{"id":3334083,"url":"https://alion.io/job/schroders-ai-platform-engineering-lead","title":"AI Platform Engineering Lead","company":{"id":1759316,"name":"Schroders","domain":"schroders.com","url":"https://alion.io/company/schroders-com","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Oracle","truth_index":{"grade":"A","score":99,"open_postings":4,"ghost_share":0,"stale_share":0.25,"repost_share":0,"time_to_fill_p50_days":21,"computed_at":"2026-10-29T05:49:05Z"}},"role":"DevOps","role_family":"DevOps","seniority":"lead","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["London, United Kingdom"],"countries":["GB"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":115000,"max_usd":211000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":30},"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":"Anthropic","optional":false},{"name":"AWS","optional":false},{"name":"AWS Bedrock","optional":false},{"name":"AWS Bedrock AgentCore","optional":false},{"name":"AWS CDK","optional":false},{"name":"AWS Strands Agents","optional":false},{"name":"CI/CD","optional":false},{"name":"CloudFormation","optional":false},{"name":"Embeddings","optional":false},{"name":"Function Calling","optional":false},{"name":"Human-in-the-Loop","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Terraform","optional":false},{"name":"TypeScript","optional":false}],"status":"live","first_seen_at":"2026-10-27T12:03:15Z","employer_posted_date":"2026-10-27","last_verified_at":"2026-10-29T16:13:15Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"description":"Who we’re looking for\nWe are looking for an experienced AI Platform Engineering Lead to engineer a secure, scalable and self-service Agentic AI Platform based on AWS Bedrock AgentCore. This will be a new team, responsible for enabling professional developers and citizen developers to design, build, deploy and operate agentic workflows that deliver measurable business value within a regulated environment.\nThis is a high-impact, hands-on leadership role for someone who can combine deep technical credibility with platform product thinking. You will own the technical delivery of the platform end to end, set the technical direction, lead a team of highly skilled engineers, stay close enough to the detail to guide design and delivery decisions, and ensure the platform is secure, reliable, easy to use and low overhead to operate.\nYou will design for distinct user archetypes, including professional developers, citizen developers, platform administrators, delivery teams, risk and control functions. The successful candidate will make the right path the easiest path through reusable capabilities, paved roads, automation and guardrails that enable innovation without compromising governance.\nIf you are excited by the challenge of building an enterprise Agentic AI Platform that can scale adoption while maintaining strong engineering, security and operational standards, we would like to hear from you.\nAbout us\nSchroders is a global investment manager which provides active asset management, wealth management and investment solutions. We aim to provide excellent investment performance to clients through active management. We serve a diverse client base that includes pension schemes, insurance companies, sovereign wealth funds, endowments, foundations, high net worth individuals, family offices, as well as end clients through partnerships with distributors, financial advisers, and online platforms.\nEstablished in 1804, we have around 5,500 people across 36 global locations. Schroders' success can be attributed to its diversified business model, spanning different asset classes, client types and geographies.\nTechnology at Schroders\nThere's a huge amount of change going on at Schroders. Technology's shaping our business more and more, so there are many opportunities waiting to be grabbed. And because we're a big financial player, we can put substantial backing behind good ideas.\nThe team\nThe Agentic AI Platform team is a new engineering team being formed within Global Technology to design, build and evolve the shared platform capabilities, engineering standards and control patterns required to run business-focused AI agents safely at enterprise scale. While the initial platform is still in development, the team will own the platform engineering roadmap, core services, developer experience, production readiness, operational resilience and ongoing support where required.\nThe team works closely with cloud engineering, cyber security, architecture, data, risk, compliance, operations, delivery teams and business stakeholders.\nWhat you'll do\nOwn the technical delivery of the Agentic AI Platform from planning through build, release, operation and continuous improvement. \nLead, motivate and develop a team of highly skilled platform, cloud and AI engineers, creating clear accountability and a strong culture of engineering excellence. \nSet and communicate the technical vision, engineering strategy, architecture principles and delivery roadmap for the platform. \nTranslate business objectives and stakeholder requirements into prioritised platform capabilities, user journeys, technical specifications and delivery plans. \nDesign and deliver a secure, scalable, self-service platform using AWS Bedrock AgentCore and supporting AWS services. \nDesign platform experiences for professional developers, citizen developers, administrators, delivery teams and control functions, balancing simplicity with appropriate flexibility. \nBuild guardrails into the platform covering identity, delegated authority, data access, tool use, model access, approvals, auditability and policy enforcement. \nEstablish engineering standards for agent orchestration, memory and context, tool integration, human-in-the-loop controls, evaluation, observability and operational support. \nEnsure security, compliance, resilience, cost management and operational readiness are designed into the platform rather than added later. \nOwn the platform as a product, using adoption, reliability, support demand, user feedback, delivery performance and cost information to guide improvement. \nDrive a low-overhead operating model through automation, self-service, clear ownership, effective monitoring and reduction of manual operational toil. \nWork with senior stakeholders to explain complex choices clearly, manage expectations, surface risks early and secure alignment on priorities and investment. \nRemain hands-on where it matters: reviewing designs, challenging technical decisions, unblocking complex engineering issues and ensuring delivery quality. \nManage technical debt, dependencies and platform lifecycle decisions deliberately, ensuring the platform remains supportable as usage scales. \nPromote experimentation and learning while maintaining disciplined controls for production use in a regulated environment.