Position: AI Engineer
Location: Pittsburgh PA
Summary: The AI Engineer will be responsible for designing building deploying certifying and maintaining production-grade generative AI and agentic business and technology solutions.
Required:
- 10 years of overall experience in software engineering data science or related technical roles with strong proficiency in coding business and system design and production deployment.
- A minimum of 1-2 years of hands-on experience building and deploying generative AI solutions in enterprise environments
- Bachelors degree in Artificial Intelligence Data Science or related field or an equivalent combination of education and work experience
- Industry certification preferred
- Proficient in backend development using AI algorithms. Python Java Shell Linux or MCP APIs knowledge graphs vector databases & data structures
- Demonstrated knowledge of MLOps model lifecycle and (CI/CD) practices.
- Designed and implemented full-stack AI solutions using modern MLOps and AI frameworks (e.g RAG) and platforms such as GitHub Agent Snowflake agents Copilot Studio and AWS Bedrock.
- Created reusable frameworks prompt templates and reference architectures to accelerate AI solution delivery across teams.
- Knowledge of Bank business applications is a plus
- Knowledge of data query analysis and scanning tools and techniques
- Strong interpersonal written and oral communication and analytical skills
- Ability to manage multiple priorities work independently coordinate work assignments with management throughout the organization and reliably meet commitments
- Strong aptitude for technology and an ability to learn quickly
Position: AI Engineer Location: Pittsburgh PA Summary: The AI Engineer will be responsible for designing building deploying certifying and maintaining production-grade generative AI and agentic business and technology solutions. Required: 10 years of overall experience in software engineerin...
Position: AI Engineer
Location: Pittsburgh PA
Summary: The AI Engineer will be responsible for designing building deploying certifying and maintaining production-grade generative AI and agentic business and technology solutions.
Required:
- 10 years of overall experience in software engineering data science or related technical roles with strong proficiency in coding business and system design and production deployment.
- A minimum of 1-2 years of hands-on experience building and deploying generative AI solutions in enterprise environments
- Bachelors degree in Artificial Intelligence Data Science or related field or an equivalent combination of education and work experience
- Industry certification preferred
- Proficient in backend development using AI algorithms. Python Java Shell Linux or MCP APIs knowledge graphs vector databases & data structures
- Demonstrated knowledge of MLOps model lifecycle and (CI/CD) practices.
- Designed and implemented full-stack AI solutions using modern MLOps and AI frameworks (e.g RAG) and platforms such as GitHub Agent Snowflake agents Copilot Studio and AWS Bedrock.
- Created reusable frameworks prompt templates and reference architectures to accelerate AI solution delivery across teams.
- Knowledge of Bank business applications is a plus
- Knowledge of data query analysis and scanning tools and techniques
- Strong interpersonal written and oral communication and analytical skills
- Ability to manage multiple priorities work independently coordinate work assignments with management throughout the organization and reliably meet commitments
- Strong aptitude for technology and an ability to learn quickly
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