{"id":3273016,"url":"https://alion.io/job/unison-group-genai-architect-banking","title":"GenAI Architect - Banking","company":{"id":448684,"name":"Unison Group","domain":"unisongroup.com","url":"https://alion.io/company/unisongroup","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"Workable","truth_index":{"grade":"B","score":75,"open_postings":79,"ghost_share":0,"stale_share":0.987,"repost_share":0,"time_to_fill_p50_days":30,"computed_at":"2026-11-12T10:38:37Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"staff","employment_type":"contractor","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Singapore"],"countries":["SG"],"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":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Embeddings","optional":false},{"name":"LLM","optional":false},{"name":"LLMOps","optional":false},{"name":"OpenAI","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Reranking","optional":false},{"name":"Semantic Search","optional":false},{"name":"Vertex AI","optional":false},{"name":"Fine-tuning","optional":true},{"name":"Multimodal AI","optional":true}],"status":"live","first_seen_at":"2026-10-26T12:45:28Z","employer_posted_date":"2026-10-26","last_verified_at":"2026-11-13T18:23:48Z","board_verified":true,"closed_at":null,"days_open":18,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":18},"description":"Job Description: GenAI Architect - Banking\nExperience: 10+ years in software engineering or architecture, with hands-on experience delivering Generative AI solutions\nDomain: Banking and Financial Services\nRole Overview\nWe are seeking a GenAI Architect to design and implement secure, scalable Generative AI solutions for banking. The role combines enterprise architecture, hands-on AI expertise, and banking domain knowledge to deliver solutions across customer service, operations, risk, and compliance.\nKey Responsibilities\nDefine the GenAI architecture and roadmap in collaboration with banking business and technology teams.\nDesign solutions for use cases such as customer and employee assistants, credit document analysis, KYC support, regulatory knowledge retrieval, and operations automation.\nBuild retrieval-augmented generation (RAG) architectures using banking policies, product documents, procedures, and approved knowledge sources.\nEvaluate LLMs, embedding models, vector databases, and orchestration frameworks against accuracy, security, latency, and cost requirements.\nIntegrate GenAI applications with core banking systems, CRM platforms, document repositories, and enterprise APIs.\nDesign agentic workflows with controlled tool access, human approvals, and auditable actions.\nImplement controls for sensitive customer data, access permissions, data retention, and data residency.\nAddress risks including hallucinations, prompt injection, data leakage, and inappropriate model outputs.\nEstablish evaluation, monitoring, versioning, and deployment practices for production AI applications.\nCollaborate with information security, compliance, legal, and model risk teams to meet applicable regulatory requirements and internal policies.\nLead architecture reviews, mentor engineers, and guide solutions from proof of concept to production.\nRequired Skills and Qualifications\nBachelor’s or master’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.\nStrong experience in enterprise architecture and application delivery within banking or financial services.\nHands-on experience developing and deploying production LLM applications.\nProficiency in Python, API development, microservices, and distributed systems.\nStrong understanding of RAG, embeddings, semantic search, reranking, prompt engineering, and model evaluation.\nExperience with at least one major cloud AI platform, such as Azure OpenAI, Amazon Bedrock, or Google Vertex AI.\nExperience with vector databases or vector-enabled search platforms.\nKnowledge of banking processes such as retail or corporate banking, lending, payments, KYC/AML, or risk management.\nUnderstanding of secure development, encryption, identity and access management, and audit logging.\nExperience with CI/CD, containers, infrastructure as code, and LLMOps.\nStrong communication skills and the ability to explain architectural decisions to technical and business stakeholders.\nPreferred Qualifications\nExperience navigating model risk reviews and AI governance processes in a bank.\nFamiliarity with private networking, hybrid deployments, and restricted data environments.\nExperience with model fine-tuning, open-weight models, or multimodal document processing.\nExperience designing human review 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