Implement secure SDLC, CI/CD, LLMOps/MLOps, and DevSecOps practices; ensure adherence to SOC 2, ISO 27001, HIPAA, and GDPR standards. * Own end-to-end ML lifecycle including data ingestion ...
Implement secure SDLC, CI/CD, LLMOps/MLOps, and DevSecOps practices; ensure adherence to SOC 2, ISO 27001, HIPAA, and GDPR standards. * Own end-to-end ML lifecycle including data ingestion ...
Minimum of 3 years of experience with LLMOps/MLOps at scale and multi-cloud architecture (AWS, Azure, Google) * Minimum of 5 years of experience leading engineering teams and end-to-end solution ...
Minimum of 3 years of experience with LLMOps/MLOps at scale and multi-cloud architecture (AWS, Azure, Google) * Minimum of 5 years of experience leading engineering teams and end-to-end solution ...
AI/ML Ops & Infrastructure Engineer - Q126
Alpharetta, GA · On-site
$105K - $137K/yr
You will transition beyond basic CI/CD to implement full-lifecycle LLMOps-managing foundation models, fine-tuned adapters, routing logic, and guardrails. Your work will ensure that our AI solutions ...
AI/ML Ops & Infrastructure Engineer - Q126
Alpharetta, GA · On-site
$105K - $137K/yr
You will transition beyond basic CI/CD to implement full-lifecycle LLMOps-managing foundation models, fine-tuned adapters, routing logic, and guardrails. Your work will ensure that our AI solutions ...
AI & Data Solution Architect
Atlanta, GA · On-site
Establish MLOps and LLMOps frameworks for model training, deployment, monitoring, evaluation, and lifecycle management. * Define approaches for model observability, explainability (XAI), bias ...
AI & Data Solution Architect
Atlanta, GA · On-site
Establish MLOps and LLMOps frameworks for model training, deployment, monitoring, evaluation, and lifecycle management. * Define approaches for model observability, explainability (XAI), bias ...
Experience with MLOps/LLMOps, including model evaluation, monitoring, prompt management, experimentation, and model risk considerations. #J-18808-Ljbffr
New
Experience with MLOps/LLMOps, including model evaluation, monitoring, prompt management, experimentation, and model risk considerations. #J-18808-Ljbffr
New
Principal Consultant, Data & AI Engineer
Atlanta, GA · On-site
$120 - $190/hr
Experience with MLOps/LLMOps, including model evaluation, monitoring, prompt management, experimentation, and model risk considerations. #J-18808-Ljbffr
New
Principal Consultant, Data & AI Engineer
Atlanta, GA · On-site
$120 - $190/hr
Experience with MLOps/LLMOps, including model evaluation, monitoring, prompt management, experimentation, and model risk considerations. #J-18808-Ljbffr
New
AI Technical Program Manager
$124K - $160K/yr
Understanding of LLMOps (optional MLOps), AI evaluation frameworks, model observability, and lifecycle management. * Familiarity with RAG architectures, vector databases, prompt engineering concepts ...
New
Quick apply
AI Technical Program Manager
$124K - $160K/yr
Understanding of LLMOps (optional MLOps), AI evaluation frameworks, model observability, and lifecycle management. * Familiarity with RAG architectures, vector databases, prompt engineering concepts ...
New
AI Technical Program Manager
Atlanta, GA · On-site
$124K - $160K/yr
Understanding of LLMOps (optional MLOps), AI evaluation frameworks, model observability, and lifecycle management. Familiarity with RAG architectures, vector databases, prompt engineering concepts ...
AI Technical Program Manager
Atlanta, GA · On-site
$124K - $160K/yr
Understanding of LLMOps (optional MLOps), AI evaluation frameworks, model observability, and lifecycle management. Familiarity with RAG architectures, vector databases, prompt engineering concepts ...
Python Developer
Alpharetta, GA · On-site
$110K - $120K/yr
Preferred Skills • Experience with cloud platforms such as AWS, Azure, or GCP. • Knowledge of MLOps, LLMOps, and model deployment practices. • Experience with PyTorch, TensorFlow, Scikit-learn ...
New
Python Developer
Alpharetta, GA · On-site
$110K - $120K/yr
Preferred Skills • Experience with cloud platforms such as AWS, Azure, or GCP. • Knowledge of MLOps, LLMOps, and model deployment practices. • Experience with PyTorch, TensorFlow, Scikit-learn ...
New
Sr. Data Architect
Atlanta, GA · On-site
$64.75 - $86.50/hr
Partner with ML/DevOps teams to architect and maintain MLOps and LLMOps processes that ensure context data, feature stores, and vector embeddings are continuously updated and monitored in production ...
Sr. Data Architect
Atlanta, GA · On-site
$64.75 - $86.50/hr
Partner with ML/DevOps teams to architect and maintain MLOps and LLMOps processes that ensure context data, feature stores, and vector embeddings are continuously updated and monitored in production ...
