{"id":2364342,"url":"https://alion.io/job/skyboundwealth-ai-engineer","title":"AI Engineer","company":{"id":4417003,"name":"Skybound Wealth","domain":"skyboundwealth.com","url":"https://alion.io/company/skyboundwealth","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Teamtailor","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Mumbai, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":21000,"max_usd":47000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":29},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"CI/CD","optional":false},{"name":"Incident Management","optional":false},{"name":"LLM","optional":false},{"name":"LLMOps","optional":false},{"name":"OpenTelemetry","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Python","optional":false},{"name":"Azure","optional":true},{"name":"Azure DevOps","optional":true},{"name":"OpenAI","optional":true},{"name":"OWASP","optional":true},{"name":"Vault","optional":true}],"status":"live","first_seen_at":"2026-07-28T09:27:08Z","employer_posted_date":"2026-07-28","last_verified_at":"2026-10-17T05:43:28Z","board_verified":true,"closed_at":null,"days_open":80,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":80},"description":"About Us\nSkybound Wealth Management is a global financial advisory company with employees across the UK, USA, Switzerland, Cyprus, Spain and UAE. We provide tailored financial advice to international clients, supported by expert teams across wealth planning, compliance and operations.\nRole Overview\nWe are seeking an experienced and technically capable AI Platform & LLMOps Engineer to take ownership of the reliability, performance and economics of our models, prompts, agents and AI services in production.\nThe successful candidate will be responsible for the operational layer between model providers and the applications that consume them. This will include deployment, observability, evaluation pipelines, provider integrations, routing, quotas, release controls, cost optimisation and incident response.\nWorking closely with our software engineering, data, cybersecurity and product teams, the AI Platform & LLMOps Engineer will ensure our AI services are observable, resilient, repeatable, secure and cost-controlled.\nThis role requires someone who can operate and improve the underlying AI platform while also understanding how AI services are integrated into existing production applications and business workflows.\nKey Responsibilities\nAI Platform Operations\nOperate and maintain the Group’s model gateway and AI provider integrations.\n\nManage authentication, model routing, fallback processes, rate limits, quotas and provider controls.\n\nMaintain controls relating to model and provider versions, deprecations and service changes.\n\nEnsure AI services are resilient, scalable and capable of supporting production applications and workflows.\n\nWork closely with software engineering teams to integrate AI services into existing and new applications.\n\nMonitoring\nBuild and maintain dashboards and alerts covering token usage, cost, latency, error rates and service availability.\n\nMonitor quality and safety evaluations, tool failures and AI usage by person, team, product and use case.\n\nImplement distributed tracing, metrics and logging using OpenTelemetry or equivalent technologies.\n\nDefine and maintain service-level objectives, operational thresholds and escalation processes.\n\nIdentify emerging performance, reliability or cost issues before they affect users or business operations.\n\nRelease Management\nBuild prompt, agent and model release pipelines with appropriate version control and approval processes.\n\nImplement automated testing and evaluation as part of the AI release lifecycle.\n\nManage canary deployments, controlled releases and rollback processes.\n\nDefine and measure model accuracy, service quality and business value, rather than focusing solely on infrastructure performance and cost.\n\nEstablish evaluation frameworks that measure whether AI services successfully complete the intended task, case, document or workflow.\n\nMonitor model performance and identify potential drift or deterioration in output quality.\n\nCost Management & Optimisation\nDevelop clear unit economics for AI services, progressing from cost per token to cost per successful task, case, document or workflow outcome.\n\nMonitor and report AI consumption and expenditure across teams, products and use cases.\n\nOptimise spend through model routing, caching, batching, prompt and context reduction, model selection and capacity planning.\n\nBalance cost, speed, accuracy and quality requirements when selecting and configuring AI services.\n\nExplain cost and quality trade-offs clearly to engineering, finance and executive stakeholders.\n\nResilience & Incident Management\nConduct load, resilience and red-team testing across AI services and supporting infrastructure.\n\nDevelop and maintain operational playbooks for provider outages, model drift, data leakage, prompt injection and unexpected cost increases.\n\nInvestigate and respond to incidents affecting AI services.\n\nMaintain incident records, post-incident reviews and remediation plans.