What are the responsibilities and job description for the Senior AI Developer position at Cognowiz?
Plano TX 75024
Senior AI Developer
Independent Contractors preferred
3 days onsite in Plano, Texas
6 month Contract to Perm –
Video and Onsite
Need Someone With Active LinkedIN and Really Strong Communications
This role is ideal for a hands-on AI engineer who can architect, develop, and deploy enterprise-scale AI and Machine Learning solutions while leveraging Microsoft Fabric, Data Engineering, and modern Generative AI technologies.
The ideal candidate combines deep technical expertise in AI/ML development with strong business acumen and the ability to translate complex business challenges into scalable AI-driven solutions.
Required Skills
- Python Development
- Microsoft Fabric (Data Pipelines, Lakehouse, Semantic Models, Data Factory)
- AI/ML Engineering
- Generative AI & Large Language Models (LLMs)
- PyTorch, TensorFlow, Scikit-learn
- LangChain, OpenAI APIs, Hugging Face
- Retrieval Augmented Generation (RAG)
- AI Agents & Copilot Development
- MLOps, CI/CD, Model Monitoring
- Azure, AWS, or Google Cloud Platform
- Data Engineering & Data Architecture
- SQL and Data Modeling
Key Responsibilities
AI Development & Engineering (70%)
- Design, build, and deploy scalable AI/ML solutions including predictive analytics, generative AI, NLP, intelligent automation, and optimization platforms.
- Develop production-grade AI pipelines using Microsoft Fabric Data Pipelines and Lakehouse architecture.
- Build and maintain Semantic Models that support AI, analytics, and enterprise reporting initiatives.
- Design and implement Retrieval Augmented Generation (RAG) architectures, AI agents, copilots, and LLM-powered applications.
- Fine-tune and deploy machine learning and deep learning models using PyTorch, TensorFlow, and Scikit-learn.
- Develop scalable data ingestion, transformation, and feature engineering pipelines.
- Implement MLOps best practices including CI/CD, model versioning, governance, monitoring, drift detection, and automated retraining.
- Integrate AI solutions with enterprise applications, APIs, and cloud platforms.
- Ensure responsible AI principles including security, compliance, explainability, and governance.
- Optimize AI workloads for scalability, reliability, and cost efficiency.
Business Partnership & Solution Leadership (30%)
- Partner with business stakeholders across Finance, Operations, Sales, Marketing, and IT to identify and prioritize AI opportunities.
- Translate business requirements into scalable AI and data platform solutions.
- Lead solution workshops, technical discovery sessions, and architecture discussions.
- Communicate technical concepts and model outcomes to executive and non-technical audiences.
- Define ROI metrics, business outcomes, and success criteria for AI initiatives.
- Mentor junior developers and promote AI engineering best practices.
Required Qualifications
- 7 years of software development or data engineering experience.
- 3 years building and deploying AI/ML solutions in production environments.
- Strong Python programming expertise.
- Hands-on experience with Microsoft Fabric, including Data Pipelines, Lakehouse, and Semantic Models.
- Experience developing and deploying AI/ML models using PyTorch, TensorFlow, or Scikit-learn.
- Experience with OpenAI APIs, LangChain, Hugging Face, vector databases, and RAG architectures.
- Strong understanding of data engineering, data modeling, and enterprise analytics platforms.
- Experience implementing MLOps and CI/CD practices.
- Experience deploying AI solutions in Azure, AWS, or Google Cloud Platform environments.
- Strong communication and stakeholder engagement skills.