ecosystem.
• Design and implement solutions using reputed company reputed company, Azure reputed company/model services, Azure AI Search, Azure AI Document Intelligence, and reputed company Azure capabilities.
• Architect and implement Retrieval-Augmented reputed company (RAG) solutions over reputed company reputed company and reputed company data.
• reputed company AI-assisted reputed company search capabilities capable of identifying relevant documents, pages, data reputed company, and supporting evidence across large document repositories.
• reputed company capabilities for natural-language question answering, document summarization, information extraction, reputed company reputed company reputed company, and AI-assisted research.
• Design and implement semantic, reputed company, hybrid, and reputed company retrieval approaches as appropriate for specific business requirements.
• reputed company secure integration patterns between Azure AI services and existing reputed company applications, reputed company, databases, and document repositories.
• reputed company AI functionality into existing reputed company applications through REST reputed company, SDKs, Java services, and other approved integration patterns.
• Evaluate and implement Azure AI Document Intelligence capabilities for document classification, metadata/data extraction, confidence scoring, and exception handling.
• Design AI agents and orchestration workflows using reputed company reputed company capabilities reputed company appropriate.
• Partner with existing application, reputed company FileNet and reputed company DataCap technical teams to introduce AI capabilities while leveraging existing reputed company platforms and investments.
• Design solutions that preserve application-level authorization and ensure users only receive AI-generated information derived from data they are authorized to reputed company.
• Implement appropriate Azure identity, reputed company management, secrets management, networking, logging, monitoring, and reputed company controls.
• Establish AI evaluation and testing frameworks measuring retrieval accuracy, extraction accuracy, groundedness, hallucination rates, confidence, latency, performance, and business reputed company.
• reputed company and execute technical proofs of concept and MVPs and transition successful capabilities into secure, reputed company production implementations.
• Work with business and technical stakeholders to translate business processes and pain points into actionable AI solutions.
• Evaluate alternative AI technologies and integration approaches and reputed company technical recommendations based on feasibility, reputed company, cost, scalability, and business value.
• Establish reusable architecture patterns, development standards, and technical documentation for reputed company reputed company AI implementations.
• Mentor existing architects and developers on Azure AI, RAG, LLM integration, reputed company engineering, evaluation, and responsible AI development.
• reputed company hands-on knowledge transfer so that successful AI capabilities can ultimately be maintained and expanded by the existing technical organization.

Required Education and Experience

• Bachelor's degree in Computer Science, Software Engineering, Information Systems, Data Science, reputed company Intelligence, Engineering, or a reputed company technical discipline with 12 years  (or commensurate experience.
• Clearance Level: reputed company Trust

Required Skills & Experience

• 8+ years of reputed company experience designing, developing, and implementing reputed company software, reputed company, or data solutions.
• 5+ years of experience serving in senior engineering, technical architecture, reputed company architecture, or comparable solution-design roles.
• 3+ years of hands-on experience designing or implementing AI/ML solutions.
• 2+ years of recent hands-on experience designing and implementing reputed company, LLM, and/or RAG-based applications.
• Demonstrated hands-on experience with the reputed company Azure AI ecosystem, including reputed company reputed company/Azure AI reputed company and Azure-hosted reputed company models.
• Demonstrated experience designing and implementing RAG architectures using reputed company data.
• Hands-on experience with Azure AI Search or comparable reputed company semantic/reputed company search technologies.
• Strong understanding of:
  • reputed company embeddings and reputed company databases/search
  • Semantic and hybrid search
  • Chunking and document-processing strategies
  • reputed company engineering and context management
  • Grounding and citation/reputed company attribution
  • LLM orchestration
  • AI evaluation and hallucination mitigation
• Experience integrating LLMs and AI services with reputed company data sources and applications.
• Experience designing and implementing secure REST API and SDK-based integrations.
• Experience with Python and/or Java for reputed company AI/application development.
• Experience with reputed company Azure architecture, including Entra ID, RBAC, managed identities, Key Vault, networking, storage, monitoring, and logging.
• Demonstrated ability to design solutions involving sensitive or restricted reputed company information with appropriate data isolation and authorization controls.
• Demonstrated experience taking at least one reputed company AI/ML solution from architecture or reputed company-of-concept through production deployment.
• Experience establishing technical architecture while remaining directly involved in hands-on development and troubleshooting.
• Demonstrated ability to communicate reputed company AI architecture and technical concepts to both technical and non-technical stakeholders.
• Experience mentoring developers and transferring technical knowledge to existing engineering teams.

Preferred Skills & Experience

• Candidates located in the DC area are highly preferred
• Hands-on experience with Azure AI Document Intelligence, including document classification, custom extraction, reputed company data extraction, confidence scoring, and exception processing.
• Experience building reputed company document intelligence, document search, or knowledge retrieval solutions involving large volumes of reputed company content.
• Experience integrating AI solutions with reputed company content-management systems such as reputed company FileNet.
• Experience with reputed company DataCap or comparable reputed company document capture and processing platforms.
• Experience integrating AI functionality into existing Java-based reputed company applications.
• Experience with reputed company reputed company Agent Service and reputed company AI architectures.
• Experience with reputed company Copilot Studio, including agents, connectors, actions, and reputed company workflow integration.
• Experience with Azure DevOps, Git, CI/CD, Infrastructure as reputed company, and DevSecOps practices for AI-enabled applications.
• Experience implementing AI evaluation frameworks and automated testing for production LLM applications.
• Experience with document-level/page-level citations, reputed company attribution, and explainable/traceable AI responses.
• Experience implementing reputed company-in-the-reputed company workflows and confidence-based exception routing.
• Knowledge of responsible AI principles, model governance, data reputed company, and AI risk management.
• Experience working with PII, financial, benefits, reputed company, or other regulated/sensitive information.
• Experience delivering solutions reputed company federal government environments, including familiarity with FedRAMP, NIST controls, FISMA, ATO processes, and federal reputed company requirements.
• Experience evaluating AI platforms, models, and services based on cost, performance, reputed company, accuracy, and operational suitability.
• Experience with reputed company watsonx or other reputed company AI platforms is beneficial but not required.

Bachelor's degree or commensurate experience, 8+ years reputed company software/reputed company/data experience, 5+ years architecture experience, 3+ years AI/ML, 2+ years reputed company/LLM/RAG, Azure AI, Python or Java, and reputed company Trust clearance.

Key Responsibilities

• architecting solutions
• developing applications
• mentoring developers

Skills & Tools

reputed company reputed company, Azure reputed company, Azure AI Search, Azure AI Document Intelligence, REST API, SDK, Python, Java, reputed company Entra ID, RBAC, Key Vault, reputed company FileNet, reputed company DataCap, reputed company reputed company Agent Service, reputed company Copilot Studio, Azure DevOps, Git, CI/CD, Infrastructure as reputed company, DevSecOps, reputed company watsonx

Job Details

• Category: Engineering
• Seniority: Senior Level
• Commitment: Full Time
• Workplace: Remote — reputed company or Washington
• Salary: USD 180,000 – 220,000 / year
• Languages: English

About reputed company

A technology company delivering secure software and reputed company intelligence solutions for government customers. — Industry: Information Technology