{"id":2379063,"url":"https://alion.io/job/pmconsulting-ai-engineer-genai-mlops","title":"AI Engineer (GenAI & MLOps)","company":{"id":4421389,"name":"PM Consulting","domain":"pmconsulting.ph","url":"https://alion.io/company/pmconsulting-2","size_band":"1001-5000","is_staffing_agency":true,"employer_type":"agency","is_intermediary":false,"listed_via":null,"ats_vendor":"Manatal","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Taguig, Philippines"],"countries":["PH"],"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":"Azure","optional":false},{"name":"ITIL","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"MLFlow","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"ServiceNow","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-10-12T18:59:17Z","employer_posted_date":"2026-10-12","last_verified_at":"2026-10-14T09:55:23Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"Role Overview\nAn AI Engineer specializing in Generative AI (GenAI) is responsible for designing, developing, and deploying intelligent solutions that address business needs. This role focuses on prompt engineering, scalable model integration, and ensuring production readiness through established MLOps practices.\nKey Responsibilities\nGenAI & Prompt Engineering\nDesign, test, and refine prompts to improve the quality, accuracy, and relevance of large language model (LLM) outputs.\nTailor prompt strategies to align with specific business use cases and domain requirements.\nBusiness & Stakeholder Collaboration\nWork closely with stakeholders and subject matter experts to understand business processes, terminology, and challenges.\nTranslate business requirements into effective AI-driven solutions.\nMLOps & Deployment\nDevelop, deploy, and maintain GenAI pipelines using tools such as MLflow or Azure Machine Learning.\nEnsure solutions are scalable, reliable, and maintainable in production environments.\nResponsible AI Practices\nImplement ethical AI principles, including fairness, transparency, and data security.\nAddress risks such as bias and ensure model explainability where applicable.\nCore Responsibilities\nAnalyze business requirements and design appropriate technical solutions.\nDevelop and implement applications in collaboration with cross-functional teams.\nFollow established Software Development Lifecycle (SDLC) practices and contribute to continuous improvement initiatives.\nDeliver solutions within defined scope, timelines, and budget constraints.\nEscalate complex issues when necessary and adhere to organizational delivery standards.\nEnsure compliance requirements are met and assess potential customer impact.\nProvide support during testing, deployment, and post-implementation phases.\nEstimate effort, track progress, and manage assigned deliverables effectively.\nMaintain accuracy, quality, and timeliness of outputs.\nMentor junior team members and support knowledge sharing initiatives.\nIdentify, assess, and mitigate risks within the domain, supporting stakeholders in making informed decisions.\nWork Experience\nRequired\nRelevant professional experience in software development, AI, or related fields.\nPreferred\nExperience working with relational databases and SQL.\nExposure to ServiceNow development.\nQualifications\nBachelor’s degree or equivalent combination of education and experience in a relevant field.\nITIL certification.\nServiceNow Certified System Administrator (CSA) certification.\nAdditional Notes\nCandidates with hands-on experience in GenAI tools, prompt engineering, and MLOps practices will be highly regarded.\nStrong analytical thinking, problem-solving skills, and collaboration abilities are essential for success in this 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