Technology and Data - Software Engineer 4 - Contingent

Introduction

In this contingent resource assignment, you may consult on complex initiatives with broad impact and large-scale planning for Software Engineering. Review and analyze complex multi-faceted, larger scale or longer-term Software Engineering challenges that require in-depth evaluation of multiple factors including intangibles or unprecedented factors. Contribute to the resolution of complex and multi-faceted situations requiring solid understanding of the function, policies, procedures, and compliance requirements that meet deliverables. Strategically collaborate and consult with client personnel.

Required Skills & Qualifications

• 5 years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
• 2 years of strong understanding of multi-cloud environments (Azure, GCP, OpenShift) and hands-on experience with cloud-native development and/or Cloud migration of applications
• 1 year knowledge of retrieval-augmented generation (RAG) and/or agentic workflows in generative AI applications
• Prior work experience at client or in client's Industry

Applicants must be able to work directly for Artech on W2

Preferred Skills & Qualifications

• Proficiency in DevOps tools and practices, including infrastructure as code
• Strong experience collaborating with product and business stakeholders to deliver valuable and user-centric solutions
• Financial industry experience or familiarity with regulatory and compliance requirements
• Demonstrated ability to balance technical excellence with business priorities
• Expertise in test-driven development methodologies
• Cybersecurity and Risk Mindset: proactively identifies risks and integrates secure practices into development workflows
• End-user experience focused: delivers intuitive, valuable solutions that align with employee needs
• Mission-aligned: shares the company's vision of transforming the employee experience through generative AI

Day-to-Day Responsibilities

• Accelerate business use cases via Agentic AI with focus on using frameworks like Agent Development Kit (ADK) and LangChain
• Have strong background in MLOps and LLMOps
• Ensure adherence to the Banking Platform Architecture and meeting non-functional requirements with each release
• Engage with architects and experienced engineers to incorporate the company's Technology technical strategies, while understanding next generation domain architectures to enable application migration paths to target architecture
• Identify and recommend opportunities for driving resolution of technology roadblocks including code, build and deployment while also managing overall software development cycle and security standards
• Conduct peer reviews to evaluate quality and solution alignment to technical direction
• Interpret, develop, and ensure security, stability, and scalability within functions of technology with low to moderate complexity, as well as identify, manage and mitigate technology and enterprise risk
• Influence technology requirements and priorities in the product roadmaps

Company Benefits & Culture

• Competitive salary and benefits package
• Innovative and collaborative work environment
• Opportunities for professional growth and development

For immediate consideration please click APPLY to begin the screening process with Alex.