{"id":1444898,"url":"https://alion.io/job/world-vision-softek-enterprise-ai-architect","title":"Enterprise AI Architect","company":{"id":1043178,"name":"World Vision Softek","domain":"wvsoftek.com","url":"https://alion.io/company/world-vision-softek","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"staff","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":34000,"max_usd":81000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":11},"experience_years_min":15,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"CI/CD","optional":false},{"name":"Human-in-the-Loop","optional":false},{"name":"Kubernetes","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Machine Learning","optional":false},{"name":"RAG","optional":false}],"status":"live","first_seen_at":"2026-09-29T06:17:40Z","employer_posted_date":null,"last_verified_at":"2026-09-29T06:17:40Z","board_verified":false,"closed_at":null,"days_open":1,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":1},"description":"Accountable for the end-to-end architecture, engineering blueprint, deployment model, operational readiness, security, governance, and integration strategy of the client's enterprise AI systems, ensuring that AI solutions operate as secure, scalable, compliant, and business-aligned systems across models, applications, infrastructure, data, networks, and external dependencies.\nThe core responsibilities for the job include the following:\nEnd-to-end AI system architecture:\nDefine the overall architecture of AI systems across models, agents, applications, data, APIs, infrastructure, and external services.\nEstablish architecture principles, reference architectures, and technology standards.\nDefine the technology selection principles and coding standards.\nDefine the architecture standards to be followed by individual AI products.\nEnsure architecture supports scalability, resilience, performance, and maintainability.\nInfrastructure and deployment:\nDefine/approve the deployment architecture across cloud/on-premise/hybrid environments for both Maveric and client environments\nDefine/approve requirements for Kubernetes, GPU infrastructure, storage, networking, and compute.\nEstablish/approve deployment, release, and rollback patterns for AI systems.\nDefine checklists and guidelines to ensure production-readiness of AI products.\nAI engineering ecosystem development:\nDefine the standardized and reusable capabilities, such as the following, that need to be consumed by all Maveric AI products in a standardized manner.\nFoundation models, AI gateways, model routing, vector databases, prompt management, RAG, guardrails, observability, and AI security.\nDefine how Maveric AI platforms consume centralized platform capabilities.\nWork with the delivery and integration leader to create the reusable services.\nDetermine what should be centralized as a platform capability versus embedded within individual AI products.\nBusiness rules and AI controls:\nEnsure business rules, policies, decision logic, and human-in-the-loop controls are properly incorporated into the Maveric AI Platforms.\nDefine boundaries between LLM/model behavior and deterministic business logic (i. e., what goes to the LLM vs. what is not going to the LLM).\nDefine the model selection guidelines.\nEnsure AI products follow the architecture patterns in a manner in which their outputs can be controlled, validated, and audited.\nIntegration and external ecosystem:\nOwn the architectural integration of AI systems with core banking/enterprise applications, APIs, identity platforms, data platforms, external AI/model providers, third-party services, and enterprise networks.\nAssess dependencies and architectural risks associated with external providers.\nSecurity, risk, and compliance:\nEnsure AI architecture incorporates security and regulatory requirements.\nDefine controls for data privacy, model security, prompt injection, data leakage, access control, and model abuse.\nWork with cybersecurity, risk, legal, and compliance teams to establish AI controls.\nEnsure appropriate auditability and traceability are defined and implemented.\nReliability and operations:\nDefine SLOs, RTO/RPO, and operational readiness requirements.\nTechnology and vendor strategy:\nEvaluate AI technologies, models, platforms, and vendors.\nDefine technology selection criteria and enterprise standards.\nDesign standards for open-source tool stack selection.\nApprove open-source tools before they are deployed in the Maveric environment.\nEstablish technology lifecycle and obsolescence strategy.\nArchitecture governance:\nReview and approve AI solution architectures.\nEstablish architecture review checkpoints.\nMaintain enterprise AI reference architecture and standards.\nIdentify and manage technical debt and architectural risks.\nRequirements:\nSomeone with 15+ years of experience with enterprise architecture having hands-on experience in architecting and implementing AI platforms and solutions.\nTypical skills: The role is for someone who is T-shaped, rather than an expert only in AI.\nCore: Enterprise architecture, AI governance, AI/ML architecture, generative AI/LLMs/agents, cloud and hybrid architecture, Kubernetes/container, APIs and integration, data architecture, networking, cybersecurity, DevSecOps/CI-CD, observability/SRE.","description_format":"text","description_chars":4291,"description_truncated":false,"requirements":{"experience_years_min":15,"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":["IT Consulting & Digital Transformation","Custom Software Development","Digital Marketing"],"lifecycle":[{"event":"open","at":"2026-09-29T06:17:40Z"}],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":0,"expected_fill_days":30,"reasons":["seen:0","velocity","win:early"],"computed_at":"2026-09-30T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/world-vision-softek-enterprise-ai-architect","json_url":"https://alion.io/job/world-vision-softek-enterprise-ai-architect.json","meta":{"generated_at":"2026-10-01T04:35:04Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":3979,"day_limit":5000,"remaining_today":1021,"minute_limit":60,"resets_at":"2026-10-02T00:00:00Z"}}}