{"id":779264,"url":"https://alion.io/job/temus-lead-ai-engineer","title":"Lead AI Engineer","company":{"id":685586,"name":"Temus","domain":"temus.com","url":"https://alion.io/company/temus","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"A","score":95,"open_postings":24,"ghost_share":0,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":199,"computed_at":"2026-11-07T05:47:08Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"lead","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Singapore"],"countries":["SG"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":62000,"max_usd":154000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":1286},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"AutoGen","optional":false},{"name":"CrewAI","optional":false},{"name":"LangGraph","optional":false},{"name":"Machine Learning","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"RAG","optional":false},{"name":"Amazon SageMaker","optional":true},{"name":"Ansible","optional":true},{"name":"Anthropic","optional":true},{"name":"AWS","optional":true},{"name":"AWS Bedrock","optional":true},{"name":"Azure","optional":true},{"name":"CI/CD","optional":true},{"name":"Claude Code","optional":true},{"name":"Computer Vision","optional":true},{"name":"Cursor","optional":true},{"name":"Datadog","optional":true},{"name":"Docker","optional":true},{"name":"Fine-tuning","optional":true},{"name":"Hugging Face","optional":true},{"name":"Kubeflow","optional":true},{"name":"Kubernetes","optional":true},{"name":"LangChain","optional":true},{"name":"LLM","optional":true},{"name":"MLFlow","optional":true},{"name":"NLP","optional":true},{"name":"OpenAI","optional":true},{"name":"Prompt Engineering","optional":true},{"name":"PyTorch","optional":true},{"name":"Recommender Systems","optional":true},{"name":"Reinforcement Learning","optional":true},{"name":"Scikit-learn","optional":true},{"name":"TensorFlow","optional":true},{"name":"Terraform","optional":true},{"name":"Time Series","optional":true},{"name":"Transformers","optional":true},{"name":"Vertex AI","optional":true}],"status":"live","first_seen_at":"2026-03-26T02:08:10Z","employer_posted_date":"2026-07-27","last_verified_at":"2026-11-07T10:47:22Z","board_verified":true,"closed_at":null,"days_open":226,"trust":{"level":"ok","repost_count":0,"flags":[],"days_open":226},"description":"Temus is a Temasek-backed consulting firm providing digital transformation solutions for the private and public sectors. We aspire to be a strategic partner in realising the Singapore Government’s Smart Nation vision. We are headquartered in Singapore and have more than 400 employees across a wide range of disciplines in strategy, design, architecture, technology, data & AI.\nYour Objectives\nSolve the hardest problems with AI to deliver social and economic value.\nDevelop and maintain relationships with a broad range of clients, colleagues, and partners across a variety of contexts and formats.\nBuild, lead and mentor a world-class team of AI and data engineers.\nMaintain a culture of excellence and lead with confidence, charisma, context, and humility working effectively at all levels.\nCreate and deliver technical blogs & thought leadership on AI.\nInvest continuously in building and extending your knowledge and skills.\nYour Background\nExceptional expertise in AI engineering, machine learning and data science.\nStrong hands-on technical and coding skills are a strong advantage for this role.\n7 years of experience delivering and managing AI solutions through incubation, proofs-of-concept, to deployment and commercialisation.\nProven experience designing and deploying agentic AI systems - including multi-agent orchestration, tool-use, retrieval-augmented generation (RAG), and autonomous task execution frameworks (e.g. LangGraph, AutoGen, CrewAI, or similar).\nCandidates should demonstrate strength in either AI Engineering or ML Engineering (see below). Strength in both is a plus.\nPlatform & Delivery \nAt least 5 years of implementation experience with serverless computing, CI/CD, containerisation, Infrastructure as Code, code version control and automated testing.\nBroad experience of model deployment, canary releases and implementation on cloud.\nExperience of automated data pipelines, data labelling, versioning and exploration.\nStrong ability to develop and maintain relationships amongst clients, colleagues, and partners.\nAbility to develop and deliver client proposals, and build consensus supported by detailed analysis, deep expertise and effective communication.\nDemonstrated ability to guide, develop and mentor AI and data engineers.\nDemonstrated ability to create technical blogs & thought leadership on AI.\nActive engagement in the AI community taking and giving courses, following podcasts, reading books, attending meetups, and developing projects.\nFamiliarity with agentic coding tools such as Claude Code, Cursor and Google Antigravity will be an advantage.\nYou should demonstrate strong proficiency in either AI Engineering or ML Engineering / MLOps. Proficiency in both is a significant advantage.\nAI Engineering (LLM & Agentic Systems)\nPractical hands-on experience with LLMs and agentic tooling: LangChain, LangGraph, AutoGen, CrewAI, OpenAI API, Anthropic API, AWS Bedrock, Google Vertex AI, Azure ML, Hugging Face Transformers, MLFlow, Dataiku, MS Fairlearn, Google PAIR.\nExperience with prompt engineering, fine-tuning, evaluation frameworks, and responsible AI tooling.\nML Engineering / MLOps\nPractical hands-on experience with ML development and deployment tooling: Jupyter, PyTorch, TensorFlow, Scikit-learn, AWS SageMaker, MLFlow, Docker, Kubernetes, Terraform, Ansible, Datadog.\nBroad experience of NLP, computer vision, classification & recommendation systems, reinforcement learning and time series.\nExperience designing and managing model experiment tracking and training workflows: hyperparameter tuning, cross-validation, experiment logging (e.g. MLFlow, Weights & Biases), and reproducible training runs.\nSolid understanding and hands-on experience with the MLOps lifecycle: data versioning, model training pipelines, experiment tracking, model registry, deployment, monitoring, drift detection, and retraining triggers - using platforms such as MLFlow, Weights & Biases, Kubeflow, AWS SageMaker Pipelines, Azure ML Pipelines, or Google Vertex AI Pipelines.\nTemus is an equal opportunities employer. We welcome applications from all. We do not discriminate by race, religion, belief, ethnicity, origin, disability, age, partnership status, sexual orientation, or gender identity.\nWe see the diversity of our team as a strategic advantage, and we work actively to maintain it.\nBy applying for this role, you have read and acknowledge the data privacy statement via this link - temus.com/job-applicant-data-protection/","description_format":"text","description_chars":4472,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["IT Consulting & Digital Transformation","Management Consulting"],"lifecycle":[{"event":"open","at":"2026-09-12T00:11:37Z"}],"visa":[],"liveness":{"score":37,"band":"fade","label":"Fading","p_open":1,"p_active":0.845,"p_room":0.44,"age_days":226,"expected_fill_days":199,"reasons":["conf:2","velocity","win:tail","crowd:"],"computed_at":"2026-11-07T05:47:08Z"},"pay":null,"html_url":"https://alion.io/job/temus-lead-ai-engineer","json_url":"https://alion.io/job/temus-lead-ai-engineer.json","meta":{"generated_at":"2026-11-07T12:25:04Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":13864,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-08T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":685586},"rest":"https://alion.io/mcp/rest/get_company?id=685586"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Ftemus-lead-ai-engineer"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Ftemus-lead-ai-engineer"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Ftemus-lead-ai-engineer"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/temus-lead-ai-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Ftemus-lead-ai-engineer"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":779264}},{"tool":"search_jobs","arguments":{"company":"temus.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":779264},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. Docs: https://alion.io/developers"}}