\n\nAssess provider and model changes to identify operational, security and business risks.\n\nCloud Infrastructure & DevOps\nManage AI infrastructure through infrastructure-as-code and automated deployment practices.\n\nBuild and maintain CI/CD pipelines, containers, serverless compute and environment separation.\n\nManage secrets, authentication, networking, telemetry and access controls.\n\nSupport the operation of cloud-native AI services, applications and integrations.\n\nMaintain clear technical documentation covering architecture, deployment processes, dependencies and operational procedures.\n\nSecurity & Governance\nEmbed DevSecOps and secure software development lifecycle practices across the AI platform.\n\nConduct threat modelling and support security reviews for AI services and application integrations.\n\nImplement automated security testing within CI/CD pipelines.\n\nMaintain dependency, vulnerability and software supply-chain controls.\n\nEnsure secrets, credentials and sensitive information are managed securely.\n\nSupport auditability, data protection and regulatory requirements relating to financial and client information.\n\nMaintain appropriate audit evidence, operational records and provider assessments.\n\nRequirements\nEssential\n5+ years’ experience in platform engineering, SRE, DevOps, MLOps, cloud engineering or a related role, including responsibility for production services and incident response.\n\nHands-on experience operating LLM or machine-learning services in production, with a strong understanding of token usage, context limits, latency and probabilistic failure.\n\nStrong Python or scripting capability, with practical experience of CI/CD, infrastructure-as-code, containers and cloud-native services.\n\nExperience implementing observability using tools such as OpenTelemetry, including tracing, metrics, logging, dashboards and alerting.\n\nStrong knowledge of cloud and application security, including identity, networking, secrets management, encryption, audit logging and vulnerability management.\n\nPractical DevSecOps experience, including secure development practices, threat modelling, automated security testing and software supply-chain controls.\n\nExperience integrating AI or cloud services into production applications and working closely with software engineering and product teams.\n\nAbility to measure model quality, service performance, cost and business outcomes, and communicate technical trade-offs clearly to a range of stakeholders.\n\nDesirable\nPractical experience with Microsoft Azure, including Azure OpenAI, Azure AI services, App Services, Functions, Key Vault, Application Insights or Azure DevOps.\n\nExperience operating AI or technology services within financial services or another regulated environment.\n\nFamiliarity with recognised security frameworks such as the OWASP Application Security Verification Standard.\n\nExperience designing model gateways, multi-provider routing, fallback processes or cost-optimised model selection.\n\nExperience developing AI evaluation, red-team or model-testing frameworks.\n\nYou Will Benefit From\nA competitive salary relevant to experience.\n\nThe opportunity to take ownership of the operational platform supporting AI across a growing international business.\n\nExposure to AI projects spanning client services, financial advice, compliance, operations and internal productivity.\n\nThe opportunity to shape the Group’s standards for AI reliability, security, cost management and evaluation.\n\nThe chance to work closely with software engineering, data, cybersecurity, finance and executive stakeholders.\n\nFull support to complete relevant industry certifications and continue developing your AI, cloud and platform engineering career.\n\nSkybound Wealth Management is committed to fostering a diverse and inclusive workplace. We welcome applications from all qualified candidates regardless of background.","description_format":"text","description_chars":7819,"description_truncated":false,"requirements":{"experience_years_min":5,"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":["Application Security"],"lifecycle":[{"event":"open","at":"2026-10-12T16:27:17Z"}],"visa":[],"liveness":{"score":13,"band":"cold","label":"Long shot","p_open":1,"p_active":0.45,"p_room":0.28,"age_days":80,"expected_fill_days":26,"reasons":["conf:0","win:tail","crowd:"],"computed_at":"2026-10-17T05:46:00Z"},"pay":null,"html_url":"https://alion.io/job/skyboundwealth-ai-engineer","json_url":"https://alion.io/job/skyboundwealth-ai-engineer.json","meta":{"generated_at":"2026-10-17T07:57:52Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":10747,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-18T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":4417003},"rest":"https://alion.io/mcp/rest/get_company?id=4417003"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fskyboundwealth-ai-engineer"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fskyboundwealth-ai-engineer"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fskyboundwealth-ai-engineer"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/skyboundwealth-ai-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fskyboundwealth-ai-engineer"}]}