{"id":1536867,"url":"https://alion.io/job/hcltech-gcp-application-senior-technical-lead-2","title":"GCP Application Senior Technical Lead","company":{"id":225,"name":"HCLTech","domain":"hcltech.com","url":"https://alion.io/company/hcltech","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SuccessFactors","truth_index":null},"role":"Backend","role_family":"Backend","seniority":"lead","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":[],"countries":[],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Anomaly Detection","optional":false},{"name":"GraphRAG","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"SQL","optional":false},{"name":"LangChain","optional":true},{"name":"LlamaIndex","optional":true},{"name":"LLM","optional":true},{"name":"NLP","optional":true}],"status":"live","first_seen_at":"2026-09-30T19:16:48Z","employer_posted_date":"2026-09-30","last_verified_at":"2026-10-14T11:08:25Z","board_verified":true,"closed_at":null,"days_open":13,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":13},"description":"Job Summary\nWe are looking for an enthusiastic AI Engineer who enjoys continuous learning and who is not afraid of getting their hands dirty with the data. Continuously following the AI trends is a must for our global customers, hence you need to be up to date on how technology has been changing in the last year. On top of that, having a good understanding of classic data science and machine learning techniques is necessary as the solutions are often a mesh of multiple technologies. You should have a team player attitude, who can ask and share their ideas without hesitation.\nAs an AI Engineer you would help our clients make data-driven decisions for Fortune 500 companies using classical machine learning, data analysis as well as cutting edge technologies with GenAI solutions.\nSome of our recent projects:\nWe are creating a multi-agent platform that supports the full data lifecycle of our customers\nWe improve the natural language-to-SQL AI evaluator of a major tech giant\nWe provide several automation solutions for manufacturing clients involving AI and classic ML methods as well\nWe support the MLOps activities for a retail company, we review and optimize their hosted AI and DS solutions on their cloud platform\nWhat You Will Do Daily\nCreating GenAI applications tailored to the client’s needs, environment, and available data\nWriting clean, well-documented and efficient code (mainly in Python)\nBuilding machine learning models (classification, regression, clustering, anomaly detection, etc.)\nPresenting results to customers and the community\nImproving and refreshing existing data science products\nParticipate in new project discovery and technical proposal creation\nQualifications\nApply, If You Have\n3+ years of experience in Data Science / AI\nHands-on experience in Python and data preparation techniques (additional R/SQL knowledge is an advantage)\nUnderstand Large Language Models (LLMs), Retrieval Augmented Generation (RAG) and the transformer architecture (graph RAG is a plus)\nUnderstand MCPs, comfortably handle model usage monitoring and token utilization concepts in LLM applications\nDemonstrated knowledge of a version control tool (preferably git)\nDeep understanding of data science and machine learning frameworks\nAbility to understand business requirements and translate them into technical requirements\nExperience working with cloud-based technologies\nExperience with Generative AI technology platform offerings (open-source Lang chain/Llama Index, or other 3rd party platforms) and tools\nHands-on NLP technology experience is a plus\nTeam player attitude\nWell-developed written and oral communication skills both in English and in Hungarian\nKey Responsibilities\nWe are looking for an enthusiastic AI Engineer who enjoys continuous learning and who is not afraid of getting their hands dirty with the data. Continuously following the AI trends is a must for our global customers, hence you need to be up to date on how technology has been changing in the last year. On top of that, having a good understanding of classic data science and machine learning techniques is necessary as the solutions are often a mesh of multiple technologies. You should have a team player attitude, who can ask and share their ideas without hesitation.\nAs an AI Engineer you would help our clients make data-driven decisions for Fortune 500 companies using classical machine learning, data analysis as well as cutting edge technologies with GenAI solutions.\nSome of our recent projects:\nWe are creating a multi-agent platform that supports the full data lifecycle of our customers\nWe improve the natural language-to-SQL AI evaluator of a major tech giant\nWe provide several automation solutions for manufacturing clients involving AI and classic ML methods as well\nWe support the MLOps activities for a retail company, we review and optimize their hosted AI and DS solutions on their cloud platform\nWhat You Will Do Daily\nCreating GenAI applications tailored to the client’s needs, environment, and available data\nWriting clean, well-documented and efficient code (mainly in Python)\nBuilding machine learning models (classification, regression, clustering, anomaly detection, etc.)\nPresenting results to customers and the community\nImproving and refreshing existing data science products\nParticipate in new project discovery and technical proposal creation\nQualifications\nApply, If You Have\n3+ years of experience in Data Science / AI\nHands-on experience in Python and data preparation techniques (additional R/SQL knowledge is an advantage)\nUnderstand Large Language Models (LLMs), Retrieval Augmented Generation (RAG) and the transformer architecture (graph RAG is a plus)\nUnderstand MCPs, comfortably handle model usage monitoring and token utilization concepts in LLM applications\nDemonstrated knowledge of a version control tool (preferably git)\nDeep understanding of data science and machine learning frameworks\nAbility to understand business requirements and translate them into technical requirements\nExperience working with cloud-based technologies\nExperience with Generative AI technology platform offerings (open-source Lang chain/Llama Index, or other 3rd party platforms) and tools\nHands-on NLP technology experience is a plus\nTeam player attitude\nWell-developed written and oral communication skills both in English and in Hungarian\nSkill Requirements\nWe are looking for an enthusiastic AI Engineer who enjoys continuous learning and who is not afraid of getting their hands dirty with the data. Continuously following the AI trends is a must for our global customers, hence you need to be up to date on how technology has been changing in the last year. On top of that, having a good understanding of classic data science and machine learning techniques is necessary as the solutions are often a mesh of multiple technologies. You should have a team player attitude, who can ask and share their ideas without hesitation.