Artificial Intelligence Engineer

My name is Sachin Gupta, and I’m a recruiter with Reqroute Inc.

We are actively seeking talented professionals to support our client’s staffing needs and I wanted to reach out regarding an opportunity that may be of interest to you.

If you are open to exploring new opportunities, please feel free to contact me at 1 (408) 300-9060 or share your updated resume along with your availability for a discussion.

If you are not currently in the job market, I would appreciate it if you could refer someone in your network who might be a good fit.

Please reply with updated word formatted resume along with below details

FULL TIME ROLE

Onsite Monday – Thursday (Remote only on Friday)

Position Title: Sr. AI Developer/Architect

Location: 600 E. Las Colinas Blvd Irving TX 75039

Duration: Full Time

Position Type- Full Time

Exp Level- 10 Years

Skills: AI/ML Solutions, MS Stack, Azure, Azure Data Factory, MS Fabric (Microsoft Fabric), Python, MLOps, CI/CD, Leadership skills, Go-getter, Azure OpenAI Service, Azure Machine Learning (Azure ML), Azure Data Factory (ADF), Python, AI/ML Deployment & MLOps, Kubernetes/AKS, CI/CD Automation, Infrastructure as Code (Terraform / Bicep), LLM, Claude Code

Job Description

• Microsoft Azure AI & Cloud Services
• Azure OpenAI Service
• Azure Machine Learning (Azure ML)
• Microsoft Fabric
• Azure Data Factory (ADF)
• Python
• AI/ML Deployment & MLOps
• Kubernetes / AKS
• GPU Workloads
• Cloud Security & Governance
• CI/CD Automation
• Infrastructure as Code (Terraform / Bicep)

Skills Matrix

• Number of year experience in Microsoft Azure AI & Cloud Services?
• Number of year experience in OpenAI?
• Number of year experience in Azure Machine Learning (Azure ML)?
• Number of year experience in Microsoft Fabric?
• Number of year experience in Azure Data Factory (ADF)?
• Number of years experience in Azure Cloud?
• Number of year experience in Python?
• Number of year experience in AI/ML Deployment & MLOps?
• Number of year experience in LLM?
• Number of years experience in Claude Code?
• Number of year experience in building and deploying machine learning or AI solutions in production?
• Number of year experience in Python and ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn)?
• Number of year experience in LLM ecosystems (OpenAI APIs, Hugging Face, LangChain, vector databases)?
• Number of year experience in data engineering fundamentals?
• Ability to communicate complex technical ideas clearly and confidently?
• Number of year experience in working directly with business stakeholders?
• This role is ideal for a hands-on cloud AI engineer with deep expertise designing, deploying, securing, and optimizing enterprise AI platforms in Microsoft Azure environments.
• The ideal candidate will possess strong experience with Azure AI services, cloud-native AI architecture, MLOps, scalable deployment patterns, and enterprise-grade security and governance.

Top Skills

• Microsoft Azure AI & Cloud Services
• Azure OpenAI Service
• Azure Machine Learning (Azure ML)
• Microsoft Fabric
• Azure Data Factory (ADF)
• Python
• AI/ML Deployment & MLOps
• Kubernetes / AKS
• GPU Workloads
• Cloud Security & Governance
• CI/CD Automation
• Infrastructure as Code (Terraform / Bicep)

Key Responsibilities

AI Platform Architecture & Deployment

• Design, build, and deploy scalable AI/ML platforms in Microsoft Azure.
• Implement enterprise AI solutions using Azure OpenAI, Azure ML, Azure AI Services, and Microsoft Fabric.
• Architect end-to-end AI pipelines from data ingestion and preprocessing through model deployment, monitoring, and retraining.
• Deploy GPU-intensive AI workloads using Azure Kubernetes Service (AKS), Azure VM Scale Sets, or containerized cloud environments.
• Design highly available and fault-tolerant AI infrastructure supporting enterprise-scale workloads.

AI Engineering & Cloud Integration

• Integrate AI solutions with Azure Data Factory, Azure Synapse, Microsoft Fabric, Databricks, and enterprise data platforms.
• Build MLOps pipelines for automated training, testing, deployment, and model lifecycle management.
• Implement CI/CD pipelines for AI solutions using Azure DevOps or GitHub Actions.
• Develop APIs and scalable inference endpoints for AI applications and LLM-powered solutions.

Security, Governance & Optimization

• Implement enterprise-grade security controls for AI workloads including RBAC, Managed Identities, Key Vault, Private Endpoints, and network isolation.
• Ensure compliance with governance, data privacy, and responsible AI standards.
• Optimize AI cloud infrastructure for performance, scalability, and cost efficiency.
• Monitor AI workloads for latency, utilization, drift detection, and operational reliability.

Collaboration & Leadership

• Partner with business stakeholders, architects, data engineers, and DevOps teams to deliver AI-driven business solutions.
• Provide technical leadership on cloud AI architecture and deployment best practices.
• Evaluate emerging AI cloud technologies and recommend scalable enterprise solutions.

Required Qualifications

• 5 years of experience in Azure cloud engineering, AI deployment, or ML platform engineering.
• Hands-on experience with Azure Machine Learning, Azure OpenAI, Azure AI Services, and Microsoft Fabric.
• Strong experience deploying AI/ML models into production cloud environments.
• Experience with Kubernetes, Docker, and scalable GPU-based deployments.
• Strong understanding of cloud networking, identity management, and security architecture.
• Experience implementing MLOps and CI/CD pipelines for AI systems.
• Strong Python scripting and automation skills.
• Experience with Infrastructure as Code tools such as Terraform, ARM Templates, or Bicep.

70% – Hands-On AI Development & Engineering

• Design, build, and deploy scalable AI/ML solutions (predictive models, generative AI, NLP, optimization, automation)
• Architect production-ready pipelines from data ingestion through model monitoring
• Develop and fine-tune LLM-based applications (RAG architectures, prompt engineering, agents, copilots)
• Write high-quality, production-grade code (Python required; additional languages a plus)
• Implement MLOps best practices (CI/CD, model versioning, monitoring, drift detection)
• Work across cloud platform (Azure) to deploy secure, enterprise-grade solutions
• Ensure governance, security, explainability, and responsible AI principles are embedded in every solution
• Optimize performance, scalability, and cost-efficiency of AI workloads

30% – Business Partnership & Solution Leadership

• Translate ambiguous business problems into structured AI solution designs
• Partner with business stakeholders (Finance, Operations, Sales, Marketing, IT) to identify high-value use cases
• Clearly explain AI concepts, tradeoffs, and model outputs to non-technical audiences
• Lead solution design workshops and whiteboarding sessions
• Quantify expected ROI and define measurable success metrics
• Influence prioritization of AI initiatives based on business value and feasibility
• Mentor junior developers and help elevate AI literacy across the organization

What Success Looks Like

• AI solutions deployed into production that generate measurable business impact
• Reduced time-to-value from idea to implementation
• Business leaders who trust and understand the AI solutions being delivered
• Scalable architecture that enables repeatable AI delivery across functions

Required Qualifications

• 7 years of software development experience
• 3 years building and deploying machine learning or AI solutions in production
• Strong proficiency in Python and ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn)
• Experience with LLM ecosystems (OpenAI APIs, Hugging Face, LangChain, vector databases)
• Solid understanding of data engineering fundamentals
• Ability to communicate complex technical ideas clearly and confidently

Demonstrated experience working directly with business stakeholders