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About the Role

A leading financial services client is building its enterprise GenAI capability. This role involves designing, building, testing, and operating production capabilities, leveraging GenAI in engineering workflows, and working within the bank's SDLC and security standards. Engineers will partner across various teams and participate in support rotations.

Responsibilities

• Design, build, test, and operate production capabilities hands-on, with documentation and evidence by default
• Leverage GenAI capabilities in your own engineering workflow — coding assistants, agent-based automation, AI-assisted testing and debugging — to accelerate delivery, including SDLC automation opportunities
• Work within the bank's SDLC gates, security standards, and separation-of-duties model, producing artifacts and evidence for each gate
• Partner across governance, architecture, cybersecurity, and application teams; communicate clearly with technical and business audiences
• Pair for capability transfer between FTEs and contractor counterparts so knowledge stays when engagements end
• Participate in support rotations for live workloads with incident triage and root-cause discipline

Requirements

• Associate's + 7 years or Bachelor's + 5 years of systems analysis/application development experience (or combined 9 years) for SE III
• Associate's + 5 years or Bachelor's + 3 years equivalent experience (or combined 7 years) for SE II
• Strong software engineering fundamentals — architecture, API design, integration patterns, secure coding, testing, CI/CD, and operational support
• Hands-on experience with GenAI models and AI-assisted development workflows (coding assistants, prompt engineering, RAG/context engineering, or agent-based automation)
• Hands-on Azure experience relevant to the target track (APIM, Entra ID, Key Vault, Azure AI services including Azure AI Foundry, Azure Monitor, IaC tooling)
• Experience delivering and operating production systems in a controlled-change environment
• Strong communication, collaboration, documentation, and stakeholder engagement skills
• Demonstrated depth in one or more engineering tracks
• Financial services or other highly regulated industry experience; familiarity with audit-evidence expectations
• Experience with GitLab Duo, Azure AI Foundry, Copilot Studio, Dynatrace, Delphix, or comparable track-relevant tooling
• Certifications or demonstrated training in cloud engineering, AI engineering, DevOps, SRE, or related disciplines

Skills

• GenAI models
• AI-assisted development workflows
• Coding assistants
• Prompt engineering
• RAG/context engineering
• Agent-based automation
• Azure
• APIM
• Entra ID
• Key Vault
• Azure AI services
• Azure AI Foundry
• Azure Monitor
• IaC tooling
• AWS Bedrock
• Google Vertex
• API design
• Integration patterns
• Secure coding
• Testing
• CI/CD
• Operational support
• GitLab Duo
• Copilot Studio
• Dynatrace
• Delphix
• Cloud engineering
• AI engineering
• DevOps
• SRE

Location

• Remote within the USA
• Onsite in Buffalo, NY
• Onsite in Wilmington, DE

Work Type

• Remote
• Onsite
• Contract
• Full-time

Experience Level

• Associate's + 7 years or Bachelor's + 5 years of systems analysis/application development experience (or combined 9 years)
• Associate's + 5 years or Bachelor's + 3 years equivalent experience (or combined 7 years)

Education Level

• Associate's degree
• Bachelor's degree

About the Company

• Glint Tech Solutions is a women-owned, global IT staffing and recruiting firm serving enterprise clients across the USA and Canada.