- Design, build, and maintain production grade AI and ML solutions across Azure, AWS, and other cloud platforms
- Implement end to end AI application pipelines including data ingestion, prompt engineering, evaluation, deployment, and monitoring
- Collaborate closely with engineering, data, and business teams to translate requirements into practical AI and ML implementations
- Write high quality, scalable, and maintainable code for AI and ML workloads
- Optimize performance, reliability, and cost efficiency of cloud based AI and ML services
- Integrate AI and ML solutions with enterprise data platforms such as data lakes, data warehouses, APIs, and streaming systems
- Support AI solution lifecycle management including versioning, prompt iteration, evaluation, and production support
- Apply security, compliance, and data privacy best practices in all AI and ML implementations
- Contribute to technical design discussions and provide guidance on AI and ML implementation patterns
- Stay current with advancements in AI, ML, and cloud technologies and apply them pragmatically
Requirements
- 5+ years directly applicable experience (e.g., building and deploying AI and ML solutions)
- Hands on experience developing AI and ML solutions on Azure and/or AWS
- Strong proficiency in Python for building and operating LLM-powered applications and agentic workflows
- Experience integrating LLM applications with enterprise data sources, APIs, and retrieval systems (RAG)
- Hands on experience building agentic and LLM-powered applications using frameworks such as LangChain, LangSmith, Pydantic AI, or similar orchestration and observability tooling
- Knowledge of cloud security, governance, and data privacy principles as they relate to AI and ML systems
Core Competencies
Demonstrates expertise in designing and implementing AI and ML solutions on cloud platforms such as Azure and AWS, with a strong focus on performance optimization, security, and compliance. Proficient in Python and experienced in integrating AI applications with enterprise data systems.
Highest-signal resume keywords
- AI And ML Solution Development
- Azure And AWS Experience
- Python Proficiency
- Integration With Enterprise Data Sources
- Cloud Security And Data Privacy Knowledge
ATS Optimization Keywords
Hard Skills
- AI Application Pipeline Implementation
- Prompt Engineering
- Code Optimization
- Data Ingestion
- Performance Monitoring
- Versioning And Iteration Management
- Scalable Code Writing
- Agentic Application Development
- LLM-Powered Application Development
- Cloud-Based AI Services
Soft Skills
- Collaboration
- Technical Design Discussion Contribution
Industry Keywords
- AI And ML Solutions
- Cloud Platforms
- Data Privacy Best Practices
- Compliance Standards
- Governance Principles
Tools & Technologies
- LangChain
- LangSmith
- Pydantic AI
- Data Lakes
- Data Warehouses
- APIs
- Streaming Systems