Senior AI Engineer — Enterprise AI & Automation (Pittsburgh)

G2O; Pittsburgh (Allegheny County); On-site; USD 120,000 - 180,000; Full time

Job summary

G2O in Pittsburgh is seeking a hands-on AI/ML engineer to design, build, test and deploy AI-enabled applications and automated workflows in production. This on-site role requires collaborating with cross-functional teams to translate requirements into scalable AI-driven solutions.

You will lead, mentor and guide teams on AI adoption, develop RESTful APIs and data pipelines, and ensure governance and security standards. Strong Python/SQL, cloud familiarity, and clear communication are essential.

Qualifications

• Hands-on experience building and deploying AI/ML solutions in production environments.
• Ability to use AI-assisted development tools to design and write code efficiently.
• Experience leading, mentoring, and guiding teams or organizations on AI adoption and implementation strategy.
• Strong proficiency with SQL and Python for data manipulation, scripting, and automation.
• Experience with enterprise AI and automation platforms (RPA, workflow orchestration, ML services, cloud AI tooling).
• Solid understanding of API development, microservices, and system integration.
• Familiarity with cloud platforms (Azure, AWS, or GCP) and CI/CD pipelines.
• Detail-oriented with excellent organizational, analytical, and interpersonal skills.
• Ability to work and multi-task in a fast-paced environment.
• Excellent communication skills, both written and verbal, with the ability to translate technical concepts for non-technical audiences.

Responsibilities

• Design, build, test, and deploy AI-enabled applications and automated workflows using modern programming languages, frameworks, and AI/ML tooling.
• Develop production-grade code leveraging AI-assisted development tools to accelerate delivery, improve quality, and drive engineering efficiency.
• Build and integrate RESTful APIs, microservices, and data pipelines to connect AI models, automation platforms, and core banking systems.
• Develop and orchestrate solutions using enterprise AI/automation platforms, including RPA, workflow engines, LLMs, and machine learning services.
• Perform data preparation, transformation, and validation to support model training, prompt engineering, and automation use cases.
• Implement automated testing, monitoring, and observability for AI and automation solutions to ensure reliability and performance in production.
• Lead and guide teams, business units, and the broader organization on how to identify, prioritize, and implement AI and automation opportunities.
• Define and champion an enterprise AI strategy and roadmap, including tooling standards, best practices, and adoption frameworks.
• Provide technical mentorship and direction to analysts and engineers, conducting code reviews and establishing engineering standards for AI-assisted development.
• Partner with product owners, business analysts, and stakeholders to translate banking requirements into scalable AI-driven solutions.
• Lead process mapping and discovery sessions to identify high-value automation and AI use cases and quantify business impact.
• Serve as a subject matter expert and evangelist, educating teams on responsible AI usage, prompt engineering, and emerging AI capabilities.
• Ensure all solutions meet security, privacy, regulatory, and compliance standards.

Skills

AI/ML development

AI-assisted development tools

AI leadership

SQL

Python

Enterprise AI platforms

API/microservices

Cloud platforms

CI/CD pipelines

communication

multitasking

Tools

Docker

Kubernetes

Job description

G2O in Pittsburgh is seeking a hands-on AI/ML engineer to design, build, test and deploy AI-enabled applications and automated workflows in production. This on-site role requires collaborating with cross-functional teams to translate requirements into scalable AI-driven solutions.

You will lead, mentor and guide teams on AI adoption, develop RESTful APIs and data pipelines, and ensure governance and security standards. Strong Python/SQL, cloud familiarity, and clear communication are essential.