7 days ago
San Diego, CA, USAMid Level
Base Salary
$122k - $218k/yr
Responsibilities
- Establish architecture standards, patterns, and reference architectures for RAG, agentic workflows, model serving, AI gateways, and enterprise AI solutions.
- Evaluate, select, integrate, and govern AI/ML services, LLMs, AI agents, multi-agent systems, and responsible AI practices.
- Define MLOps practices for model deployment, monitoring, versioning, lifecycle management, and drift detection.
- Design and implement scalable AWS, serverless, cloud-native, hybrid, microservices, API, event-driven, and integration architectures.
- Translate business requirements into technical architecture, lead architecture reviews and proof-of-concepts, and maintain documentation and technology roadmaps.
- Lead application rationalization and modernization initiatives to reduce technical debt and align technology investments with business priorities.
- Provide technical mentorship on cloud best practices, AI implementation patterns, and modern software design principles.
Requirements
- Bachelor's degree in Computer Science, Information Systems, or a related field.
- Minimum 5–7 years of experience with cloud technologies and IT systems, including enterprise-scale solution design and delivery.
- Minimum 2–3 years of hands-on experience with AI/ML technologies, including LLMs, agentic frameworks, or cloud AI/ML services.
- Strong knowledge of LLMs, AI agents, MCP, A2A communication, prompt engineering, RAG, model evaluation, responsible AI, and AI cost optimization.
- Hands-on experience with AWS AI/ML services, AWS cloud architecture, serverless patterns, Python, Linux and Windows administration, databases, data pipelines, and infrastructure-as-code.
- Experience with enterprise integration patterns, RESTful APIs, event-driven architecture, microservices, DevSecOps, container orchestration, observability, and FinOps.
- Preferred certifications include TOGAF, Zachman Framework, AWS Solutions Architect Associate or Professional, AWS Machine Learning Specialty, SnowPro Core or Advanced Architect, and related AI/ML, data engineering, DevOps, or security certifications.
- Strong communication skills and the ability to explain complex technical concepts to technical, non-technical, and executive audiences.
Benefits
- Competitive benefits package with medical, dental, vision, and 401(k) plans with company match.
- Bonus potential, paid time off, and paid holidays.
- Learning and professional development support.
- Hybrid work arrangement with office-based work and frequent computer use.
- Employment sponsorship is not offered for this opportunity.
Tech Stack
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