{"id":4062546,"url":"https://alion.io/job/unilever-solution-architect-agent-catalogue","title":"Solution Architect - Agent Catalogue","company":{"id":4977,"name":"Unilever","domain":"unilever.com","url":"https://alion.io/company/unilever","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":99,"open_postings":63,"ghost_share":0.016,"stale_share":0.016,"repost_share":0.333,"time_to_fill_p50_days":13,"computed_at":"2026-11-11T05:49:22Z"}},"role":"Solutions","role_family":"Solutions","seniority":"staff","employment_type":"full_time","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":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Azure","optional":false},{"name":"Design Controls","optional":false},{"name":"GCP","optional":false},{"name":"Human-in-the-Loop","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"RAG","optional":false},{"name":"CI/CD","optional":true},{"name":"Context Engineering","optional":true},{"name":"Copilot Studio","optional":true},{"name":"FinOps","optional":true},{"name":"Knowledge Graph","optional":true},{"name":"LLMOps","optional":true},{"name":"Self-Healing","optional":true},{"name":"Semantic Search","optional":true}],"status":"live","first_seen_at":"2026-11-11T09:33:29Z","employer_posted_date":"2026-11-11","last_verified_at":"2026-11-11T09:33:29Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Job Title: Solution Architect - Agent Catalogue\nWork Level: 2A\nJOB PURPOSE\nWe are looking for a Manager, Agentic Solution Architecture & Reuse to provide hands-on solution architecture and technical design assurance for agentic artificial intelligence solutions across Unilever.\nAs agentic artificial intelligence adoption continues to scale across technologies and business domains, you will make sure our agentic solutions are secure, scalable, cost-efficient, reusable and future-fit. You will work across technology platforms rather than being tied to a single vendor stack, ensuring the right architecture, models, integration patterns, skills and governance controls are applied consistently as solutions move from experimentation into production and scale.\nYou will also anchor two critical enterprise capabilities: token and model optimisation, continuously improving the efficiency and cost of agentic workloads; and Agent Catalogue and Skill Registry hydration, making sure proven agents, skills and architecture patterns are captured, governed and reused across Unilever rather than repeatedly rebuilt.\nYou will work closely with product teams, engineers, platform teams, security, Enterprise Architecture and business stakeholders as part of the Hyper Automation Technical Design Authority.\nBecause here, we don’t just hire for jobs. We invite you to be part of something bigger.\nKEY RESPONSIBILITIES\nundefined\nProvide solution architecture for artificial intelligence and agentic use cases across multiple technologies and platforms.\nTranslate business requirements into robust technical architectures covering agents, models, skills and tools, data, integration and orchestration.\nConduct technical design reviews and make sure solutions meet agreed architecture and engineering standards before progressing to build and production.\nDetermine when requirements should be met through native platform capabilities, reusable enterprise capabilities or custom pro-code development, keeping architectures portable and avoiding unnecessary platform lock-in.\nDefine and apply architecture patterns covering orchestration, grounding, agent-to-agent interaction, human-in-the-loop, application programming interfaces, Model Context Protocol (MCP) and tool integration, and deterministic automation.\nundefined\nMake sure agentic solutions are designed for enterprise scale rather than individual proofs of concept or isolated use cases.\nAssess designs for scalability, resilience, observability, maintainability, security and cost.\nMonitor the evolution of models, agent frameworks and platform capabilities, and determine where existing architecture patterns need to evolve.\nPartner with the Senior Manager, AI Solution Architecture and Enterprise Architecture to convert emerging approaches into approved reusable patterns.\nSupport the progression of solutions towards greater autonomy while maintaining appropriate control, audit and human intervention points.\nundefined\nEmbed security, privacy, Responsible AI and governance requirements directly into solution design.\nMake sure agent identity, permissions, data access, tool access and execution boundaries are appropriately designed.\nMaintain traceability of architecture decisions and exceptions, identify architectural risks early and drive remediation before production deployment.\nMake sure reusable assets have clear technical ownership and lifecycle accountability.\nundefined\nAnchor token optimisation across agentic workloads, analysing excessive context, prompts, agent interactions and model calls and recommending architectural optimisation.\nDrive patterns such as context reduction, better retrieval, reusable system instructions, efficient agent and tool interaction and right-sized model selection.\nWork with solution teams to improve cost per outcome, not simply model cost per token, and identify where smaller, lower-cost models can safely replace larger models for defined task classes.\nBuild innovative solutions that improve efficacy, and feed optimisation learnings back into architecture standards so improvements become reusable patterns rather than one-off fixes.\nundefined\nDrive ongoing hydration of the enterprise Agent Catalogue and Skill Registry, making sure reusable agents, skills, tools, prompts, integrations, architecture patterns and accelerators emerging from delivery are identified and catalogued.\nEstablish metadata that makes assets discoverable and reusable, including capability, owner, technology, version, dependencies, applicability and lifecycle status.\nAssess new demand against existing assets before a new build is authorised.\nIdentify duplicate or overlapping agents and skills across platforms and domains, and recommend consolidation where multiple teams have developed similar capabilities.