AI Engineer

Role : AI Engineer

Location: Pittsburgh, PA

Duration: Full-time

MOI : Telephonic & Skype

Primary Skills: Copilot AI, Snowflake AI, GitHub AI, AWS Bedrock

Need Candidates only with a Minimum of 9 Years of Experience. This is a full-time hire by the client and 100% Onsite.

Candidates must have Financial Experience.

Job Description:

The AI Engineer will be responsible for designing, building, deploying, certifying, and maintaining production-grade generative AI and agentic business and technology solutions.

Primary Success Factors:

• Advance the organization s AI strategy with a strong emphasis on identifying high- value opportunities, defining technical roadmaps, prioritizing use cases, and advocating for responsible, extensible, and scalable IA adoption across the Bank.
• Collaborate with business and IT stakeholders to deeply understand current state processes and workflows to deliver AI-powered solutions that deliver high-impact solutions, driving measurable operational efficiency and transformation.
• Lead the full-stack end-to-end development of custom AI solutions leveraging knowledge of MLOps, context management, and CI/CD practices to orchestrate AI agents and technology (e.g., Copilot AI, Snowflake AI, GitHub AI, AWS Bedrock, etc).
• Design, create, and implement reusable AI frameworks, prompt templates, reference architectures, and reference architectures to accelerate AI solution delivery across teams.
• Support the model evaluation, testing, and certification process: red-teaming, bias/fairness testing, accuracy benchmarking, hallucination detection, content safety filtering, and production readiness sign-off in regulated environments.
• Establish and enforce responsible AI governance practices, including aligning with the NIST AI Risk Management Framework.
• Collaborate with cloud, data, and security architecture teams to build secure, extensible solutions
• Stay current with the latest capabilities in current and emerging AI agentic technology and frameworks.
• Experiment with alternative AI models and enhance the Bank s overall AI technology capabilities.
• Guide feasibility, risks, and expected business impacts of AI initiatives.
• Evaluate third-party applications AI capabilities to ensure the usage is aligned with the Bank s risk appetite.
• Draft clear documentation for AI models, data flows, AI solutions, APIs, and operational procedures.