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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Sr. AI Software Engineer (Remote) - **Company:** Inspira Financial - **Location:** Oak Brook, IL, United States (Remote available) - **Experience:** Expert - **Salary:** $100,200.0 - $140,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Business Systems, Data Security, Information Extraction, Automation of Marketing, Software Engineering, Data Processing, Agentic-AI, AI Platforms, Information Technology, Low-code, Build Process - **Published:** October 27, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=81d8ae9b2933b961 ## About the Role Minimum required: * Bachelor of Science degree in Engineering or Computer Science * AI Continuous learning certifications are a plus * 3-6 six years of software engineering experience shipping and supporting production systems. * 2 +years of hands-on experience building AI solutions across assistants, agents, workflow automation, retrieval, and document processing. Skills & Abilities: * Demonstrated end-to-end ownership, taking a business idea from initial concept through requirements, prototype, and production use. * Ability to define and measure business value, including constructing a baseline, defending a measurement method, and communicating cost and benefit independently. * Working knowledge of at least one AI governance or management framework, such as ISO/IEC 42001 or NIST AI RMF, and the ability to convert it into implemented controls. * Experience instrumenting telemetry as part of the build process rather than after an incident. * Ability to work effectively within unfamiliar business functions, build credibility quickly, and influence stakeholders while building relationships. * Ability to learn and adapt to a changing AI platform and tooling landscape. * Financial services, healthcare, benefits administration, or other regulated industry experience preferred, particularly environments handling PII, PHI, or fiduciary data. * Process improvement experience preferred, such as Lean, Six Sigma, or process mining. * Fluency in low-code automation platforms alongside code-first development preferred. * Experience with contact center, claims, or back-office operations technology preferred. * Experience developing internal enablement materials, documentation, or practitioner communities preferred. Other Requirements: * Ability to occasionally work outside normal business hours to meet project deadlines as needed. * Prolonged periods of sitting at a desk and working on a computer. Req Benefits ## Description * Embed within business teams across Health & Benefits, Retirement & Wealth, operations, contact center, finance, HR, marketing, sales, and engineering to identify work that is repetitive, automatable, or bottlenecked. * Translate and communicate a business need into a written solution statement, success criteria, data requirements, and a documented recommendation on whether AI is the appropriate solution. * Build working prototypes to validate feasibility before committing to a full build. * Scope each opportunity appropriately, determining whether the right solution is a single-purpose agent, an automated workflow, a multi-tier agent system, or an existing approved vendor capability. * Build production agents and automations on approved enterprise platforms, including assistant and agent frameworks, low-code workflow automation, document intelligence, conversational and agent-assist capabilities, and natural language analytics. * Design multi-tier agent systems where an orchestration layer routes to specialized agents with scoped tools, defined boundaries, and a clean handoff to a human. * Integrate with business systems through approved connectors and MCP servers and support the approval process for new connectors when a use case requires one. * Hand off completed builds with documentation, a runbook, a named owner, and a business user able to operate the solution independently. * Baseline process performance prior to each build, capturing cycle time, volume, error and rework rates, handle time, and cost per unit as applicable. * Instrument deployed agents so that value is measured continuously rather than asserted once at launch. * Report outcomes honestly, including builds that did not deliver value and the resulting lessons learned. * Apply an ISO/IEC 42001 governance mindset to every build, including defined purpose, risk classification, data handling, human oversight, and evidence that controls operated as intended. * Define and implement governance, security, and compliance telemetry for each agent, covering tool calls, scope adherence, escalation and override rates, data access, output quality, and cost. * Build monitoring and alerting so drift, boundary violations, and unexpected spend are surfaced to an owner. * Operate within the AI Governance Committee process and the AI Acceptable Use Policy. * Report business team needs, governance friction points, recurring patterns, and tooling gaps back to the AI Center of Excellence. * Convert repeat builds into reusable patterns, templates, and starter kits for use by other consultants and delivery teams. * Run enablement sessions and working labs to raise AI fluency within the business teams this role supports. * Perform other duties as assigned.