Experience with MLOps/LLMOps practices, including model lifecycle management, CI/CD for ML, monitoring, and retraining pipelines. * Strong hands-on proficiency in Python and ML/AI frameworks such as ...
Experience with MLOps/LLMOps practices, including model lifecycle management, CI/CD for ML, monitoring, and retraining pipelines. * Strong hands-on proficiency in Python and ML/AI frameworks such as ...
Senior AI Engineer 2026 - US
Atlanta, GA · On-site +1
$100K - $138K/yr
Experience with MLOps, LLMOps, or production deployment pipelines * Strong understanding of software engineering principles, including testing, version control, CI/CD, code reviews, and system design
Senior AI Engineer 2026 - US
Atlanta, GA · On-site +1
$100K - $138K/yr
Experience with MLOps, LLMOps, or production deployment pipelines * Strong understanding of software engineering principles, including testing, version control, CI/CD, code reviews, and system design
Lead Solutions Architect
Atlanta, GA · On-site
Robust MLOps/LLMOps practices for observability, evaluation, and cost/performance optimization * Proven ability to integrate AI systems with event-driven microservices, vector databases/feature ...
Lead Solutions Architect
Atlanta, GA · On-site
Robust MLOps/LLMOps practices for observability, evaluation, and cost/performance optimization * Proven ability to integrate AI systems with event-driven microservices, vector databases/feature ...
Senior AI Engineer 2026 - US
Atlanta, GA · On-site +1
$100K - $138K/yr
Experience with MLOps, LLMOps, or production deployment pipelines * Strong understanding of software engineering principles, including testing, version control, CI/CD, code reviews, and system design
Senior AI Engineer 2026 - US
Atlanta, GA · On-site +1
$100K - $138K/yr
Experience with MLOps, LLMOps, or production deployment pipelines * Strong understanding of software engineering principles, including testing, version control, CI/CD, code reviews, and system design
Senior AI Engineer (Remote)
Atlanta, GA · On-site +1
$99K - $136K/yr
... LLMOps best practices (CI/CD, automated testing, model versioning and registries, governance, compliance, and security) across the full AI/agent lifecycle. * AIOps & Deployment Reliability:
Senior AI Engineer (Remote)
Atlanta, GA · On-site +1
$99K - $136K/yr
... LLMOps best practices (CI/CD, automated testing, model versioning and registries, governance, compliance, and security) across the full AI/agent lifecycle. * AIOps & Deployment Reliability:
Experience with machine learning operations (MLOps) or large language model operations (LLMOps), including evaluation frameworks, model monitoring, or prompt management * Experience integrating LLM ...
Experience with machine learning operations (MLOps) or large language model operations (LLMOps), including evaluation frameworks, model monitoring, or prompt management * Experience integrating LLM ...
Experience setting standards for MLOps, LLMOps, CI/CD, model and prompt versioning, automated evaluation, observability, containerization, Kubernetes, serverless deployment, and cost/performance ...
New
Experience setting standards for MLOps, LLMOps, CI/CD, model and prompt versioning, automated evaluation, observability, containerization, Kubernetes, serverless deployment, and cost/performance ...
New
Principal - AI Architect - Insurance
Atlanta, GA · On-site
$154.38 - $193.12/hr
Experience with MLOps/LLMOps practices, including model lifecycle management, CI/CD for ML, monitoring, and retraining pipelines * Strong hands-on proficiency in Python and ML/AI frameworks such as ...
Principal - AI Architect - Insurance
Atlanta, GA · On-site
$154.38 - $193.12/hr
Experience with MLOps/LLMOps practices, including model lifecycle management, CI/CD for ML, monitoring, and retraining pipelines * Strong hands-on proficiency in Python and ML/AI frameworks such as ...
Experience with MLOps/LLMOps, including model evaluation, monitoring, prompt management, experimentation, and model risk considerations. * Experience integrating LLM solutions with enterprise systems ...
Experience with MLOps/LLMOps, including model evaluation, monitoring, prompt management, experimentation, and model risk considerations. * Experience integrating LLM solutions with enterprise systems ...
Lead Solutions Architect
Atlanta, GA · On-site
Robust MLOps/LLMOps practices for observability, evaluation, and cost/performance optimization * Proven ability to integrate AI systems with event-driven microservices, vector databases/feature ...
Lead Solutions Architect
Atlanta, GA · On-site
Robust MLOps/LLMOps practices for observability, evaluation, and cost/performance optimization * Proven ability to integrate AI systems with event-driven microservices, vector databases/feature ...
Llmops information
What is the difference between Llmops vs Data Scientist?
| Aspect | Llmops | Data Scientist |
|---|---|---|
| Required credentials | Knowledge of machine learning, AI frameworks, cloud platforms | Statistics, programming, data analysis skills |
| Work environment | AI/ML teams, cloud environments, deployment pipelines | Data analysis, modeling, reporting in various industries |
| Employer usage | Tech companies, AI startups, research labs | Finance, 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.
