AI Lead Engineer / AI Architect (Hands-on)

TekWissen LLC

Irvine, CA

JOB DETAILS
SALARY
$72.38–$72.38
SKILLS
Amazon Web Services (AWS), Application Programming Interface (API), Architectural Services, Artificial Intelligence (AI), Automation, Automation Systems, Cloud Architecture, Cloud Computing, Continuous Deployment/Delivery, Continuous Integration, Data Science, Diversity, Editing, Environmental Management, Information Technology & Information Systems, Leadership, Offshoring, Product Marketing, Production Systems, Python Programming/Scripting Language, Requirements Management, Sales Pipeline, Scalable System Development, Software Engineering, System Integration (SI), Workforce Management
LOCATION
Irvine, CA
POSTED
1 day ago
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: AI Lead Engineer / AI Architect (Hands-on)
Location: Irvine, CA
Duration: 6 Months
Job Type: Temporary Assignment
Work Type: Hybrid
Job Description:
You Are:
  • A highly skilled hands-on AI Lead Engineer / Architect with at least 8+ years of experience in AI/ML, Data Engineering, or Software Engineering.
  • You bring strong expertise in designing and building scalable, production-ready AI solutions, with deep hands-on experience in LLM-enabled applications, agent-based systems, and cloud-native architectures.
  • You are comfortable working closely with business stakeholders and leading AI-driven innovation initiatives in an enterprise environment.
The Opportunity:
  • Design and develop scalable AI/ML pipelines and intelligent applications aligned with enterprise standards
  • Build agent-based AI workflows, automation systems, and retrieval-based architectures (RAG, vector search, embeddings)
  • Architect and implement LLM orchestration layers supporting content ideation, drafting, and editing workflows
  • Lead integration of AI solutions with backend systems and enterprise platforms (APIs, internal tools, data platforms)
  • Partner with product, marketing, and business stakeholders to translate requirements into AI-driven solutions
  • Provide architectural leadership, guide offshore teams, and ensure delivery aligned with scalability, security, and governance standards
What You Need:
  • At least 8+ years of experience in AI/ML, Data Science, or Software Engineering
  • Strong Python backend development experience
  • Hands-on experience with LLM-enabled applications and Generative AI
  • Experience building agent-based / agent-oriented AI systems
  • Strong expertise in retrieval-based systems (RAG, vector databases, embeddings, indexing)
  • Experience with API development and backend system integration
  • AWS cloud-native development experience
  • Experience with CI/CD pipelines and environment management
  • Strong understanding of observability (logging, monitoring, tracing)
  • Experience deploying ML models in production environments
  • Exposure to enterprise AI workflows, automation, and governance models
TekWissen Group is an equal opportunity employer supporting workforce diversity.

About the Company

T

TekWissen LLC

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.



COMPANY SIZE
100 to 499 employees
INDUSTRY
Computer/IT Services
FOUNDED
2009
WEBSITE
http://www.tekwissen.com/