{"id":3390418,"url":"https://alion.io/job/tasq-ai-engineer-manager-hybrid","title":"AI Engineer Manager | Hybrid","company":{"id":684584,"name":"TASQ","domain":"tasq.work","url":"https://alion.io/company/tasq-2","size_band":"1001-5000","is_staffing_agency":true,"employer_type":"agency","is_intermediary":false,"listed_via":null,"ats_vendor":"Workable","truth_index":{"grade":"B","score":73,"open_postings":196,"ghost_share":0.454,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":36,"computed_at":"2026-10-28T05:59:10Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":null,"work_mode":"hybrid","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":"Angular","optional":false},{"name":"AutoGen","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Docker","optional":false},{"name":"Embeddings","optional":false},{"name":"GCP","optional":false},{"name":"Git","optional":false},{"name":"Kubernetes","optional":false},{"name":"LangChain","optional":false},{"name":"LlamaIndex","optional":false},{"name":"Machine Learning","optional":false},{"name":"MATLAB","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Rest API","optional":false},{"name":"SQL","optional":false},{"name":"JavaScript","optional":true},{"name":"TypeScript","optional":true}],"status":"live","first_seen_at":"2026-10-28T09:44:25Z","employer_posted_date":"2026-10-28","last_verified_at":"2026-10-28T22:41:37Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"About the Job\nAs an AI Engineer Manager, you will lead multidisciplinary teams in the design, development, and deployment of data-driven solutions, transforming raw data into actionable insights that drive business growth. Within our Advisory practice, you will leverage advanced analytics and statistical techniques to extract insights from large datasets, enabling informed decision-making and solving complex business problems.\nAs a Manager, you will enhance your leadership style by motivating and developing your team to deliver quality results. You will be responsible for coaching and leveraging team members' unique strengths to meet client expectations. With your growing business knowledge, you will play a crucial role in identifying opportunities that contribute to the success of our firm. You are expected to lead with integrity and authenticity, articulating our purpose and values meaningfully.\nResponsibilities\nLeading data science initiatives to transform raw data into actionable insights for informed decision-making\nGuiding teams in the development and deployment of advanced data solutions using machine learning and artificial intelligence\nUtilizing statistical modeling and predictive analytics to address complex business challenges\nDesigning and implementing data pipelines and data lakes to support large-scale data processing\nOverseeing the creation of data visualizations to communicate insights effectively to stakeholders\nManaging project timelines and budgets to deliver data-driven solutions on schedule\nCoaching team members to enhance their skills in data science and analytics\nCollaborating with business leaders to identify opportunities for leveraging data to drive growth\nPromoting the adoption of innovative technologies and methodologies in data engineering and analytics\nConfirming data quality and compliance within analytics frameworks to maintain integrity\nMust Have\nAt least a Bachelor's degree\nAt least 7 to 11 years of experience\nOral and written proficiency in English required\nStrong full-stack or backend development skills, including Python, Angular or React, RESTful APIs, microservices, SQL/NoSQL databases, testing, and software architecture.\nHands-on experience building AI-integrated applications, using LLMs, RAG, embeddings, vector databases, and frameworks such as LangChain, LlamaIndex, or Autogen.\nProven cloud and DevOps capability, including Azure, AWS, or GCP deployment, Docker, Kubernetes, CI/CD, Git, security, reliability, and scalability. \nWhat Sets You Apart\nPreference for at least one of the following fields of study: Artificial Intelligence and Robotics, Business Analytics, Computer and Information Science, Computer Engineering, Computer Programming, Data Processing/Analytics/Science, Engineering, Information Technology, Machine Learning, Management Information Systems, Mathematics, Statistics, Systems Engineering\nDemonstrating proficiency in data science algorithms and workflows\nUtilizing machine learning and deep learning techniques effectively\nExcelling in complex data analysis and predictive modeling\nManaging data pipelines and confirming data quality\nLeveraging programming languages such as Python, R, and MATLAB\nEmbracing change and innovation in technology-driven environments","description_format":"text","description_chars":3269,"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":[{"language":"English","level":"Advanced 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