AI & Platform Software Engineer - USA (Remote Role)

Pozent Corporation is building its enterprise GenAI capability across partnered organizations. The AI & Platform Software Engineer will design, build, test, and operate production capabilities while leveraging GenAI in the engineering workflow.

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; produce the artifacts and evidence each gate requires
• Partner across governance, architecture, cybersecurity, and application teams; communicate clearly with technical and business audiences
• Pair for capability transfer — FTEs with contractor counterparts, contractors with FTE track owners — so knowledge stays when engagements end
• Participate in support rotations for live workloads with incident triage and root‑cause discipline

Requirements:

• SE III (61 IC): Associate's + 7 years or Bachelor's + 5 years systems analysis/application development experience (or combined 9 years). SE II (60 IC): Associate's + 5 years or Bachelor's + 3 years equivalent experience (or combined 7 years)
• 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 (e.g., APIM, Entra ID, Key Vault, Azure AI services including Azure AI Foundry, Azure Monitor, IaC tooling) — current stack is Azure AI Foundry + APIM, with the platform designed to extend to additional venues and tools (e.g., AWS Bedrock, Google Vertex, direct provider APIs) without rework
• 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 tracks above — candidates are routed by strongest track fit across both organizations
• 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