What are popular job titles related to Llmops jobs in Georgia?
For Llmops jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Llmops jobs in Georgia look for?
The top searched job categories for Llmops jobs in Georgia are:
What cities in Georgia are hiring for Llmops jobs?
Cities in Georgia with the most Llmops job openings:
Director of Engineering Artificial Intelligence Foundry
Atlanta, GA • On-site
Insight Global
Full-time
Re-posted 25 days ago
Job description
Overview
Responsibilities
Qualifications
As Director of Engineering, you will lead the design, development, and engineering of enterprise-grade agentic AI solutions and frameworks for Evergreen.AI. This role requires a proven leader who can scale engineering teams, define technical strategy, and ensure operational excellence for production systems-not just PoCs and pilots. You will leverage your experience in technical architecture, global delivery leadership, and AI enablement to build secure, resilient, and compliant solutions for Fortune 500 clients.
In addition, you will serve as a highly client-facing leader, engaging directly with executive stakeholders to understand business needs, communicate technical concepts clearly, and build trusted advisory relationships. You will foster a collaborative, solution-oriented culture, demonstrating strong communication skills and a growth mindset to drive innovation and continuous improvement across teams.
Responsibilities
- Engineering Leadership: Build and lead high-performing engineering teams across regions; establish career frameworks, mentorship programs, and succession planning.
- Platform & Framework Ownership: Define Evergreen.AI’s agentic AI architecture, including multi-agent orchestration, LLM knowledge management, and enterprise integration patterns.
- Delivery Excellence: Drive production readiness-runbooks, observability, SLAs, and resiliency patterns for multi-region deployments.
- Technical Strategy: Partner with Product and Architecture to align roadmaps with business outcomes; evaluate emerging technologies for scalability and compliance.
- Operational Governance: Implement secure SDLC, CI/CD, LLMOps/MLOps, and DevSecOps practices; ensure adherence to SOC 2, ISO 27001, HIPAA, and GDPR standards.
- Own end-to-end ML lifecycle including data ingestion, preprocessing, model training, serving, and evaluation; ensure reproducibility, traceability, and versioning of models and experiments; implement production-grade MLOps practices (CI/CD for ML, automated validation, monitoring, rollback strategies).
- Client Engagement: Support executive briefings, architecture reviews, and technical pre-sales; act as a trusted advisor for enterprise AI adoption.
- Innovation & Enablement: Champion responsible AI principles; contribute to reusable accelerators, reference architectures, and delivery templates.
- Team Collaboration & Communication: Foster a culture of teamwork and open communication, supporting and empowering colleagues across engineering, data science, product, and business functions. Build consensus, resolve conflicts constructively, and celebrate team achievements.
- Solution Orientation: Approach challenges with creativity and resilience, focusing on outcomes and continuous improvement. Proactively identify obstacles, develop actionable plans, and drive execution to deliver measurable business value for clients and the organization.
- Growth Mindset: Embrace learning, innovation, and personal development. Stay current with emerging technologies, encourage experimentation, and foster an environment where feedback is welcomed and used for improvement.
Qualifications
- 12+ years in software engineering, with 5+ years leading multi-team engineering organizations delivering enterprise-grade AI solutions.
- Proven experience in technical architecture and global delivery leadership for Fortune 1000 clients.
- Expertise in agentic AI/ML systems, orchestration frameworks (LangChain, Semantic Kernel), and LLMOps/MLOps platforms (MLflow, Kubeflow, Azure ML).
- Strong knowledge of data and knowledge management for LLMs, including retrieval pipelines and vector databases (Pinecone, Weaviate, Milvus).
- Hands-on experience with cloud platforms (Azure preferred), container orchestration (Kubernetes), and event-driven architectures (Kafka/Event Hub).
- Familiarity with observability tools (Prometheus, Grafana, ELK) and resiliency patterns (circuit breakers, chaos engineering).
- Strong proficiency with Python and ML frameworks
- Exceptional leadership, cross-collaboration, communication, and stakeholder management skills.
- Advanced degree in Computer Science.
- 12+ years in software engineering, with 5+ years leading multi-team engineering organizations delivering enterprise-grade AI solutions.
- Proven experience in technical architecture and global delivery leadership for Fortune 1000 clients.
- Expertise in agentic AI/ML systems, orchestration frameworks (LangChain, Semantic Kernel), and LLMOps/MLOps platforms (MLflow, Kubeflow, Azure ML).
- Strong knowledge of data and knowledge management for LLMs, including retrieval pipelines and vector databases (Pinecone, Weaviate, Milvus).
- Hands-on experience with cloud platforms (Azure preferred), container orchestration (Kubernetes), and event-driven architectures (Kafka/Event Hub).
- Familiarity with observability tools (Prometheus, Grafana, ELK) and resiliency patterns (circuit breakers, chaos engineering).
- Strong proficiency with Python and ML frameworks
- Exceptional leadership, cross-collaboration, communication, and stakeholder management skills.
- Advanced degree in Computer Science.