Senior AI ML Engineer

Job Title: Senior AI/ML Engineer

Location: Irving, Texas, USA

Job Type: Full-Time (FTE)

Job Description


We are seeking an experienced Senior AI/ML Engineer to design, develop, and deploy enterprise-scale AI and Machine Learning solutions. The ideal candidate will have strong expertise in Databricks, Azure AI Foundry, Applied AI, ML Engineering, Large Language Models (LLMs), RAG, Agentic AI, and MLOps . This role requires leading the complete AI lifecycle from experimentation through production deployment while delivering scalable, secure, and high-performing AI solutions in cloud environments.

Key Responsibilities

• Design, develop, and deploy end-to-end AI/ML solutions for enterprise applications.
• Lead the complete AI lifecycle, including experimentation, model development, deployment, monitoring, and continuous improvement.
• Build, optimize, and deploy predictive machine learning models and LLM-powered RAG (Retrieval-Augmented Generation) and Agentic AI solutions.
• Translate business requirements into AI-driven solutions, measurable KPIs, and scalable architectures.
• Design and implement vector databases, embeddings, semantic search, and orchestration frameworks.
• Develop scalable APIs and model-serving solutions using FastAPI, MLflow, and related technologies.
• Optimize AI models for performance, scalability, latency, reliability, and cost efficiency.
• Implement CI/CD pipelines, containerized deployments, and cloud-native AI solutions.
• Establish MLOps practices, including model monitoring, drift detection, retraining, versioning, and lifecycle management.
• Evaluate AI model performance using automated testing and human-in-the-loop validation techniques.
• Ensure Responsible AI, governance, security, compliance, and enterprise best practices.
• Collaborate with business stakeholders, architects, data engineers, and product teams to deliver AI initiatives.
• Mentor junior engineers and provide technical leadership across AI/ML projects.

Required Skills & Experience

• Strong hands-on experience with Databricks and Azure AI Foundry .
• Expertise in Machine Learning Engineering and Applied AI.
• Experience deploying production-grade AI/ML solutions.
• Strong knowledge of Retrieval-Augmented Generation (RAG) and Agentic AI architectures.
• Proficiency in Python programming.
• Experience with FastAPI, MLflow, or similar model-serving frameworks.
• Hands-on experience with vector databases, embeddings, and semantic search.
• Experience using LangChain, LlamaIndex, or similar AI orchestration frameworks.
• Strong understanding of CI/CD pipelines, containerization (Docker/Kubernetes), and cloud deployment.
• Experience with predictive machine learning models and AI evaluation methodologies.
• Knowledge of MLOps, model monitoring, drift detection, retraining, and lifecycle management is preferred.
• Experience working in regulated or high-compliance environments is preferred.
• Excellent analytical, problem-solving, communication, and stakeholder management skills.

Technical Skills

• Databricks
• Azure AI Foundry
• Python
• Machine Learning
• Applied AI
• Large Language Models (LLMs)
• Retrieval-Augmented Generation (RAG)
• Agentic AI
• FastAPI
• MLflow
• LangChain
• LlamaIndex
• Vector Databases
• Embeddings
• CI/CD
• Docker
• Kubernetes
• Cloud Deployment
• MLOps
• Model Monitoring
• Drift Detection
• AI Governance

Managerial Skills

• Technical Leadership
• Mentoring & Coaching
• Cross-functional Collaboration
• Solution Architecture
• Ownership & Accountability
• Innovation & Continuous Learning
• Responsible AI Governance

Primary Skills (PS)


Databricks, Azure AI Foundry, Python, RAG, Agentic AI, FastAPI, MLflow, LangChain, LlamaIndex, MLOps.