Design and deploy enterprise-grade generative AI systems across the 7-layer stack, select and fine-tune models, build LLMOps pipelines and observability, integrate with cloud platforms and APIs, enforce data protection, manage hallucinations, lead technical strategy, and act as onshore client technical liaison.
Design and deploy enterprise-grade AI solutions (LLMs, RAG, agents) by selecting appropriate models, building data pipelines, and integrating them with cloud platforms (AWS, Azure, GCP). Lead technical strategies across the standard 7-layer GenAI stack (from data ingestion to application interfaces), ensure scalability, manage AI security/hallucinations, and bridge business needs with engineering teams.
Responsibilities- System Design & Architecture: Architect end-to-end Generative AI systems by operationalizing the 7-layer AI architecture (Data Sources, Preprocessing, Model Selection, Orchestration, Inference, Integration, and Application).
- Model Selection & Tuning: Evaluate and select cutting-edge commercial (e.g., GPT-4) and open-source models, and fine-tune models for domain-specific use cases.
- LLMOps, Observability & Pipelines: Establish LLMOps standards for model versioning and CI/CD. Implement foundational observability (OBS) layers using tools like Datadog, Splunk, or Prometheus to monitor system health, API latency, and basic application metrics.
- Integration & Data Protection: Integrate AI solutions with existing APIs while enforcing core data protection measures, including Role-Based Access Control (RBAC), data encryption in transit, and basic PII (Personally Identifiable Information) masking to manage hallucinations and adversarial attacks.
- Strategic Leadership: Collaborate with stakeholders to map business challenges to AI solutions and establish AI governance frameworks.
- Client Consulting: Act as the primary onshore technical liaison, facilitating client workshops, requirements gathering, and translating business pain points into technical AI blueprints.
- Consulting Skills: Exceptional client-facing communication skills; proven ability to present complex technical concepts to business stakeholders.
- Technical Expertise: Deep knowledge of NLP, Python, deep learning frameworks (PyTorch/TensorFlow), and orchestration tools (LangChain, Autogen).
- Cloud & Data Systems: Extensive hands-on experience with AI services on AWS, Azure, or GCP. Expertise in vector databases (e.g., Pinecone, Milvus) and embedding techniques.
- Qualifications: Bachelor’s / Master’s in Computer Science, AI, Data Science, or related field; 8–15 years in software engineering, ML, or AI roles, with demonstrable onshore consulting experience.
Similar Jobs
Digital Media • Information Technology • News + Entertainment
Sell Comcast Enterprise services to Fortune 500 clients in the finance and insurance vertical. Develop territory strategy, generate leads, deliver sales presentations, manage a sales funnel, close complex deals, collaborate with finance and engineering, meet quotas, and maintain strong customer relationships and retention.
Top Skills:
Business Class InternetCommunicationsConnectivityCybersecurityEthernetGig-Speed BroadbandManaged RouterManaged SecurityManaged ServicesManaged WifiNetworkingWireless
Digital Media • Information Technology • News + Entertainment
Lead enterprise Salesforce architecture across Sales, Marketing, and Service Clouds. Design scalable, secure integrations and data migrations, establish governance and design principles, mentor teams, develop roadmaps, evaluate emerging technologies, and drive large-scale architectural transformations to meet business objectives.
Top Skills:
Api IntegrationsBss/OssData MigrationIdentity ManagementMarketing CloudSales CloudSalesforceService Cloud
Digital Media • Information Technology • News + Entertainment
Territory-focused enterprise account executive responsible for acquiring and managing mid-market and multi-location customers. Develops territory strategy, generates leads through prospecting, delivers live sales presentations, and sells complex managed solutions. Builds partner relationships, ensures customer retention and operational alignment, and maintains sales records and reporting.
Top Skills:
Business Continuity/Disaster RecoveryCustomer Premises Equipment (Cpe)CybersecurityEthernetLanManNetwork DesignNetwork SecurityNetworking Protocols (Layers 1-3)Sd-WanVoipVpnWanWdm
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
