Design, build, and operate a secure, scalable Generative AI platform on AWS (Bedrock) for production LLM applications in regulated environments. Own architecture, deployment, monitoring, incident management, reliability, governance, cost optimization, and AI evaluation/Responsible AI practices.
JD Experience – 8 + years Key Responsibilities • Design, build, and operate a secure, scalable, and cost efficient enterprise Generative AI platform on AWS, supporting production grade LLM applications in regulated environments. • Own the full GenAI platform lifecycle, including architecture, deployment, operations, monitoring, incident management, and continuous reliability and performance improvements. • Implement and run AWS Bedrock–based solutions, enabling LLM inference, RAG, Agents, and Guardrails with high availability, fault tolerance, and SLA compliance. • Establish strong operational and governance frameworks, covering observability, alerting, RCA, security controls, access management, compliance, and cost optimization. • Bring deep expertise in cloud ML platforms and financial services, with strong Python skills, AWS services knowledge, GenAI hands on experience, and a background in production support, reliability engineering, and AI governance. Required Skills • 8+ years of experience in hands on exposure to AI/ML or Generative AI systems • Strong understanding of AI evaluation techniques, including hallucination detection, factual accuracy, bias, and output consistency • Knowledge of Responsible AI principles, including fairness, transparency, and explainability • Python (must-have) and Experience with: REST APIs and microservices
Similar Jobs
Information Technology • Consulting
Design and deliver GenAI solutions: prototype to production LLM services, build RAG pipelines, fine-tune models (LoRA/QLoRA/PEFT), engineer prompts/tools/memory, ensure safety and evaluation, deploy with MLOps (CI/CD, containers, IaC), optimize inference, and ensure security/compliance while collaborating with product, data, and SRE teams.
Top Skills:
Agentic PatternsChunkingCi/CdContainerizationContent FiltersDocument StoresEmbeddingsEvaluation FrameworksFilteringFoundation ModelsGuardrailsHosted ApisInfrastructure As CodeLlmLoraMultimodalObservability ToolingOpen-Source ModelsPeftPii HandlingPrompt EngineeringQloraRagRe-RankingRetrievalVector Databases
Information Technology • Consulting
Develop, test, and maintain applications using Java, Python, or Node.js. Write clean, efficient code, debug and optimize, collaborate with cross-functional teams, use data structures/algorithms, work with SQL/NoSQL databases, participate in code reviews, and stay current on AI/ML concepts, agents, and automation tools.
Top Skills:
AgentsAIAutomation ToolsJavaMachine LearningNode.jsNoSQLPythonSQL
Information Technology • Consulting
Design, build, and operate a secure, scalable GenAI platform on AWS (including Bedrock). Own platform lifecycle, enable LLM inference, RAG, Agents and guardrails, ensure observability, incident management, security, compliance, cost optimization, and reliability for production-grade regulated-financial environments. Provide Python-based development and support for microservices and REST APIs.
Top Skills:
AgentsAWSAws BedrockLlmsMicroservicesPythonRest ApisRetrieval-Augmented Generation (Rag)
What you need to know about the Los Angeles Tech Scene
Los Angeles is a global leader in entertainment, so it’s no surprise that many of the biggest players in streaming, digital media and game development call the city home. But the city boasts plenty of non-entertainment innovation as well, with tech companies spanning verticals like AI, fintech, e-commerce and biotech. With major universities like Caltech, UCLA, USC and the nearby UC Irvine, the city has a steady supply of top-flight tech and engineering talent — not counting the graduates flocking to Los Angeles from across the world to enjoy its beaches, culture and year-round temperate climate.
Key Facts About Los Angeles Tech
- Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Snap, Netflix, SpaceX, Disney, Google
- Key Industries: Artificial intelligence, adtech, media, software, game development
- Funding Landscape: $11.6 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Strong Ventures, Fifth Wall, Upfront Ventures, Mucker Capital, Kittyhawk Ventures
- Research Centers and Universities: California Institute of Technology, UCLA, University of Southern California, UC Irvine, Pepperdine, California Institute for Immunology and Immunotherapy, Center for Quantum Science and Engineering
