TekWissen LLC logo

AI Solution Engineer

TekWissen LLC
  • Kingston, WA
  • $60.71
  • Instant Apply
2 days ago

Job Description

Overview:

TekWissen is a global workforce management provider headquartered in Ann Arbor, Michigan that offers strategic talent solutions to our clients world-wide. Our client is an American multinational information technology services and consulting company and is a leading provider of information technology, consulting, and business process outsourcing services, dedicated helping the world's leading companies build stronger businesses.
Job Title: AI Solution Engineer
Location: Washington, DC
Duration: 6 Months
Job Type: Temporary Assignment
Work Type: Hybrid
Job Summary
  • Translate how IMF economists work into a practical solution design and ensure the Cognitive Digital Twin produces results that are transparent, traceable, and defensible.
Key Responsibilities
  • Work directly with SPR economists to understand how survey analysis is performed today and identify which activities can be automated, which require analyst review, and where AI can assist decision-making.
  • Document business requirements, user journeys, and solution specifications that guide engineering and AI development teams.
  • Define and maintain role-based prompts, agent instructions, and approved interaction patterns.
  • Establish and enforce evidence standards so every output can be traced back to its source survey, reporting period, methodology, and underlying calculations.
  • Lead the design of the project's knowledge graph and semantic model, ensuring relationships between surveys, indicators, countries, methodologies, institutions, and analytical concepts are consistently represented and reusable across agents.
  • Define business use cases for graph-based reasoning, including cross-country comparisons, indicator lineage, concept discovery, policy-link analysis, and expert knowledge retrieval.
  • Own business validation criteria, benchmark scenarios, and "golden questions" used to determine whether the solution is ready to progress beyond prototyping.
  • Govern the lifecycle of agent assets, including instructions, skills, knowledge sources, evaluation criteria, and governance controls.
  • Review AI-generated code, configurations, and solution artifacts as the accountable business and architecture reviewer.
  • Prepare architecture, security, governance, and review materials for EARB and other approval bodies.
  • Partner with data architects and engineers to ensure the knowledge graph, retrieval mechanisms, and analytical models align with business expectations and governance requirements.
Required Experience
  • 3+ years delivering data, analytics, or AI solutions.
  • 2+ years working with large language models, AI assistants, or agent-based systems.
  • Experience translating business processes into functional and technical specifications.
  • Demonstrated ability to work with researchers, economists, analysts, or other subject matter experts.
  • Strong facilitation and stakeholder engagement skills.
  • Ability to work onsite in Washington, DC using IMF-managed technology and development environments.
Required Technologies
  • Python, with the ability to review and validate data-processing and AI-integration code.
  • Azure OpenAI and Retrieval-Augmented Generation (RAG) architectures, including grounding, retrieval strategies, and Model Context Protocol (MCP).
  • Azure AI Foundry evaluation capabilities and model assessment practices.
  • GitHub Copilot, agent specifications, instruction libraries, and AI-assisted development practices.
  • Claude Code and Claude Skills, including authoring and governance of instructions, skills, and behavioral guardrails.
  • Microsoft Fabric, OneLake, and Power BI, including architectural decision-making for enterprise data platforms.
  • Knowledge graph technologies, semantic modeling, ontology design, metadata management, and graph-based retrieval patterns.
  • Microsoft Entra ID and role-based access control.
  • Microsoft Purview or equivalent solutions for cataloging, lineage, governance, and auditability.
Preferred Skills
  • Azure API Management and Azure Monitor/Application Insights.
  • Responsible AI frameworks, content safety controls, and red-team testing practices.
  • Experience designing enterprise knowledge graphs and semantic layers for search, discovery, recommendation, and AI grounding.
  • Experience with Google Cloud AI services, including Vertex AI, Gemini, Agent Development Kit (ADK), and BigQuery, demonstrating cross-platform understanding of enterprise AI architectures.
Years of Experience
  • 10.00 Years of Experience.
TekWissen Group is an equal opportunity employer supporting workforce diversity.

Numbers & Facts

LocationKingston, WA
IndustryComputer/IT Services
Salary$60.71
Company Size100 to 499 employees
Year Founded2009
Websitehttp://www.tekwissen.com/

About Company

WE THE TEKWISSEN PEOPLE

TekWissen offers you a broader portfolio of services, industry-leading solutions, and the meaningful innovations that give you greater flexibility and speed to respond to market dynamics, reduced costs and risk to improve enterprise performance, and increased productivity to enable growth.

To keep pace with global market demands, TekWissen keeps its finger on the pulse of change. Our organized approach to guiding a project from its inception to closure. Managing projects is becoming more and more important as we enter the digital era. To cope with the pace that this transition demands, a method is required to manage projects so they can yield quality work, while incorporating efficient use of time and resources.

Project involves identifying which quality standards are relevant to the project and determining how to satisfy them.

It is important to perform quality planning during the Planning Process and should be done alongside the other project planning processes because changes in the quality will likely require changes in the other planning processes, or the desired product quality may require a detailed risk analysis of an identified problem. It is important to remember that quality should be planned, designed, then built in, not added on after the fact.

Capabilities and accomplishments in one TekWissen business enhance the opportunity for success in the others. Put simply, TekWissen's unique combination of attributes promotes success.



Skills

  • Analysis Skillsunmatched
  • Artificial Intelligence (AI)unmatched
  • Artificial Intelligence (AI) Programming Languagesunmatched
  • Benchmarkingunmatched
  • Business Architectureunmatched
  • Business Caseunmatched
  • Business Process Outsourcingunmatched
  • Business Processesunmatched
  • Business Servicesunmatched
  • Cataloguingunmatched
  • Cloud Computingunmatched
  • Consultingunmatched
  • Data Analysisunmatched
  • Data Qualityunmatched
  • Enterprise Architectureunmatched
  • GitHubunmatched
  • Information Retrievalunmatched
  • Information Technology & Information Systemsunmatched
  • Information Technology Consultingunmatched
  • Metadataunmatched
  • Microsoft Product Familyunmatched
  • Microsoft Windows Azureunmatched
  • Modeling Languagesunmatched
  • Multiplatform/Cross-Platformunmatched
  • Ontologyunmatched
  • Policy Analysisunmatched
  • Prototypingunmatched
  • Python Programming/Scripting Languageunmatched
  • Security Architectureunmatched
  • Semantic Searchunmatched
  • Technical Leadershipunmatched
  • Use Casesunmatched
  • Workforce Managementunmatched

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