AI Solutions Architect
Listed on 2026-07-14
-
Software Development
AI Engineer (Applied/Software), Machine Learning/ ML Engineer, AI Reliability/ Performance Engineer, Software Architect
We are hiring an experienced AI Solutions Architect to lead the design, engineering, and delivery of enterprise-scale AI solutions.
This is a highly hands-on, senior role for someone who builds production AI systems end to end. You will own the architecture, code, infrastructure, and deployment of AI solutions that directly drive business outcomes.
If you have deep experience with GenAI, LLMs, RAG pipelines, and agentic systems in real production environments, this role is built for you.
What You Will Do- Design and deploy production-grade AI systems across GenAI, predictive AI, and automation
- Own the full lifecycle from architecture through deployment and performance optimization
- Serve as the technical authority for AI solution delivery across the organization
- Build LLM-powered applications, assistants, and multi-agent workflows
- Develop robust RAG pipelines including ingestion, chunking, embeddings, retrieval, and reranking
- Implement intelligent model routing based on cost, latency, and task complexity
- Create prompt frameworks, prompt libraries, and evaluation pipelines
- Apply guardrails for safety, accuracy, and compliance
- Design and build multi-agent systems with orchestration, memory, and tool usage
- Enable agents to interact with enterprise platforms and execute multi-step workflows
- Develop tool libraries using Python, APIs, and enterprise integrations
- Implement intent classification, routing, and escalation logic
- Build and maintain AI workloads on Databricks including MLflow, model serving, and pipelines
- Write production-grade Python across APIs, automation, and AI orchestration
- Manage CI/CD pipelines and repository structure using Git Lab
- Deliver reliable, scalable, and observable AI systems in production
- Connect AI solutions to ERPs, HR systems, collaboration tools, and project platforms
- Build APIs, connectors, and event-driven pipelines using Azure Functions
- Establish best practices across AI development, deployment, and monitoring
- Ensure systems meet security, privacy, and compliance requirements
- Monitor performance including latency, uptime, and cost efficiency
- 7+ years in AI/ML engineering
, solution architecture, or software engineering - Proven experience building and deploying
production
AI
systems
- GenAI and LLM systems including prompt engineering and evaluation
- RAG pipelines at scale including hybrid search, reranking, and optimization
- Model routing strategies with fallback logic and cost optimization
- Agentic AI frameworks such as Lang Chain, Llama Index, Auto Gen or similar
- Databricks ecosystem including MLflow and production pipelines
- Python engineering for APIs, automation, and AI workflows
- CI/CD and Git Lab for AI solution lifecycle management
- APIs and integrations across enterprise platforms
- Vector databases and semantic search
- You have deployed RAG systems in real-world production environments
- You have built intelligent routing systems beyond simple model switching
- You have developed agent-based systems that execute real business workflows
- You are comfortable owning systems end to end, from architecture to production reliability
- High-impact role shaping enterprise AI strategy and execution
- Full ownership of modern AI architecture and delivery
- Opportunity to work on cutting-edge GenAI and agentic systems
- Strong compensation and comprehensive benefits
- Collaborative, fast-moving environment with real investment in AI innovation
All qualified applicants will receive consideration for employment without regard to race, color, national origin, age, ancestry, religion, sex, sexual orientation, gender identity, gender expression, marital status, disability, medical condition, genetic information, pregnancy, or military or veteran status. We consider all qualified applicants, including those with criminal histories, in a manner consistent with state and local laws, including the California Fair Chance Act, City of Los Angeles' Fair Chance Initiative for Hiring Ordinance, and Los Angeles County Fair Chance Ordinance.
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