\nThe knowledge, experience and qualifications you need\nProven experience leading high-performing engineering teams that build and operate enterprise platforms or developer-facing products. \nStrong hands-on technical leadership capability, including setting direction, making architecture decisions, establishing engineering standards and taking accountability for delivery outcomes. \nDemonstrable experience building internal developer platforms, self-service platforms, cloud platforms or platform products at enterprise scale. \nStrong product mindset, with experience identifying user personas, mapping user journeys, reducing developer cognitive load and improving platform adoption. \nHands-on experience designing, building or operating production Agentic AI systems, including orchestration, tool use, memory, context management, guardrails, evaluation and human oversight. \nStrong knowledge of AWS AI and cloud services, particularly AWS Bedrock and AgentCore, together with identity, networking, compute, containers, serverless, storage and observability capabilities. \nUnderstanding of agent and tool interoperability patterns, including Model Context Protocol, reusable agent skills and controlled integration with enterprise systems. \nExperience applying modern software engineering practices to platforms, including APIs, automated testing, code review, CI/CD, Infrastructure as Code and secure software delivery. \nAbility to gather requirements from technical and non-technical stakeholders and convert them into clear technical specifications, architecture decisions and deliverable increments. \nExperience delivering technology in financial services or another regulated environment, with a strong understanding of security, risk, compliance, auditability and operational resilience. \nExperience designing security-by-default and policy-as-code controls covering access, data, tools, models, deployment and runtime behaviour. \nStrong understanding of production AI concerns, including evaluations, model and agent behaviour monitoring, explainability, failure modes, latency, reliability and cost trade-offs. \nExperience establishing observability and operational controls for distributed platforms, including logging, tracing, metrics, alerting, incident response and service ownership. \nStrong communication and influencing skills, with the ability to explain complex technical choices to engineers, business stakeholders, control functions and senior leaders. \nCommercial and operational awareness, including experience balancing platform investment, cloud consumption, supplier choices, support overhead and sustainable value.\nThe knowledge, experience and qualifications that will help\nExperience operating AWS Landing Zone capabilities, including AWS Organizations, Control Tower and enterprise account governance.\nExperience with Python, TypeScript or another modern development language used to build platform services, integrations and agent tooling.\nExperience with Terraform, AWS CDK or CloudFormation and with modular, reviewable Infrastructure as Code. \nKnowledge of retrieval-augmented generation, vector stores, embeddings, knowledge integration and enterprise data access patterns. \nExperience with agent frameworks and AI development tooling such as Strands SDK, Anthropic tooling or comparable technologies. \nExperience building developer portals, service catalogues, skills marketplaces or reusable platform capability catalogues. \nExperience supporting different development archetypes, including professional developers, low-code users and citizen developers. \nRelevant AWS, architecture, security, software engineering or AI qualifications or certifications. \nEvidence of active learning, technical community contribution and the ability to assess emerging technologies pragmatically.\nWe Recognise Potential, Whoever You Are\nOur purpose is to deliver excellent investment performance to clients through active management. We believe diverse perspectives and an inclusive culture help us make better decisions and achieve better outcomes for our clients. That's why inclusion is a strategic priority for us, and we are an equal opportunities employer. You are welcome here, regardless of your age, disability, gender identity, religious beliefs, sexual orientation, socio-economic background, or any other protected characteristic.\nWe will consider flexible working arrangements for all roles and provide reasonable accommodations to support applicants and employees, including those with neurodiversity, disability, or physical and mental health needs. For more information, please visit our FAQs.","description_format":"text","description_chars":9955,"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":["Flexible schedule"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Wealth Management & Financial Advisors","Asset Management & Funds","Private Equity"],"lifecycle":[{"event":"open","at":"2026-10-27T13:04:29Z"}],"visa":[],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":1,"expected_fill_days":21,"reasons":["conf:1","velocity","win:early","comp:brand"],"computed_at":"2026-10-29T05:49:05Z"},"pay":null,"html_url":"https://alion.io/job/schroders-ai-platform-engineering-lead","json_url":"https://alion.io/job/schroders-ai-platform-engineering-lead.json","meta":{"generated_at":"2026-10-29T18:57:10Z","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":28152,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-30T00:00:00Z"}},"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":1759316},"rest":"https://alion.io/mcp/rest/get_company?id=1759316"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fschroders-ai-platform-engineering-lead"},{"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%2Fschroders-ai-platform-engineering-lead"},{"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%2Fschroders-ai-platform-engineering-lead"},{"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/schroders-ai-platform-engineering-lead\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fschroders-ai-platform-engineering-lead"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3334083}},{"tool":"search_jobs","arguments":{"company":"schroders.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3334083},"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. 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