{"id":989055,"url":"https://alion.io/job/barings-forward-deployed-ai-engineer","title":"Forward Deployed AI Engineer","company":{"id":707087,"name":"Barings","domain":"barings.com","url":"https://alion.io/company/barings-2","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":83,"open_postings":3,"ghost_share":0,"stale_share":0.667,"repost_share":0,"time_to_fill_p50_days":45,"computed_at":"2026-11-07T05:47:08Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["London, United Kingdom"],"countries":["GB"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":73000,"max_usd":194000,"period":"year","method":"role_country_seniority_unknown","sample_n":168},"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":"AutoGen","optional":false},{"name":"Claude","optional":false},{"name":"Copilot","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"LLM","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Rest API","optional":false},{"name":"Copilot Studio","optional":true}],"status":"live","first_seen_at":"2026-09-15T00:00:00Z","employer_posted_date":"2026-09-15","last_verified_at":"2026-11-07T01:26:58Z","board_verified":true,"closed_at":null,"days_open":53,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":53},"description":"At Barings, we are as invested in our associates as we are in our clients. We recognize those who work diligently for us and reward them for personal and professional integrity, communication skills, distinct competencies and expertise in specific strategies, ability to collaborate as a team member and true dedication to the interests of our clients.\nWe thank you for your interest in joining the Barings team, and invite you to explore our current employment opportunities.\nJob Title: Forward Deployed AI Engineer\nBusiness Title: Senior Associate\nDepartment: Global Technology - Innovation & Data Insights\nLocation: London, UK\nRole Summary\nBarings is scaling the safe, governed adoption of AI across the firm, and the Innovation & Data Insights team within the Global Technology Division sits at the centre of that effort - pairing deep asset-management business domain knowledge with hands-on engineering to turn emerging AI capability into working solutions. We are seeking a Forward Deployed AI Engineer to embed directly with our Investment, Client & Support teams, to understand their workflows first-hand, and build AI-powered solutions that deliver measurable and tangible value.\nThis is a hands-on, delivery-focused role. You will scope and prototype rapidly, validate with the business, and ship production-grade solutions spanning automation, workflow orchestration, and client-facing tooling - using AI-native tooling across the entire lifecycle, from design and testing through to documentation. You will build on platforms such as Microsoft (Copilot, Cowork, Studio, Foundry) then work with engineering and the broader AI platform team to generalize what you learn into reusable platform capabilities.\nThe successful candidate combines strong business understanding across asset management with genuine software-engineering depth and daily fluency in AI-native development tools. You will be equally comfortable distilling an ambiguous business problem, writing production code, and teaching a team to use AI effectively and responsibly.\nThe Opportunity\nApply cutting-edge AI to complex professional settings and real investment workflows, developing deep expertise with leading LLMs.\nBuild intimate domain expertise in how our users work - from credit agreements to lease documents - so that solutions fit the real workflow.\nBecome a core, trusted AI advisor to our stakeholders, driving adoption, value, and growth.\nOptimise processes for scale by defining and continually enhancing the internal workflows that shape and improve how we work.\nOwn problems in ambiguity, operating with autonomy in fast-moving, unstructured environments - quickly distilling complex problems, learning on the fly, and driving to actionable solutions across customer and product needs.\nKey Responsibilities\nSolution design & delivery\nUnderstand the business problem first, then leverage AI tools to accelerate solution design, building analytics and modelling solutions grounded in domain expertise.\nPartner with Business stakeholders, and architects to design, prototype, and deliver AI-powered solutions spanning automation, workflow orchestration, and client-facing tooling.\nRun tasks end-to-end, from scoping and prototyping through to deployment, using AI-native tooling throughout - not just for coding, but across design, testing, and documentation.\nWrite production code that deploys through our pipelines and meets our engineering standards.\nBuild custom integrations, workflow automations, and domain-specific solutions on top of Barings AI platform, including connectors to business data sources and document management systems.\nPrototype fast, validate with the business, iterate, and ship.\nForward-deployed engagement\nOwn the technical relationship with the business team throughout each engagement.\nSupport the delivery of investment, client & operational workflows, identify high-value AI use cases, and build proofs of concept that demonstrate measurable impact.\nReturn from engagements and work with engineering and product to generalise reusable patterns into platform capabilities.\nParticipate in architecture discussions alongside core engineering.\nEnablement & training\nDeliver hands-on training, office hours, demos, and documentation that teach effective and responsible use of AI tooling - including prompting practices, workflow integration, and limitations.\nPlatform contribution & feedback loop\nBuild and contribute to AI platform architecture standards, including prompt-engineering patterns, agentic workflow design, and LLM integration guidelines.\nCollaborate with the wider technology and AI Platform teams to specify the dependencies analytical solutions require, such as data, development environments, and tooling.\nCollect, structure, and synthesise user feedback, pain points, and feature requests, translating them into clear requirements and prioritised recommendations for the AI Platform team.\nIdentify patterns across teams to surface high-impact opportunities, quantify potential impact, and highlight use cases with broader applicability across the wider AI organisation.\nResponsible AI, risk & control\nChampion responsible AI usage, ensuring deployments adhere to firm policies on data security, model governance, and compliance.\nDemonstrate conformance to all Barings Enterprise Risk Management policies.\nEnsure all development activities are undertaken within the defined control environment.\nRequired Skills & Experience\nSoftware engineering experience with demonstrable, recent use of AI-native development tools as a core part of your daily workflow.\nDaily proficiency with AI coding tools such as Claude or GitHub Copilot.\nHands-on LLM integration experience.\nWorking knowledge of MCP (Model Context Protocol), REST APIs, and microservices architecture.\nCloud platform experience.\nExperience with agentic frameworks such as LangChain, LangGraph, AutoGen, or similar.\nStrong analytical skills - the ability to understand a business problem first, then apply AI tools to accelerate solution design.\nStrong business understanding across asset management, with relevant domain expertise across investments, operations, data, and workflows.\nInitiative and ownership, with a track record of running tasks end-to-end with autonomy.\nPreferred Qualifications\nExperience with external market providers such as Hebbia or comparable enterprise AI intelligence and agentic research platforms.\nExperience with Microsoft 365 Copilot, Copilot Cowork, and Copilot Studio.\nFamiliarity with prompt-engineering patterns and agentic workflow design.\nExperience building connectors to document management systems and enterprise data sources.\nExperience delivering enablement - training, office hours, and documentation - to non-technical audiences.\nIndustry Experience (Preferred)\nExperience within asset management, financial services, or another regulated industry is strongly preferred. Familiarity with investment, operations, and data workflows - and with the documents that underpin them, such as credit agreements and lease documents - will help you build credibility and deliver value quickly.\nRequisite Skills\nAdditional Skills\nBarings is an Equal Employment Opportunity employer; Minority/Female/Age/SexualOrientation/Gender Identity/Individual with Disability/Protected Veteran. 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