{"id":3320873,"url":"https://alion.io/job/singtel-senior-ai-engineer-aida-2","title":"Senior AI Engineer #AIDA","company":{"id":49912,"name":"Singtel","domain":"singtel.com","url":"https://alion.io/company/singtel","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SuccessFactors","truth_index":{"grade":"A","score":100,"open_postings":5,"ghost_share":0,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":23,"computed_at":"2026-10-31T05:58:55Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","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":59000,"max_usd":130000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":28},"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"GCP","optional":false},{"name":"gRPC","optional":false},{"name":"Human-in-the-Loop","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"LLM","optional":false},{"name":"LLMOps","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Node JS","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Rest API","optional":false},{"name":"SQL","optional":false},{"name":"TypeScript","optional":false},{"name":"JavaScript","optional":true}],"status":"live","first_seen_at":"2026-10-27T07:51:59Z","employer_posted_date":"2026-10-26","last_verified_at":"2026-10-31T16:22:29Z","board_verified":true,"closed_at":null,"days_open":4,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":4},"description":"An empowering career at Singtel begins with a Hello. Our purpose, to Empower Every Generation, connects people to the possibilities they need to excel. Every \"hello\" at Singtel opens doors to new initiatives, growth, and BIG possibilities that takes your career to new heights. So, when you say hello to us, you are really empowered to say…“Hello BIG Possibilities”.\nWe are seeking an experienced Lead AI Engineer to oversee the design and delivery of AI and Agentic AI solutions across the organisation. You will act as the technical lead who works closely with solution architects to translate business and system requirements into clear development tasks, technical designs, and implementation plans.\nYou will guide a team of AI engineers and software engineers, provide hands on technical direction, review solution quality, and ensure that all AI components and software modules are secure, scalable, and ready for production. The role requires deep applied AI development experience, strong full stack engineering capability across frontend and backend, and the ability to drive engineering excellence through mentorship and leadership.\nMake an Impact by:\nLead the end to end technical design of AI and Agentic AI solutions, ensuring alignment with enterprise architecture, security controls, and platform standards.\nTranslate high level requirements from architects and product owners into detailed technical specifications, development tasks, and implementation plans.\nOversee the full development lifecycle for AI, software, and automation workflows, providing hands on guidance and removing technical blockers for the team.\nProvide technical leadership across backend, frontend, API integration, LLM orchestration, agent frameworks, and workflow automation to ensure consistency and quality.\nReview and approve solution designs, architecture diagrams, data flows, and code contributions from senior and junior engineers.\nDrive the integration of AI solutions with enterprise systems, ensuring robust connectivity through APIs, MCP and other frameworks, while enforcing best practices.\nGuide the design of hybrid solutions that combine AI models, prompting logic, rule engines, middleware, RPA, and human in the loop elements in a coherent workflow.\nOversee the stability and performance of production systems, define monitoring strategies, and ensure issues are escalated and resolved quickly.\nEstablish engineering standards covering code quality, documentation, testing strategies, CI and CD practices, and security reviews.\nMentor and coach senior and junior AI engineers, provide structured guidance, and drive upskilling for full stack development, AI integration, and delivery discipline.\nWork closely with platform teams, cybersecurity, data engineering, product owners, and business stakeholders to ensure alignment and timely delivery.\nOwn risk identification and mitigation across AI solutions, including fallback strategies, model behaviour oversight, and protection against misuse or unexpected outputs.\nRepresent the AI engineering team in architecture discussions, solution reviews, and governance forums.\nAble to design and maintain RAG systems, including content ingestion, embedding, vector storage, retrieval tuning, and accuracy checks for enterprise use cases.\nDrive continuous improvement for the marketplace recommender engine, enterprise AI services, and core reusable components.\nCoordinate effort estimation, sprint planning, prioritisation, and resource allocation for the AI engineering team.\nEnsure delivered solutions are secure, scalable, compliant, and ready for production deployment.\nKeeping close watch on new developments in AI, running small proof of concept work to understand their value, and advising the team on which solutions are suitable for adoption.\nSkills for Success:\nBachelor’s or Master’s degree in Computer Science, Engineering, Artificial Intelligence or a related technical field. Candidates with advanced specialisation in full stack engineering or AI engineering are preferred.\nMore than 7 years of hands on experience delivering full stack software and AI solutions, with at least 2 to 3 years in a senior or technical lead capacity supervising engineers. Proven experience designing end to end AI and Agentic AI solutions.\nStrong full stack engineering capability across frontend, backend, API design and system integration, with deep proficiency in Python, TypeScript or NodeJS and SQL.\nExperienced in designing and leading implementation of LLM based and agentic AI systems, including orchestration patterns using frameworks such as LangChain or LangGraph.\nStrong capability in integrating AI solutions with enterprise platforms, covering RESTful APIs, gRPC, MCP and secure middleware components.\nSolid understanding of authentication and authorization patterns including OAuth2, JWT and SSO technologies.\nHands on experience designing scalable cloud deployments on Azure, AWS or GCP with good understanding of CI and CD practices.\nProven ability to conduct technical reviews, enforce engineering standards, and guide other engineers in code quality, architecture and system performance.\nProven ability to troubleshoot complex issues across frontend, backend, APIs, AI models and middleware in production environments.\nExperience in LLMOps/GenAIOps, MLOps, DevSecOps\nPassion for applied R&D, staying ahead of AI advancements, and bringing innovative ideas into production.\nStrong problem-solving ability, attention to detail, and ability to collaborate effectively across teams.\nCapable to work in a cross-functional team (Software/AI engineers, data platform, business users).\nExperience in building secure, enterprise-grade integrations.","description_format":"text","description_chars":5707,"description_truncated":false,"requirements":{"experience_years_min":2,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Mobile 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