\nAs an AI Engineer you would help our clients make data-driven decisions for Fortune 500 companies using classical machine learning, data analysis as well as cutting edge technologies with GenAI solutions.\nSome of our recent projects:\nWe are creating a multi-agent platform that supports the full data lifecycle of our customers\nWe improve the natural language-to-SQL AI evaluator of a major tech giant\nWe provide several automation solutions for manufacturing clients involving AI and classic ML methods as well\nWe support the MLOps activities for a retail company, we review and optimize their hosted AI and DS solutions on their cloud platform\nWhat You Will Do Daily\nCreating GenAI applications tailored to the client’s needs, environment, and available data\nWriting clean, well-documented and efficient code (mainly in Python)\nBuilding machine learning models (classification, regression, clustering, anomaly detection, etc.)\nPresenting results to customers and the community\nImproving and refreshing existing data science products\nParticipate in new project discovery and technical proposal creation\nQualifications\nApply, If You Have\n3+ years of experience in Data Science / AI\nHands-on experience in Python and data preparation techniques (additional R/SQL knowledge is an advantage)\nUnderstand Large Language Models (LLMs), Retrieval Augmented Generation (RAG) and the transformer architecture (graph RAG is a plus)\nUnderstand MCPs, comfortably handle model usage monitoring and token utilization concepts in LLM applications\nDemonstrated knowledge of a version control tool (preferably git)\nDeep understanding of data science and machine learning frameworks\nAbility to understand business requirements and translate them into technical requirements\nExperience working with cloud-based technologies\nExperience with Generative AI technology platform offerings (open-source Lang chain/Llama Index, or other 3rd party platforms) and tools\nHands-on NLP technology experience is a plus\nTeam player attitude\nWell-developed written and oral communication skills both in English and in Hungarian\nOther Requirements\nWe are looking for an enthusiastic AI Engineer who enjoys continuous learning and who is not afraid of getting their hands dirty with the data. Continuously following the AI trends is a must for our global customers, hence you need to be up to date on how technology has been changing in the last year. On top of that, having a good understanding of classic data science and machine learning techniques is necessary as the solutions are often a mesh of multiple technologies. You should have a team player attitude, who can ask and share their ideas without hesitation.\nAs an AI Engineer you would help our clients make data-driven decisions for Fortune 500 companies using classical machine learning, data analysis as well as cutting edge technologies with GenAI solutions.\nSome of our recent projects:\nWe are creating a multi-agent platform that supports the full data lifecycle of our customers\nWe improve the natural language-to-SQL AI evaluator of a major tech giant\nWe provide several automation solutions for manufacturing clients involving AI and classic ML methods as well\nWe support the MLOps activities for a retail company, we review and optimize their hosted AI and DS solutions on their cloud platform\nWhat You Will Do Daily\nCreating GenAI applications tailored to the client’s needs, environment, and available data\nWriting clean, well-documented and efficient code (mainly in Python)\nBuilding machine learning models (classification, regression, clustering, anomaly detection, etc.)\nPresenting results to customers and the community\nImproving and refreshing existing data science products\nParticipate in new project discovery and technical proposal creation\nQualifications\nApply, If You Have\n3+ years of experience in Data Science / AI\nHands-on experience in Python and data preparation techniques (additional R/SQL knowledge is an advantage)\nUnderstand Large Language Models (LLMs), Retrieval Augmented Generation (RAG) and the transformer architecture (graph RAG is a plus)\nUnderstand MCPs, comfortably handle model usage monitoring and token utilization concepts in LLM applications\nDemonstrated knowledge of a version control tool (preferably git)\nDeep understanding of data science and machine learning frameworks\nAbility to understand business requirements and translate them into technical requirements\nExperience working with cloud-based technologies\nExperience with Generative AI technology platform offerings (open-source Lang chain/Llama Index, or other 3rd party platforms) and tools\nHands-on NLP technology experience is a plus\nTeam player attitude\nWell-developed written and oral communication skills both in English and in Hungarian","description_format":"text","description_chars":10726,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[{"language":"English","level":"All levels","optional":false}]},"benefits":["Continuous learning"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Commerce","IT Consulting & Digital Transformation","IT Outsourcing & Dedicated Teams","Systems Integrators"],"lifecycle":[{"event":"open","at":"2026-09-30T19:16:48Z"}],"visa":[],"liveness":{"score":62,"band":"ok","label":"Likely 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