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Llmops Jobs in Florida (NOW HIRING)

Cliftonlarsonallen

Lead ML Ops Engineer

Naples, FL · On-site

$96K - $127K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

Define and execute an enterprise AI/ML platform strategy, encompassing MLOps, LLMOps, and AIOps, and build reusable frameworks and standards adopted across multiple projects and business units.

Cliftonlarsonallen

Lead ML Ops Engineer

Orlando, FL · On-site

$95K - $126K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

Define and execute an enterprise AI/ML platform strategy, encompassing MLOps, LLMOps, and AIOps, and build reusable frameworks and standards adopted across multiple projects and business units.

Citi

Generative AI Senior Delivery Lead

Tampa, FL

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Collaborate closely with Data Mesh, Cloud Architecture, MLOps/LLMOps, and business unit teams to ensure the seamless integration and operationalization of GenAI and agentic solutions into our ...

Posted today

Cliftonlarsonallen

Senior Solution Architect

Tampa, FL

$185K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

AI Solution Design, Delivery & LLMOps * Design, implement, and oversee enterprise AI solutions leveraging Large Language Models (LLMs), RAG, AI Agents, vector databases, and modern AI frameworks.

Amgen Inc

Principal Software Engineer

Tampa, FL · On-site

$122K - $164K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Establish and enforce best practices in MLOps, LLMOps, and DevOps , including CI/CD, monitoring, observability, reproducibility, and cost optimization. * Architect and oversee scalable cloud-based ML ...

Rivago infotech inc

AI Architect (GENAI)

Miami, FL · On-site

... LLMOps, and enterprise AI rollout Familiarity with map-based or data visualization platforms and with Neo4j / Cosmos DB Experience & Profile: · 12-15 years in enterprise architecture and solution ...

New

Amgen, Inc.

Principal Software Engineer

Tampa, FL · On-site

$127K - $171K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Establish and enforce best practices in MLOps, LLMOps, and DevOps , including CI/CD, monitoring, observability, reproducibility, and cost optimization. * Architect and oversee scalable cloud-based ML ...

Capco

Sr. AI Engineer

Orlando, FL · Hybrid

$97K - $134K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

Familiarity with MLOps/LLMOps tools and model lifecycle management * Experience contributing to full-stack development across backend and frontend * Interest in staying current with emerging AI ...

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Llmops information

What is the difference between Llmops vs Data Scientist?

AspectLlmopsData Scientist
Required credentialsKnowledge of machine learning, AI frameworks, cloud platformsStatistics, programming, data analysis skills
Work environmentAI/ML teams, cloud environments, deployment pipelinesData analysis, modeling, reporting in various industries
Employer usageTech companies, AI startups, research labsFinance, healthcare, tech, retail

While both roles involve working with data and machine learning, Llmops focuses on deploying and maintaining large language models in production environments, requiring expertise in AI infrastructure. Data Scientists primarily analyze data, build models, and generate insights. Llmops professionals ensure models operate efficiently at scale, whereas Data Scientists develop the models and interpret results.

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What job categories do people searching Llmops jobs in Florida look for?

The top searched job categories for Llmops jobs in Florida are:

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Llmops jobs near you
Infographic showing various Llmops job openings in Florida as of August 2026, with employment types broken down into 93% Full Time, 3% Part Time, and 4% Contract. Highlights an 82% Physical, 8% Hybrid, and 10% Remote job distribution.

Information Technology_USA - USA_Developer

Real Soft, Inc.

Jacksonville, FL • On-site

Contractor

Re-posted 12 days ago

Job description

**Please strictly adhere to the following resume naming convention:
ALL CAPS, NO SPACES B/T UNDERSCORES
PTN_US_GBAMSREQID_CandidateBeelineID
i.e. PTN_US_9999999_SKIPJOHNSON0413
: -/hr
Location: Hybrid - Chicago - Primary - If not possible we can get remote only if customer agrees to it based on associate
Duration: 6 months
skill id: 10795544
Gen AI Architect
"8+ years of total software engineering and technical architecture experience
3+ years of hands-on experience designing and deploying enterprise Gen AI or agentic workflows into production environments
Experience conducting client-facing technical workshops, architecting solutions for RFPs, and translating complex business requirements into robust designs
Programming: Advanced Python (Pandas, PyTorch, Hugging Face, Scikit-Learn)
Frameworks: LangChain, LlamaIndex, LangGraph, CrewAI, AutoGen
Cloud Platforms: AWS (Bedrock), Azure (Azure OpenAI), or GCP (Vertex AI)
Databases: Vector DBs (ChromaDB, Pinecone, FAISS, Weaviate)
Microservices: FastAPI, Flask, Spring Boot, REST APIs
DevOps / MLOps: Docker, Kubernetes, CI/CD pipelines, MLflow, model monitoring tools "
"Key Responsibilities
1. Architecture & Solution Design
System Design: Define end-to-end architectures for complex Gen AI solutions, including Retrieval-Augmented Generation (RAG) pipelines, multimodal models, and autonomous multi-agent systems
Reusable Patterns: Establish reusable architectural patterns, blueprint standards, and engineering templates to accelerate AI adoption and eliminate redundant engineering efforts
Integration Strategy: Design secure, cloud-native microservices and APIs (e.g., FastAPI, REST) to seamlessly connect AI orchestrators with enterprise data backends and legacy systems
2. Model & Agent Strategy
Orchestration & Agentic Systems: Architect and build multi-agent, goal-driven, autonomous AI systems utilizing frameworks such as LangGraph, CrewAI, AutoGen, or LlamaIndex
Model Lifecycle & Strategy: Lead the evaluation, selection, and fine-tuning strategy for proprietary APIs (e.g., OpenAI, Anthropic, Gemini) and open-source models (e.g., Llama, Mistral) based on performance, latency, and cost
Prompt Engineering: Standardize advanced prompt engineering frameworks (e.g., chain-of-thought, few-shot prompting) to ensure deterministic and scalable model behavior
3. LLMOps, Infrastructure, & Data
Infrastructure Sizing: Define cloud infrastructure scaling models, GPU/TPU sizing strategies, and orchestration layouts (utilizing Docker, Kubernetes/OpenShift)
Vector Databases: Architect robust information retrieval utilizing vector search databases (e.g., Pinecone, Milvus, Weaviate, FAISS)
Operational Pipelines: Implement end-to-end GenAIOps/LLMOps pipelines for automated model deployment, performance monitoring, drift detection, and observability
4. Governance, Security, & Compliance
Responsible AI: Embed governance, security, and compliance guardrails by design into all AI architectures, ensuring protection against prompt injection, data leakage, and PII exposure
Quality Assurance & Testing: Implement evaluation frameworks to systematically test LLM accuracy, reduce hallucinations, and validate solution architectures "
Role Descriptions:
Essential Skills: Gen AI Architect
Desirable Skills:
Keyword:
Skills: AI & Gen AI - Products & Tools
Experience Required[RATE REDACTED], Project Code :

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