{"id":1144246,"url":"https://alion.io/job/burns-wilcox-full-stack-ai-developer","title":"Full-Stack AI Developer","company":{"id":1090759,"name":"Burns & Wilcox","domain":"burnsandwilcox.ca","url":"https://alion.io/company/burnsandwilcox","size_band":null,"is_staffing_agency":true,"is_intermediary":false,"ats_vendor":"iCIMS","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":null,"work_mode":"on_site","remote_scope":null,"hiring_geo_confidence":"structured","locations":[],"countries":[],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":".NET","optional":false},{"name":"AI Agents","optional":false},{"name":"C#","optional":false},{"name":"CI/CD","optional":false},{"name":"Claude","optional":false},{"name":"Copilot","optional":false},{"name":"Gemini","optional":false},{"name":"JavaScript","optional":false},{"name":"MuleSoft","optional":false},{"name":"OpenAI Codex","optional":false},{"name":"Rest API","optional":false},{"name":"SQL","optional":false},{"name":"TypeScript","optional":false},{"name":"Apex","optional":true},{"name":"Azure","optional":true},{"name":"Azure DevOps","optional":true},{"name":"Azure SQL Database","optional":true},{"name":"Bicep","optional":true},{"name":"Human-in-the-Loop","optional":true},{"name":"LLM","optional":true},{"name":"LLM Guardrails","optional":true},{"name":"Microsoft Entra ID","optional":true},{"name":"Prompt Engineering","optional":true},{"name":"RAG","optional":true},{"name":"Terraform","optional":true}],"status":"live","first_seen_at":"2026-09-23T14:04:32Z","employer_posted_date":"2026-09-23","last_verified_at":"2026-09-23T22:22:30Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Responsibilities\nH.W. Kaufman Group is building an AI Value Engineering capability inside Information Technology to engineer measurable business value across the enterprise. The AI Value Engineering team operates at the intersection of application development, RPA, data, business operations, and AI-enabled delivery. Its charter is to deliver high-impact solutions across quick-strike and deep-dive engagements, partner closely with business stakeholders, transition proven solutions to sustaining teams, and stop initiatives quickly when they are not proving value. The team is measured on portfolio impact, successful handoffs, quantified business value, disciplined focus, and the ability to avoid becoming a maintenance or production-support function.\nThis role is for a hands-on, AI-enabled developer who can move across applications, automation, data, and business operations to identify high-impact opportunities, build working solutions, prove their work, and transition responsibly to sustaining teams.\nWe are looking for developers for whom building software is more than a job. Strong candidates are resourceful, curious, disciplined, and energized by solving problems. They have opinions shaped by experience, reading, experimentation, and exposure to good engineering practices. They understand that AI changes the speed of software delivery, but not the need for judgment, craftsmanship, business understanding, and accountability.\nThis role is best suited for a T-shaped or comb-shaped technologist: broad enough to wire together platforms, data, APIs, automations, and user workflows; deep enough to make sound technical decisions and avoid fragile solutions.\nWhat Success Looks Like\nTake a loosely defined business problem, clarify the value hypothesis, and produce a working demonstration quickly \nKnow when an AI agent’s recommendation is plausible, risky, over-engineered, or misaligned with enterprise supportability \nMove comfortably between front-end, back-end, integration, data, workflow automation, and platform configuration \nActively look for simpler, faster, more supportable paths rather than merely implementing the first technical answer \nProduce solutions that can be handed off cleanly; you do not create hidden dependencies on yourself \nCommunicate tradeoffs clearly to technical and non-technical audiences \nResponsibilities\nDeliver quick-strike solutions in days or weeks where business value is clear and the path is known \nContribute to deeper exploratory engagements over one to three months where the solution is uncertain, but the potential value is high \nBuild prototypes, automations, integrations, data-driven workflows, and application features across Salesforce, MuleSoft, .NET, RPA, AI/ML tooling, and related enterprise platforms \nUse AI development tools such as Claude, Codex, Gemini, Copilot, or similar agents to accelerate delivery while validating architectural fit, maintainability, security, and operational risk \nWork directly with underwriting, claims, operations, and IT stakeholders to understand workflows, pain points, value drivers, and practical adoption constraints \nTranslate business problems into working software, measurable experiments, and clear handoff packages \nDocument architecture, configuration, dependencies, known limitations, prompts, runbooks, and operational considerations for the receiving