Software Engineer Sr- AI Agents / Generative AI
PNC•Strongsville, OH
•$86,250 - $158,125•Onsite
About The Position
As a Software Engineer Sr, you will design, develop, and deploy advanced AI agents and Generative AI applications that automate complex workflows and enhance productivity across the organization. You will partner closely with data scientists, data engineers, architects, and business stakeholders to deliver scalable AI solutions capable of solving real-world business problems. This role will focus on building agentic AI systems that leverage large language models (LLMs), agent orchestration frameworks, enterprise data platforms, and API-based integrations. In addition to solution development, you will oversee production AI systems, establish monitoring and observability standards, analyze telemetry and performance metrics, and drive continuous improvement initiatives. You will act as a technical leader and subject matter expert within the team, helping guide architectural decisions and mentoring fellow engineers.
Requirements
- Software engineering experience, including experience delivering complex technology solutions.
- Advanced proficiency in Python development.
- Experience designing and deploying Generative AI, machine learning, or LLM-based applications in production environments.
- Hands-on experience with agent orchestration frameworks such as LangGraph and/or LangChain.
- Experience developing and integrating REST APIs and distributed services.
- Experience implementing AI tools and integrations utilizing Model Context Protocol (MCP) or similar AI integration frameworks.
- Experience supporting production systems and driving operational excellence through monitoring, telemetry, and observability practices.
- Strong understanding of software architecture, design patterns, and scalable application development.
- Demonstrated ability to lead technical initiatives and influence engineering direction.
- Experience building agentic AI systems, autonomous workflows, or multi-agent architectures.
- Experience developing solutions utilizing PySpark and modern data engineering platforms.
- Knowledge of Retrieval-Augmented Generation (RAG), vector databases, prompt engineering, and AI application architecture.
- Experience with cloud-based AI and data platforms.
- Experience implementing AI observability, evaluation frameworks, and performance monitoring solutions.
- Familiarity with MLOps, LLMOps, and AI governance frameworks.
- Experience working within large enterprise environments.
- University / college degree, with 3+ years of relevant / direct industry experience. Certifications are often desired. In lieu of a degree, a comparable combination of education, job specific certification(s), and experience (including military service) may be considered.
- Bachelors
Nice To Haves
- Financial services industry experience is preferred.
Responsibilities
- Design, develop, deploy, and support enterprise-scale AI agents and GenAI applications.
- Lead the architecture and implementation of agentic AI solutions using frameworks such as LangGraph and LangChain.
- Develop scalable software solutions that integrate LLMs, internal systems, data platforms, and external services.
- Build and maintain API-driven integrations utilizing REST services and Model Context Protocol (MCP) implementations.
- Design AI-powered automation solutions that improve business processes and data engineering workflows.
- Partner with data scientists to operationalize AI solutions and measure business impact through performance metrics and business outcomes.
- Establish best practices for AI application development, deployment, monitoring, and lifecycle management.
- Utilize observability and telemetry data to evaluate AI agent performance, identify optimization opportunities, and enhance solution reliability.
- Troubleshoot and resolve complex production issues while ensuring platform stability and scalability.
- Lead code reviews, mentor junior engineers, and contribute to technical standards across the team.
- Collaborate with architecture, security, and governance teams to ensure AI solutions meet enterprise standards and regulatory requirements.
- Evaluate emerging technologies and recommend innovative approaches to advance the organization's AI capabilities.
- Provides detailed technical design and development of software solutions using existing and emerging technology platforms.
- Proposes & designs software solutions to address complex business needs.
- Writes code, tests and deploys software.
- Prepares technical and procedural documentation required for software.
- Maintains and debugs software.
Benefits
- medical/prescription drug coverage (with a Health Savings Account feature)
- dental and vision options
- employee and spouse/child life insurance
- short and long-term disability protection
- 401(k) with PNC match
- pension and stock purchase plans
- dependent care reimbursement account
- back-up child/elder care
- adoption, surrogacy, and doula reimbursement
- educational assistance, including select programs fully paid
- a robust wellness program with financial incentives
- maternity and/or parental leave
- up to 11 paid holidays each year
- 9 occasional absence days each year, unless otherwise required by law
- between 15 to 25 vacation days each year, depending on career level; and years of service
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What This Job Offers
Job Type
Full-time
Career Level
Senior
