TekWissen LLC logo

Agentic AI & Intelligent Automation

TekWissen LLC
  • Aliso Viejo, CA
  • Remote
  • $72.38
  • Quick Apply
1 day 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 provider of digital technology and transformation, information technology and services
Position: Agentic AI & Intelligent Automation
Location: Remote
Duration: 6 Months
Job Type: Temporary Assignment
Work Type: Remote
Job Description:
Role Summary
  • The Software Solution Architect II will lead the architecture, design, and delivery of enterprise-scale Agentic AI and Intelligent Automation solutions.
  • This role is responsible for defining end-to-end architecture across AI services, agent orchestration, workflows, document processing, integrations, data platforms, security, observability, DevOps, and cloud-native deployment.
  • The architect will work closely with business and technology stakeholders to translate requirements into scalable, secure, and production-ready solutions.
Key Responsibilities
  • Own end-to-end architecture covering AI services, agent orchestration, workflows, document processing, integrations, data platforms, user interfaces, security, observability, DevOps, and deployments.
  • Translate business and non-functional requirements into solution architectures, data flows, deployment models, integrations, and technical standards.
  • Design and lead hands-on development of tool-using agents using LangGraph or equivalent agent orchestration frameworks.
  • Define agent roles, tools, memory, state management, routing, retries, fallback mechanisms, and workflow termination strategies.
  • Architect multi-agent systems for search, extraction, classification, conversational AI, recommendations, decision support, and workflow automation.
  • Design human-in-the-loop validation, approval workflows, escalations, governance controls, AI guardrails, confidence scoring, and responsible AI patterns.
  • Architect RAG solutions, semantic/vector search, prompt engineering frameworks, structured outputs, AI evaluation methodologies, and OCR/IDP pipelines.
  • Design API-first and event-driven integrations with enterprise applications, document repositories, email systems, external platforms, knowledge bases, and legacy systems.
  • Guide Azure cloud-native solution development using Python, Java/Spring Boot, React, Azure AI services, storage, identity, monitoring, and CI/CD pipelines.
  • Lead architecture reviews, code reviews, technical decision-making, risk assessments, production readiness, observability strategies, and knowledge transfer activities.
Required Qualifications
  • Bachelor's or Master's degree in Computer Science, Engineering, Information Technology, Data Science, or a related field.
  • 10+ years of experience in Software Engineering, Solution Architecture, Cloud Architecture, Data Engineering, AI Engineering, Integration, or Enterprise Delivery.
  • 3+ years of experience designing and delivering AI, Machine Learning, Generative AI, Intelligent Automation, or Advanced Analytics solutions.
  • Proven hands-on experience developing agentic AI solutions with tool-using agents, stateful orchestration, approvals, exception management, and recovery workflows.
Strong expertise in:
  • Large Language Models (LLMs)
  • Retrieval-Augmented Generation (RAG)
  • Prompt Engineering
  • Structured Outputs
  • Semantic & Vector Search
  • AI Evaluation Frameworks
  • AI Guardrails & Responsible AI
  • Experience architecting OCR/IDP, Conversational AI, Email Intelligence, Classification Engines, Recommendation Systems, and Workflow Automation solutions.
  • Strong knowledge of APIs, Microservices, Event-Driven Architecture, Security, Data Platforms, Observability, and DevOps.
  • Experience with Azure OpenAI, Azure AI Search, Azure AI Services, Azure Storage, Azure Identity, Azure Monitoring, Python, and cloud-native application development.
  • Proven ability to lead distributed engineering teams and collaborate effectively with business and technical stakeholders
TekWissen Group is an equal opportunity employer supporting workforce diversity.

Numbers & Facts

LocationAliso Viejo, CA (
Remote
)
IndustryComputer/IT Services
Salary$72.38
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

  • Application Programming Interface (API)unmatched
  • Architectural Servicesunmatched
  • Artificial Intelligence (AI)unmatched
  • Automationunmatched
  • Cloud Architectureunmatched
  • Cloud Computingunmatched
  • Code Reviewsunmatched
  • Computer Scienceunmatched
  • Continuous Deployment/Deliveryunmatched
  • Continuous Integrationunmatched
  • Data Scienceunmatched
  • Decision Supportunmatched
  • DevOpsunmatched
  • Diversityunmatched
  • Email Technologyunmatched
  • Enterprise Application Integration (EAI)unmatched
  • Information Technology & Information Systemsunmatched
  • Information/Data Security (InfoSec)unmatched
  • Javaunmatched
  • Knowledge Baseunmatched
  • Knowledge Transferunmatched
  • Leadershipunmatched
  • Machine Learningunmatched
  • Memory Managementunmatched
  • Microservicesunmatched
  • Microsoft Windows Azureunmatched
  • Modeling Languagesunmatched
  • Python Programming/Scripting Languageunmatched
  • React.jsunmatched
  • Requirements Managementunmatched
  • Risk Analysisunmatched
  • Search Agentunmatched
  • Security Architectureunmatched
  • Security Infrastructureunmatched
  • Semantic Searchunmatched
  • Software Architectureunmatched
  • Software Engineeringunmatched
  • Team Lead/Managerunmatched
  • User Interface/Experience (UI/UX)unmatched
  • Workforce Managementunmatched

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