{"id":2696461,"url":"https://alion.io/job/xm-ai-engineering-enablement-expert","title":"AI Engineering Enablement Expert","company":{"id":56888,"name":"XM","domain":"xm.com","url":"https://alion.io/company/xm-com","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Lever","truth_index":{"grade":"B","score":73,"open_postings":63,"ghost_share":0.365,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":212,"computed_at":"2026-10-16T05:45:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Limassol, Cyprus","Nicosia, Cyprus","Athens, Greece","Thessaloniki, Greece"],"countries":["CY","GR"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":53000,"max_usd":136000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":2102},"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"CI/CD","optional":false},{"name":"Machine Learning","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Prompt Engineering","optional":false}],"status":"live","first_seen_at":"2026-10-15T09:21:13Z","employer_posted_date":"2026-10-15","last_verified_at":"2026-10-17T02:38:25Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"The Role:\nWe are looking for a Software Development AI Technical Expert to serve as the department’s designated AI specialist and lead the responsible evaluation, adoption and practical application of AI across Software Development and Software Quality Assurance.\nThe role will research emerging AI technologies, support experimentation and pilot projects, and translate successful solutions into practical tools, standards and development practices. You will provide technical guidance on AI-enabled development, code quality, security, AI advocacy, capability building and impact measurement.\nYou will work closely with Software Development and Software Quality Assurance teams to develop practical, responsible and measurable AI-native ways of working that improve productivity, quality, security and innovation.\nThe main responsibilities of the position include:\nAct as the subject-matter specialist for AI-enabled Software Development and Software Quality Assurance, maintaining current knowledge of large language models, AI development tools, AI agents and emerging technologies.\nResearch and benchmark AI applications, tools, vendors and industry practices, assessing their relevance, maturity, limitations, security and potential value to the organisation.\nProvide expert advice on the practical and technical application of AI across the Software Development Lifecycle, from requirements and design through coding, testing, deployment and monitoring.\nExplore, prototype and evaluate AI capabilities and use cases, defining clear objectives, success criteria, evaluation methods and recommendations.\nContribute to AI pilots from concept through implementation and evaluation, identifying lessons learned, adoption requirements and opportunities for scaling successful solutions.\nSupport the transition of approved AI tools and practices into Software Development and Software Quality Assurance, including AI code assistants, automated code review, AI-supported testing and intelligent CI/CD practices.\nDevelop guidance, standards and best practices for the responsible use of AI and AI-generated code, covering quality assurance, security, data protection, intellectual property, maintainability and human oversight.\nEstablish and monitor measures of AI effectiveness and impact, including output quality, reliability, usability, developer experience, cycle time, defect rates, deployment frequency, test coverage and rework.\nAssess the AI maturity of Software Development and Software Quality Assurance teams and recommend practical actions to improve organisational capability.\nSupport cultural change, knowledge-sharing and upskilling through playbooks, prompt libraries, FAQs, onboarding materials, reusable templates, case studies and communities of practice.\nCollaborate with stakeholders across IT, the Group and other departments to identify and assess AI opportunities aligned with business priorities, roadmaps and projects.\nCollaborate with AI representatives across the Group to share knowledge and support a coordinated approach to AI adoption.\nMaintain relationships with vendors, research communities and industry peers, bringing relevant developments and insights back to the organisation.\nRepresent the Group, when requested, at conferences, external events and industry forums, contributing to presentations, demonstrations, articles and other technology-related activities.\nMain requirements:\nBSc/MSc in Computer Science, Data Science, Engineering or a related field, or equivalent practical experience.\nAt least 7 years of experience in IT engineering roles, including experience in a managerial or leadership role within a Software Development team.\nSolid working knowledge of the modern AI landscape, including Large Language Models, AI agents, automation platforms, prompt engineering techniques and practical business applications.\nDemonstrated experience modernising or transforming software development lifecycles through AI tooling and automation.\nDeep understanding of modern SDLC practices, including CI/CD, DevOps and platform engineering, combined with hands-on experience with AI-powered development tools.\nStrong Machine Learning and AI background, with hands-on experience building, prototyping or deploying AI solutions.\nExperience contributing to governance frameworks covering quality assurance, security review or intellectual property considerations for AI-generated outputs.\nSolid understanding of IT engineering metrics and data-driven measurement of development performance.\nExposure to AI or IT engineering maturity models and experience assessing team capabilities against defined frameworks.\nExperience evaluating technology vendors and AI tooling through trials, benchmarking and recommendations.\nExperience presenting to and working directly with senior or C-level stakeholders.\nPublic speaking or conference presentation experience in AI or technology, with the ability to inspire technical and non-technical audiences.\nInnovative and curious mindset, with the ability to explore emerging technologies, challenge unsupported claims and identify practical applications.\nProficiency in written and spoken English.\nAbility to work independently and collaboratively in fast-paced environments.\nStrong analytical and problem-solving skills.\nStrong organisational skills, with the ability to manage multiple initiatives and priorities.\nWillingness and ability to continuously learn and upskill.\nThe following will be considered an advantage:\nExperience in fintech, trading or financial services.\nExperience working with or within an innovation lab or applied research environment.\nExperience with AI or IT engineering maturity frameworks.\nExperience representing an organisation at external technology events and industry forums.\nBenefit from:\nAttractive remuneration package\nIntellectually stimulating work environment\nContinuous personal development and international training opportunities\nAttractive relocation package and support for a smooth relocation for you and your family\nThe Hiring Experience: What Awaits You\nLet’s Connect - Intro Chat with Talent Acquisition\nDeep Dive - First Interview with Your Future Team\nFinal Connection - Final 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