{"id":4167084,"url":"https://alion.io/job/freedompay-ai-enablement-engineer","title":"AI Enablement Engineer","company":{"id":13930,"name":"FreedomPay","domain":"freedompay.com","url":"https://alion.io/company/freedom-pay","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Lever","truth_index":{"grade":"A","score":92,"open_postings":25,"ghost_share":0,"stale_share":0.12,"repost_share":0,"time_to_fill_p50_days":71,"computed_at":"2026-11-12T10:38:37Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"middle","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Philadelphia, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Claude","optional":false},{"name":"Claude Code","optional":false},{"name":"Context Engineering","optional":false},{"name":"Copilot","optional":false},{"name":"Copilot Studio","optional":false},{"name":"Git","optional":false},{"name":"Human-in-the-Loop","optional":false},{"name":"JavaScript","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Microsoft Fabric","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Rest API","optional":false},{"name":"SQL","optional":false},{"name":"TypeScript","optional":false},{"name":".NET","optional":true},{"name":"Agentic Workflows","optional":true},{"name":"AI Agents","optional":true},{"name":"Azure","optional":true},{"name":"Azure DevOps","optional":true},{"name":"C#","optional":true},{"name":"CI/CD","optional":true},{"name":"Multi-Agent Systems","optional":true},{"name":"PCI DSS","optional":true},{"name":"PowerShell","optional":true},{"name":"Windows","optional":true}],"status":"live","first_seen_at":"2026-11-11T14:30:18Z","employer_posted_date":"2026-11-11","last_verified_at":"2026-11-12T13:43:55Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"Primary Responsibilities\nEmbed with internal teams to map workflows, find the largest bottlenecks, and redesign the whole workflow around AI rather than speeding up a single step.\nBuild internal tools that replace manual processes.\nAutomate multi-step workflows end to end: validation, approvals, notifications, status tracking, and exception handling.\nPrototype in days with AI coding tools and LLMs, then harden what sticks with testing, logging, error handling, and documentation.\nMeasure results: cycle time, tickets deflected, hours saved, and error rates.\nWork within security and compliance requirements, including PCI scope, data classification, access control, and change management.\nTrain users, gather feedback, and iterate.\nAdvise and mentor individual team members on shaping their own workflows, so they can solve more problems themselves.\nOwn the long-term support strategy for every tool you ship: who supports it, when it hands off, and when it retires.\nAI Enablement & Automation\nAI is core to how this role operates. You will:\nUse AI-assisted development tools such as Claude (including Claude Code) daily to design, build, test, and document solutions.\nBuild agents and AI-powered workflows on the Microsoft AI stack (Microsoft 365 Copilot, Copilot Studio, Microsoft Foundry, Microsoft Fabric), grounded in company data through Microsoft IQ.\nDesign, build, and support fully autonomous agents that carry out multi-step work, with guardrails, monitoring, and clear escalation paths.\nBuild and maintain MCP servers, both local (STDIO) and remote (HTTP), that securely connect AI tools to internal systems and data.\nPackage reusable capabilities as skills and plugins that teams can install and share.\nPractice context engineering: prompt and tool design, retrieval (RAG), and memory, so agents get the right information at the right time.\nBuild evals and test sets that measure agent quality, catch regressions, and show when something is ready to ship.\nInstrument agents for observability and cost: tracing, token usage, and failure analysis.\nChoose the right tool and model for each problem, weighing quality, cost, and latency: low-code agent, custom code, or plain automation.\nScout new AI tools and capabilities as they land, and form a clear point of view on what's worth enabling.\nApply responsible AI practices in a highly regulated payment-processing environment, including data classification, access control, and human-in-the-loop review.\nShare what works: publish reusable prompts, agents, and patterns other teams can adopt.\nRequired Background and Experience\n3-5 years of experience in technical operations/automation, software engineering, or solutions engineering. A Bachelor's degree in a related field or equivalent practical experience.\nStrong business and process sense: you can understand a non-technical team's workflow and design the right fix.\nKeeps pace with an AI ecosystem that changes daily, and can tell a real step forward from hype.\nClear communicator who can work independently, prioritize by impact, and ship iteratively.\nAbility to manage multiple stakeholders and priorities in a fast-paced environment.\nRequired Technical Skills\nHands-on experience building with AI coding assistants, with Claude strongly preferred, and applying LLMs to real workflows.\nWorking proficiency with the Microsoft AI stack (for example Microsoft 365 Copilot, Copilot Studio, Foundry, Fabric), or demonstrated ability to ramp quickly.\nFull-stack fundamentals: a modern web framework, REST APIs, SQL, and scripting in Python or JavaScript/TypeScript.\nComfortable with Git and team workflows: branching, pull requests, and code review.\nExperience with integration and workflow tools (APIs, webhooks, iPaaS, RPA, or similar).\nUnderstanding of secure development practices, authentication, and access control.\nPreferred Skills and Experience\nPayments, fintech, or other regulated-industry experience.\nFamiliarity with PCI DSS, SSO/OAuth, and data classification.\nExperience in a Windows/.NET environment (C#, PowerShell), Azure, and CI/CD (Azure DevOps or similar).\nExperience designing and supporting autonomous agents or agentic workflows, including MCP servers, skills/plugins, evals, and multi-agent orchestration.\nExperience supporting production tools used by non-technical teams.","description_format":"text","description_chars":4314,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"United 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