Senior Software Engineer

CSC Leasing Co.•Richmond, VA

just now•Hybrid

About The Position

As a Senior Software Engineer, you will play a pivotal role in designing, developing, and maintaining CSC’s enterprise technology stack with a strong emphasis on leveraging AI tools, agentic frameworks, and AI-augmented development practices to accelerate delivery and elevate our products. You will collaborate with cross-functional teams, translate business requirements into scalable solutions, and drive the technical direction across our cloud native applications. You will be a driving force in embedding AI capabilities into both how we build software and what we deliver to clients. This role requires technical expertise, leadership skills, and a forward-thinking mindset, along with the curiosity and adaptability to stay at the forefront of a rapidly evolving AI landscape, to deliver high-quality solutions that advance CSC’s innovation strategy.

Requirements

Bachelor’s degree in Computer Science, Information Systems, or related field (or equivalent experience).
5+ years of cloud native software application development.
Proficiency in different programming languages (Node, Golang, C#, Python, etc.).
Hands-on experience building or integrating AI/ML-powered features into production applications (e.g., LLM APIs, agentic frameworks, retrieval-augmented generation).
Experience with AWS services and cloud-native architecture patterns.
Experience in enterprise-wide architecture, integrations, and process improvement initiatives.
Strong analytical, problem-solving, and communication skills.
Demonstrated ability to independently manage multiple complex initiatives in a fast-paced environment.
Proven ability to translate complex technical concepts, including AI capabilities and limitations, into accessible language for non-technical stakeholders.

Nice To Haves

Experience with DevOps practices, CI/CD pipelines, and AI-augmented development tooling.
Familiarity with data engineering, analytics, visualization tools, and data pipelines that support AI workloads.
Working knowledge of LLMs, prompt engineering, agentic patterns, RAG, and AI orchestration frameworks.
Strong curiosity and initiative in evaluating emerging AI tools and applying them to real-world business challenges.
Willing to experiment, prototype, and iterate quickly as AI capabilities evolve.

Responsibilities

Design, develop, and maintain scalable solutions across Cloudflare and AWS using AI-augmented development workflows (e.g., AI-powered IDEs, code generation, and automated testing tools).
Build, test, and deploy AI-powered applications, agentic workflows, and LLM-based tools that enhance CSC’s operations and client-facing products.
Implement advanced automation, intelligent customizations, and AI-driven process orchestration aligned with best practices.
Architect and develop integrations between our systems, leveraging AI agents and middleware to ensure data accuracy and synchronization.
Design and maintain data models, migrations, and transformation strategies that support AI/ML workloads and analytics pipelines.
Evaluate, integrate, and operationalize AI tools and agentic frameworks (e.g., MCP servers, LLM-based agents, retrieval-augmented generation) into CSC’s product offerings and internal workflows.
Design and build autonomous and semi-autonomous AI agents that can reason, plan, and execute multi-step tasks across CSC’s platform ecosystem.
Establish patterns and guardrails for responsible AI usage, including prompt engineering standards, model evaluation practices, and human-in-the-loop review processes.
Serve as a technical authority on AI-assisted engineering practices, setting the direction for how the team adopts and scales these capabilities.
Implement and manage security controls, profiles, and permission sets – including governance frameworks for AI-generated outputs and agentic system actions.
Ensure compliance with CSC’s internal policies, relevant industry regulations, and emerging AI-specific standards.
Mentor and guide junior and mid-level developers, fostering AI fluency and effective use of AI-assisted development tools across the engineering team.
Drive technical decision-making and provide architectural guidance on complex, cross-system initiatives.
Collaborate with cross-functional stakeholders to design solutions that balance technical soundness, business needs, and strategic AI adoption.
Own the full software development lifecycle – from requirements and testing to deployment and documentation – using AI tools to streamline each phase.
Diagnose and resolve performance bottlenecks across systems, including AI inference latency, token costs, and agent reliability.
Establish and enforce coding standards, best practices, and scalable frameworks that account for AI-generated code review and quality assurance.
Stay current with AWS products, AI/ML advancements, agentic engineering patterns, and the rapidly evolving landscape of AI development tools.
Propose and champion new AI-driven approaches that improve efficiency, scalability, and user experience across CSC’s products and internal operations.