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Ai Developer Operations Engineer Jobs in Pascagoula, MS

Prophecy Technologies

Senior AI Engineer

Biloxi, MS · On-site

$93K - $127K/yr

The Senior AI Engineer is responsible for designing, developing, and deploying enterprise-grade artificial intelligence solutions, with a strong focus on large language models (LLMs), machine ...

Arcadis

Traffic/ITS Engineer

Mobile, AL · On-site

$86K - $117K/yr

Conducts traffic operational analysis using microscopic simulation software such as VISSIM, Synchro ... Preparing traffic engineering plans for signal designs, signing and markings designs, and ...

Ag

Lead AI Solutions Systems Engineer

Mobile, AL · On-site

Python/Langgraph or ADK (Google Enterprise Agent Platform (formerly Vertex AI) is the strategic agentic platform), RAG (any embedding) * Devops & Cloud: Streamlit / React frontends, PostgreSQL ...

micro1 AI

Senior Database Reliability Engineer

Mobile, AL · Remote

$220K - $260K/yr

... and promote operational excellence across all database environments. • Collaborate cross ... Our AI tools are designed to complement, not replace, human decision-making. Disclaimer The ...

SSAB Group

Controls Engineer (L2)

Mobile, AL · On-site

$82K - $107K/yr

This role is part of the maintenance team and works closely with operations, engineering, environmental, and IT to maintain safe, reliable, and efficient plant operations. Main Responsibilities ...

SSAB

Controls Engineer (L2)

Mobile, AL · On-site

$82K - $107K/yr

This role is part of the maintenance team and works closely with operations, engineering, environmental, and IT to maintain safe, reliable, and efficient plant operations. Main Responsibilities ...

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Ai Developer Operations Engineer information

See Pascagoula, MS salary details

$36.1K

$85.2K

$135.3K

How much do ai developer operations engineer jobs pay per year?

As of Sep 12, 2026, the average yearly pay for ai developer operations engineer in Pascagoula, MS is $85,247.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,700.00 and $94,200.00 per year, depending on experience, location, and employer.

What is the difference between Ai Developer Operations Engineer vs Data Scientist?

AspectAi Developer Operations EngineerData Scientist
Required credentialsBachelor's in CS, Engineering, or related; certifications in cloud or DevOpsBachelor's or higher in Statistics, Math, or CS; often with data analysis certifications
Work environmentDevOps teams, cloud platforms, AI model deploymentData analysis, modeling, research teams
Employer usageTech companies, AI startups, cloud providersResearch institutions, tech firms, finance, healthcare
Search intentAI deployment, operations, automationData analysis, insights, modeling

The Ai Developer Operations Engineer focuses on deploying, maintaining, and automating AI models in production environments, often working closely with DevOps teams. Data Scientists primarily analyze data, build models, and generate insights. While both roles require technical skills, the Operations Engineer emphasizes deployment and system integration, whereas Data Scientists focus on data analysis and modeling.

Ai Developer Operations Engineer jobs near you

Senior AI Engineer

Biloxi, MS • On-site

Prophecy Technologies
Professional, Scientific, and Technical Services • 11 - 50 employees
Learn more about Prophecy Technologiesexternal

$93K - $127K/yr

Full-time

Posted 23 days ago

Key responsibilities

  • Design, develop, and deploy AI/ML solutions, including LLM-powered applications and intelligent automation.

  • Collaborate with Data & Analytics, Product Management, and engineering teams to integrate AI capabilities and translate business problems into AI-driven solutions.

  • Monitor and optimize model performance, cost, latency, and accuracy, ensuring solutions meet security, compliance, and scalability standards.

Job description

Role Overview:
The Senior AI Engineer is responsible for designing, developing, and deploying enterprise-grade artificial intelligence solutions, with a strong focus on large language models (LLMs), machine learning, and applied AI use cases. This role translates complex data and business problems into scalable AI-driven solutions, enabling measurable business value across the organization. The position involves close collaboration with Data & Analytics, Enterprise Applications, Product Management, and business units to deliver capabilities such as intelligent automation, AI-powered member experiences, predictive modeling, and decision support systems. This role is critical in advancing the credit union's AI strategy, ensuring solutions are secure, scalable, and aligned with enterprise governance and regulatory expectations.
Key Responsibilities:
  • Design, develop, and deploy AI/ML solutions, including LLM-powered applications and intelligent automation.
  • Evaluate and integrate leading LLM platforms (e.g., GPT, Claude, Gemini, LLaMA, Mistral).
  • Build and optimize prompt engineering, RAG, and fine-tuning strategies.
  • Develop scalable APIs and AI-enabled services integrated with enterprise systems.
  • Partner with Data & Analytics teams to leverage enterprise data platforms.
  • Implement vector databases, embeddings, and semantic search capabilities.
  • Ensure AI solutions meet enterprise standards for security, compliance, and scalability.
  • Collaborate with Product Managers and engineering teams within pod structures.
  • Monitor and optimize model performance, cost, latency, and accuracy.
  • Stay current with advancements in AI and LLM ecosystems.
  • Act as a technical leader and mentor for AI best practices, promoting responsible and ethical use of AI.
  • Develop end-to-end AI pipelines from ingestion to deployment and build/optimize RAG architectures.
  • Establish monitoring frameworks for model performance and reliability.
  • Translate business problems into AI-driven solutions.

Required Skills:
  • Strong understanding of LLMs, prompt engineering, and model behavior.
  • Experience with ML frameworks such as PyTorch or TensorFlow.
  • Knowledge of RAG architectures and vector search.
  • Experience with APIs, microservices, and distributed systems.
  • Familiarity with MLOps and CI/CD pipelines.
  • Strong programming skills in Python and SQL.
  • Ability to evaluate build vs buy vs integrate decisions.
  • Hands-on experience with multiple LLM platforms and agent-based AI systems.
  • Experience deploying AI solutions in cloud environments and with enterprise data platforms such as Databricks.
  • Experience with RAG and vector databases.
  • Familiarity with LangChain or similar frameworks.
  • Experience working in Agile/Kanban environments.
  • Strong understanding of data privacy and security.
  • Strong problem-solving and communication skills.

Qualifications:
  • 5-8+ years of experience in software engineering or AI development.
  • Bachelor's degree in Computer Science, Data Science, Machine Learning, or related field required.
  • Master's degree preferred.
  • Relevant certifications in AI/ML or cloud platforms preferred.

Preferred Skills:
  • Experience fine-tuning transformer-based models.
  • Familiarity with financial services or credit unions.
  • Experience integrating AI into core banking platforms.
  • Exposure to multi-modal AI.
  • Experience with implementing AI solutions within the financial industry.

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