{"id":99038,"url":"https://alion.io/job/webellian-engineering-manager-ai","title":"Engineering Manager AI","company":{"id":1384,"name":"Webellian","domain":"webellian.com","url":"https://alion.io/company/webellian-sp-z-o-o","size_band":null,"is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"PeopleForce","truth_index":null},"role":"Leadership","role_family":"Leadership","seniority":"lead","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":[],"countries":[],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Kubernetes","optional":false},{"name":"LLM","optional":false},{"name":"NLP","optional":false},{"name":"Prompt Engineering","optional":false}],"status":"live","first_seen_at":"2026-08-23T11:16:17Z","employer_posted_date":"2026-10-23","last_verified_at":"2026-11-10T08:15:43Z","board_verified":true,"closed_at":null,"days_open":78,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":78},"description":"About the WebellianWebellian is a well-established Digital Transformation and IT consulting company committed to creating a positive impact for our clients. We strive to make a meaningful difference in diverse sectors such as insurance, banking, healthcare, retail, and manufacturing. Our passion for cutting-edge and disruptive technologies, as well as our shared values and strong principles, are what motivate us. We are a community of engineers and senior advisors who work with our clients across industries, playing a deep and meaningful role in accelerating and realizing their vision and strategy.\nAbout the position\nAs an Engineering Manager within an Advanced Analytics / AI organization at a large enterprise, you will manage AI engineering teams building agent-based AI services and conversational/voice AI systems that integrate with digital products.\nThe remit covers two delivery surfaces: agent-based AI services consumed by domain teams via APIs and voice/conversational AI experiences for customer-facing and operational use cases.\nYou will own people management, performance, hiring, resourcing, and delivery leadership. Technical decisions remain with senior engineers and technical leads in each team. Your role is to build the people structure, capacity, and ways of working that enable engineers to ship applied AI into production.\nYou will partner with peer Engineering Managers on cross-team dependencies, with AI governance stakeholders on compliance and ethics reviews, and with senior AI engineering leadership on production change management.\nKey Responsibilities\nManage and grow AI teams: hiring, onboarding, performance management, career development, and 1:1s for ML/AI engineers, computational linguists, conversational AI engineers, and AI specialists embedded with delivery teams.\nBalance engineering capacity across agent-based and voice/conversational AI capabilities in response to demand from product and domain teams; coordinate with senior leadership on team sizing and skill mix.\nCoordinate an embedded-AI-specialist model with backend engineering leadership: agree how specialists join product delivery, how their performance is reviewed, and how their work is balanced between embedded delivery and central capability building.\nCoach and develop technical leads across the teams, supporting them as authorities on prompt engineering, agent design, NLU/NLP, and voice-flow design while maintaining consistent standards.\nWork with AI governance stakeholders on compliance reviews covering model choices, data handling, bias, and relevant compliance requirements.\nCoordinate change windows for AI service rollouts and integrate AI releases into broader operational change processes.\nHelp balance AI roadmaps across agent and voice/conversational capabilities, ensuring investment is appropriately staged across individual and hybrid use cases.\nCoordinate with backend engineering leadership on how AI services are consumed in production.\nCoordinate with frontend engineering leadership on AI-driven UX patterns.\nWork with delivery leads on ceremonies, cross-team planning, and continuous improvement of delivery flow.\nRun hiring processes and design interview rubrics for ML/AI engineers, computational linguists, conversational AI engineers, and embedded AI specialists aligned with the team's applied-AI delivery model.\nRequired Experience and Skills8+ years of engineering experience, including at least 3 years in a people-management role leading applied AI, ML, or conversational AI delivery teams.\nTrack record managing approximately 6-15 engineers across at least two distinct teams or specialisations, such as ML engineering and conversational/voice AI.\nStrong technical literacy across the AI stack, sufficient to mentor and challenge technical teams without overriding their technical leads:LLM-based agent systems: prompt engineering, agent design patterns, evaluation, and retrieval augmentation.\nVoice and conversational AI platforms: NLU/NLP system design, speech-pipeline integration, and dialogue management.\nProduction deployment of AI services on Kubernetes, including API design, observability, latency, and cost control.\nEmbedded-specialist delivery models: placing specialists into product teams without losing central capability ownership.\n\nExperience running structured hiring at scale for AI roles, including rubric-based interviews, calibration, and onboarding programmes.\nExperience with formal performance-management cycles, career frameworks, and compensation calibration.\nComfortable working with formal AI governance and ethics review processes, with familiarity with AI compliance requirements in regulated industries.\nDemonstrated ability to coordinate across organisational boundaries, including peer Engineering Managers, governance stakeholders, backend and frontend delivery teams, and external vendors.\nWays of WorkingLeads through coaching rather than directing; technical authority remains with senior engineers and technical leads.\nComfortable in agile, iterative delivery environments, with a clear bias toward unblocking teams rather than centralising decisions.\nPragmatic about applied AI: focused on shipping AI capabilities into production for measurable business outcomes rather than research for its own sake.\nClear communicator across global, cross-functional stakeholders; able to translate AI capability and reliability into business impact for non-technical audiences.\nPragmatic adopter of AI-assisted developer tools and supports teams in integrating them into daily delivery.\nNice to HaveExperience leading distributed AI delivery teams.\nBackground in voice or conversational AI at production scale, such as contact-centre automation or voice-first product experiences.\nExperience operating an embedded-specialist model alongside a central capability team.\nExperience with AI governance frameworks, including model cards, bias audits, and regulatory attestations.\nExperience in insurance or financial-services domains, including claims, policy, or payments.\nExperience in regulated industries such as insurance, finance, or healthcare, where compliance, audit, and access control are part of standard delivery practice.\n What we offerContract under Polish law: B2B or Umowa o Pracę\nBenefits such as private medical care, group insurance, Multisport card\nThere are English classes available\nHybrid work (at least 1 day per quater on-site) in Warsaw (Mokotów)\nOpportunity to work with excellent professionals\nHigh standards of work and focus on the quality of code\nNew technologies in use\nContinuously learning and growth\nInternational team\nPinball, PlayStation & much more (on-site)","description_format":"text","description_chars":6675,"description_truncated":false,"requirements":{"experience_years_min":8,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Hybrid work"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["IT Consulting & Digital Transformation","Custom Software Development","AI Consulting & 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