Senior AI Engineer

About the role

We’re passionate about designing and delivering top-notch digital experiences for our clients — and their customers — and helping them create efficiencies using data and technology. But what’s most important about us is that we have a diverse team of experts all dedicated to getting clients from goals to outcomes — and that’s where you come in.

This is a on-site position. Will need to work 5 days a week in offices located in Pittsburgh, PA.

Qualifications:

Strong software development and engineering skills, with proficiency in one or more modern languages (e.g., C#/.NET, Python, JavaScript/TypeScript)

Hands-on experience building and deploying AI/ML solutions, LLM-based applications, or intelligent automation in production environments

Demonstrated 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

Preferred Qualifications:

Experience in the banking, fintech, or financial services industry

Knowledge of prompt engineering, RAG (Retrieval-Augmented Generation), and LLM orchestration frameworks (e.g., LangChain, Semantic Kernel)

Familiarity with MLOps, model risk management, and responsible AI governance

Experience with containerization and orchestration (Docker, Kubernetes)

Relevant certifications (e.g., Azure AI Engineer, AWS Machine Learning, Microsoft Certified: Azure Developer)

Understanding of banking regulations and compliance standards (PCI-DSS, SOX, AML/KYC, GDPR)

Key Responsibilities:

Development & Engineering

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 (e.g., GitHub Copilot, Cursor, Claude, LLM-based coding assistants) 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.

AI Strategy & Leadership

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.

Governance, Risk & Compliance

Ensure all solutions meet security, privacy, regulatory, and compliance standards (e.g., PCI-DSS, SOX, GDPR, AML/KYC, model risk management).

Establish and follow responsible AI practices, including bias mitigation, explainability, data protection, and access controls.

Document architectures, workflows, processes, and outcomes to support audit, compliance, and operational transparency.

Perform other related duties and projects as assigned.

More about G2O:

We’re different than other companies at G2O. We blend the research and design, technology, and data expertise to deliver the solutions our clients crave — and we do all of this as one in-house team, from vision to execution. We’re also the largest company of our kind based in Ohio to do this — and have been evolving how we do it for 40 years.

Individually, we bring a wealth of experience from diverse backgrounds — personally and in business. We’re a diverse and passionate team of leaders and experts in technology, data analytics, design, content, and more. But we think we’re best when we put our minds together. Each person brings something distinct to our team — some unique flavor to their background or their experience. That makes for stronger collaboration — and elevates the outcomes for our clients.

Are you ready to collaborate to greatness with us?

Learn more at G2O.com/careers