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AI Lead Engineer AI Architect (Hands-on)
Job Location:
Job Location:
Irvine, CA - USA
Monthly Salary:
Not provided by the employer
Monthly Salary:
Posted:
3 July 2026 (30+ days ago)
Posted:
Application Deadline:
30 September 2026
Application Deadline:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
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.