team \nRecommend pivoting or stopping work when an initiative is not proving valuable, without treating that as failure \nShadow and learn business workflows so solutions are grounded in how work gets done \nQualifications\nProfessional software development experience in enterprise environments with 5+ years of experience\nFull-stack capability across application development, integrations, APIs, data access, workflow automation, and user-facing delivery \nExperience with at least several of the following: Salesforce, MuleSoft, .NET/C#, JavaScript/TypeScript, SQL, REST APIs, RPA/workflow tools, cloud services, CI/CD, or enterprise data platforms \nPractical experience using AI-assisted development tools or a demonstrated ability to adopt them quickly and responsibly \nStrong debugging, problem decomposition, and self-directed learning skills \nAbility to evaluate code quality, maintainability, patterns, security implications, and operational fit \nAbility to write clear technical documentation and conduct knowledge transfer with receiving teams \nComfort working in timeboxed engagements with defined outcomes, checkpoints, and handoff expectations \nExperience in insurance, underwriting, brokerage, claims, or other workflow-heavy business domains is a plus\nExposure to enterprise architecture patterns, design patterns, domain modeling, relational database design, integration patterns, or similar engineering disciplines \nExperience building automations or AI-enabled solutions that combine applications, data, documents, and human review workflows \nExperience with prompt engineering, LLM evaluation, retrieval-augmented generation, agentic development workflows, or AI governance practices\nAbility to operate inside appropriate enterprise guardrails while still challenging assumptions and finding better approaches \nComplementary Strengths\nBecause this team is intentionally built from generalists who can go deep, we value candidates who bring complementary strengths that broaden the team’s overall capability. Experience in any of the following areas is a plus, but not required:\nInformation security - secure development practices, identity and access management, data protection, secrets management, vulnerability remediation, secure API design, or practical experience partnering with security teams \nAzure and cloud services - Azure App Services, Azure Functions, Logic Apps, Azure SQL, Storage Accounts, Key Vault, Service Bus, Entra ID, Azure DevOps, or similar cloud-native services\nInfrastructure as Code / DevOps - Terraform, Bicep, ARM templates, CI/CD pipelines, environment configuration, deployment automation, observability, or release governance \nEnterprise integration - API gateways, MuleSoft, event-driven integration, message queues, service orchestration, or integration monitoring \nAI governance and operationalization - prompt/version management, LLM evaluation, data leakage prevention, human-in-the-loop review, auditability, monitoring, or safe deployment of AI-assisted workflows \nAbout Our Company\nAbout Our Company\nH.W. Kaufman Group is a powerful global network of companies dedicated to shaping the future of insurance. With thousands of dedicated professionals across an extensive network of over 60 offices around the world, we lead by offering innovative solutions that are at the forefront of the industry. We are privately owned and thus free from the influence of Wall Street. This allows us the ability to adapt to constantly fluctuating market conditions. From brokerage, underwriting, and real estate to claims, loss control and risk management services, our depth of services is unrivaled.\nEqual Opportunity Employer\nThe H.W. Kaufman Group of companies is an equal opportunity employer. All employment decisions are based on business needs, job requirements and individual qualifications, without regard to race, color, religion, gender, gender identity, age, national origin, disability, veteran status, marital status, pregnancy, sexual orientation, genetic information or any other status or condition protected by the laws or regulations in the locations where we operate.\nIn addition, Kaufman will make reasonable accommodations to known physical or mental limitations of an otherwise qualified person with a disability, unless the accommodation would impose an undue hardship on the operation of our business.","description_format":"text","description_chars":7744,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Real Estate"],"lifecycle":[{"event":"open","at":"2026-09-23T14:04:32Z"}],"liveness":{"score":52,"band":"ok","label":"Likely open","p_open":1,"p_active":0.516,"p_room":1,"age_days":0,"expected_fill_days":21,"reasons":["conf:2","agency","win:early"],"computed_at":"2026-09-24T01:13:10Z"},"pay":null,"html_url":"https://alion.io/job/burns-wilcox-full-stack-ai-developer","json_url":"https://alion.io/job/burns-wilcox-full-stack-ai-developer.json","meta":{"generated_at":"2026-09-24T01:13:10Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers"}}