Senior AI Engineer

We’re always looking for diverse, talented, service-oriented people to join our exceptional team.

Pay Range: $ - $

Scheduled Weekly

Hours:

40

• Designs, develops and supports AI-enabled workflows and solutions, automation and agentic solutions by translating business requirements into scalable technical capabilities, building integrations and workflows, implementing governance and testing standards and supporting successful deployment and operational adoption.
• Evaluates and builds proofs of concept for AI-enabled workflows and solutions, automation and agentic solutions, translating business requirements into scalable technical capabilities.
• Designs, configures and implements AI and automation solutions including agents, prompts, retrieval-augmented generation (RAG), human-in-the-loop controls, tools and integrations across stand-alone and RPA workflows using approved platforms and adhering to enterprise architecture, security, data-validation and engineering standards.
• Develops and executes the enterprise AI and automation roadmap aligned with organizational objectives, leading automation initiatives through the full solution lifecycle from discovery, requirements gathering, design, development, testing, deployment, and ongoing support, while documenting reusable components, implementation patterns and lessons learned.
• Develops and maintains production-ready code, configurations and technical documentation while applying established engineering, version control, peer review and change management practices.
• Develops test strategies, evaluation datasets and automated validation frameworks to ensure accuracy, reliability, performance, resilience and responsible use of AI and automation solutions.
• Implements approved AI and automation security, data access, identity and governance controls in partnership with Architecture, Information Security and Data teams, ensuring automation and AI solutions are scalable, secure, maintainable, and compliant with organizational standards.
• Establishes monitoring, logging, alerting and operational support processes, including dashboards, runbooks, incident procedures and production support activities.
• Supports pilots, production readiness reviews, deployments and post-release validation to ensure successful implementation and operational adoption.
• Evaluates AI-enabled workflows/solutions, automation and agentic technologies through technical proofs of value and provides recommendations on platform, vendor and solution approaches.
• Mentors less-experienced team members, participates in technical reviews and promotes engineering best practices that improve solution quality, consistency and delivery effectiveness.

Performs other duties as assigned.

Complies with regulatory compliance and assigned training requirements including but not limited to BSA regulations corresponding to their specific job duties.

Failure to do so may result in disciplinary and other employment related actions.

• High School Diploma or GED required
• Bachelor's Degree in a related field or equivalent years of experience required
• 5-7 years of prior relevant experience required
• Microsoft Certified:
  Azure Solutions Architect Expert preferred
• Microsoft Certified:
  Agentic AI Business Solutions Architect Expert (AB-100 or equivalent) preferred
• UiPath Automation Solution Architect Professional / Agentic Automation Professional preferred
• AWS Solutions Architect Professional and/or AWS Certified Generative AI Developer – Professional preferred

• Demonstrated experience in one or more of the following areas: traditional artificial intelligence (AI), machine learning (ML), generative AI and agentic AI, including knowledge of core concepts, hands-on development, implementation and production deployment.
• Advanced knowledge of intelligent automation and robotic process automation (RPA) platforms.
• Experience with Microsoft Power Platform, Power Automate, UiPath, Automation Anywhere or similar workflow automation, low-code and agent framework technologies.
• Knowledge of generative AI, large language models (LLMs), prompt engineering, retrieval-augmented generation (RAG), tool calling, agent workflows and AI-enabled workflow design.
• Experience with AI platforms such as Azure AI Services, Azure OpenAI, Copilot Studio, AWS AI/ML or Google AI technologies.
• Proficiency in Python, SQL, APIs, authentication, data integration, enterprise applications and systems…