\nWork with business and technical subject matter experts to keep catalogue content current and usable.\nundefined\nConvert recurring solution requirements into reusable enterprise architecture and engineering patterns.\nEncourage composition of solutions from approved skills and reusable building blocks rather than monolithic agent implementations.\nPartner with engineering teams to industrialise successful proofs of value into repeatable accelerators.\nTrack adoption of reusable components, identify barriers to reuse and enable a build once, reuse across products and platforms approach wherever technically appropriate.\nREQUIRED QUALIFICATIONS\nStrong solution architecture experience covering artificial intelligence, generative artificial intelligence, automation or modern cloud applications.\nHands-on experience designing agentic or generative artificial intelligence solutions beyond proof-of-concept stage.\nUnderstanding of agent orchestration, tool and skill invocation, multi-agent patterns and human-in-the-loop architecture.\nStrong understanding of large language models, context windows, prompting, token consumption and model selection.\nExperience with retrieval-augmented generation, retrieval, grounding, vector search and enterprise knowledge integration.\nStrong application programming interface, integration and event-driven architecture knowledge, and an understanding of emerging standards such as Model Context Protocol (MCP) and reusable tool and skill architectures.\nCloud architecture experience on Microsoft Azure or Google Cloud Platform.\nAbility to review technical designs for scale, security, resilience, observability and maintainability.\nStrong understanding of artificial intelligence security, privacy, Responsible AI and governance principles, and experience translating governance requirements into technical design controls and architecture patterns.\nAbility to create architecture decision records, technical design documents and reusable reference patterns.\nPractical experience optimising generative artificial intelligence solutions for tokens, latency, model utilisation and runtime cost, including model routing and right-sizing workloads across model classes.\nAbility to identify architectural causes of unnecessary large language model consumption rather than relying only on prompt-level optimisation.\nExperience with reusable component libraries, application programming interface or service catalogues, agent or skill registries, or equivalent enterprise asset management, including asset metadata, taxonomy, ownership, versioning and lifecycle.\nAbility to identify duplication and convert solution-specific components into reusable architecture or engineering patterns.\nStrong stakeholder skills, with the ability to challenge proposed designs constructively, recommend pragmatic alternatives and communicate technical decisions clearly.\nPREFERRED QUALIFICATIONS\nExperience with Microsoft Copilot Studio.\nExperience with Model Context Protocol (MCP) servers, application programming interfaces, plugins, connectors and enterprise tool integration.\nExperience with large language model operations (LLMOps), generative artificial intelligence operations and artificial intelligence observability.\nExperience with model evaluation and benchmarking, and with prompt and context engineering.\nKnowledge of artificial intelligence financial operations (FinOps) and cost-management practices.\nExperience with knowledge graphs and semantic search.\nExperience with DevOps and continuous integration and continuous delivery for artificial intelligence applications.\nExposure to autonomous, self-healing or NoOps-oriented architectures.\nExperience with developer portals, application programming interface catalogues or internal technology marketplaces.\nExperience in fast-moving consumer goods, retail and eCommerce, or global manufacturing organisations.\nAt Unilever, inclusion is at the heart of everything we do. We welcome applicants from all walks of life and are committed to creating an environment where everyone can thrive/succeed. All applicants will receive fair and respectful consideration, and we actively support the growth and development of every employee.\nUnilever is an Equal Opportunity Employer/Protected Veterans/Persons with Disabilities.","description_format":"text","description_chars":9100,"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":["Cosmetics & Makeup","Cleaning & Household Products","Personal Hygiene & Toiletries","Hair Care Products"],"lifecycle":[{"event":"open","at":"2026-11-11T09:33:29Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":0,"expected_fill_days":13,"reasons":["conf:1","win:early","comp:brand"],"computed_at":"2026-11-11T11:02:47Z"},"pay":null,"html_url":"https://alion.io/job/unilever-solution-architect-agent-catalogue","json_url":"https://alion.io/job/unilever-solution-architect-agent-catalogue.json","meta":{"generated_at":"2026-11-11T11:02:47Z","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":19124,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-12T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.1,"usd":0.01,"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":4977},"rest":"https://alion.io/mcp/rest/get_company?id=4977"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Funilever-solution-architect-agent-catalogue"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":2,"usd":0.2},"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%2Funilever-solution-architect-agent-catalogue"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.1,"usd":0.01},"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%2Funilever-solution-architect-agent-catalogue"},{"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/unilever-solution-architect-agent-catalogue\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Funilever-solution-architect-agent-catalogue"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":4062546}},{"tool":"search_jobs","arguments":{"company":"unilever.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":4062546},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. Docs: https://alion.io/developers"}}