What are the responsibilities and job description for the AI Lead Engineer / AI Architect position at Kastech Software Solutions Group?
Role: AI Lead Engineer / AI Architect
Location: Irvine, CA and LA, CA - (2-3 days / week in the client’s Irvine office, 1 day in their downtown LA office, 1 day remote)
Duration: Long term Contract
Job Description
:A highly skilled hands-on AI Lead Engineer / Architect with at least 12 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 Opportunit
- y:Design and develop scalable AI/ML pipelines and intelligent applications aligned with enterprise standar
- dsBuild agent-based AI workflows, automation systems, and retrieval-based architectures (RAG, vector search, embedding
- s)Architect and implement LLM orchestration layers supporting content ideation, drafting, and editing workflo
- wsLead integration of AI solutions with backend systems and enterprise platforms (APIs, internal tools, data platform
- s)Partner with product, marketing, and business stakeholders to translate requirements into AI-driven solutio
- nsProvide architectural leadership, guide offshore teams, and ensure delivery aligned with scalability, security, and governance standar
ds
What You Ne
- ed:At least 8 years of experience in AI/ML, Data Science, or Software Engineer
- ingStrong Python backend development experie
- nceHands-on experience with LLM-enabled applications and Generative
- AIExperience building agent-based / agent-oriented AI syst
- emsStrong expertise in retrieval-based systems (RAG, vector databases, embeddings, indexi
- ng)Experience with API development and backend system integrat
- ionAWS cloud-native development experie
- nceExperience with CI/CD pipelines and environment managem
- entStrong understanding of observability (logging, monitoring, traci
- ng)Experience deploying ML models in production environme
- ntsExposure to enterprise AI workflows, automation, and governance mod
els
Mandatory A
- reasAI/ML Solution Architec
- tureLLM & Generative AI Develop
- mentAgent-Based Sys
- temsRetrieval-Augmented Systems (
- RAG)Enterprise AI Integra
tion
Must Have S
- killsSkill 1 – Python & Backend Develo
- pmentSkill 2 – LLM / Generative AI Application Develo
- pmentSkill 3 – Agent-Based AI Sy
- stemsSkill 4 – RAG / Vector DB / Embed
- dingsSkill 5 – API Development & System Integr
- ationSkill 6 – AWS Cloud (Cloud-Native Develop
- ment)Skill 7 – CI/CD & DevOps Prac
- ticesSkill 8 – Observability (Logging, Monitoring, Tra
cing)
Domain Experience (I
- f any)AI-enabled enterprise wor
- kflowsMarketing / Content generation platforms (nice to
- have)Financial / Investment domain (preferred based on content use
cases)
Must Have Certifi
- cationsNot mandatory (AWS / ML / AI certifications are good t