{"id":1249028,"url":"https://alion.io/job/gic-avpvp-ai-engineer-technology-group","title":"AVP/VP, AI Engineer, Technology Group","company":{"id":2761,"name":"GIC","domain":"gic.com.sg","url":"https://alion.io/company/gic","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SuccessFactors","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"head","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":67000,"max_usd":176000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":67},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"A2A","optional":false},{"name":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"Amazon EKS","optional":false},{"name":"Amazon SageMaker","optional":false},{"name":"ArgoCD","optional":false},{"name":"AutoGen","optional":false},{"name":"AWS","optional":false},{"name":"AWS Bedrock","optional":false},{"name":"AWS Lambda","optional":false},{"name":"AWS Step Functions","optional":false},{"name":"CI/CD","optional":false},{"name":"Context Engineering","optional":false},{"name":"CrewAI","optional":false},{"name":"Docker","optional":false},{"name":"DynamoDB","optional":false},{"name":"FastAPI","optional":false},{"name":"GitHub Actions","optional":false},{"name":"gRPC","optional":false},{"name":"IAM","optional":false},{"name":"Kubernetes","optional":false},{"name":"LangGraph","optional":false},{"name":"LLM","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"OpenAI Agents SDK","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Python","optional":false},{"name":"Semantic Kernel","optional":false},{"name":"Structured Outputs","optional":false},{"name":"Terraform","optional":false},{"name":"Agile","optional":true},{"name":"Apache Kafka","optional":true},{"name":"Arize Phoenix","optional":true},{"name":"LangChain","optional":true},{"name":"Langfuse","optional":true},{"name":"Multi-Agent Systems","optional":true},{"name":"OpenTelemetry","optional":true},{"name":"Redis","optional":true}],"status":"live","first_seen_at":"2026-09-18T16:00:00Z","employer_posted_date":"2026-09-18","last_verified_at":"2026-09-29T15:36:17Z","board_verified":false,"closed_at":null,"days_open":13,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":13},"description":"About GIC\nGIC is one of the world's largest sovereign wealth funds. With over 2,000 employees across 11 locations around the world, we invest in more than 40 countries globally across asset classes and businesses. Working at GIC gives you exposure to an extraordinary network of the world's industry leaders. As a leading global long-term investor, we work at the Point of Impact for Singapore's financial future, and the communities we invest in worldwide.\nTechnology Group\nWe experiment, design, and lead a 24×7 global business where we support core capabilities in asset management, trading, investment operations, and risk management. We deliver secure, reliable, and integrated solutions, and provide insights on new and emerging technologies.\nStrategy, Architecture, and Transformation Group\nThe Strategy, Architecture & Transformation (SAT) group shapes and drives GIC’s technology strategy, ensuring alignment with business priorities and enterprise goals. Bringing together expertise in strategy, architecture, engineering, and transformation, the team strengthens governance, promotes consistency, and accelerates delivery across the Technology Group. Through modern practices and close collaboration, SAT leads the development of an architectural strategy that reinforces oversight and accountability while enabling reliable, scalable solutions and informed decision making across the Technology Group and, more broadly, across GIC.\nAI Engineering\nThe AI Engineering team within SAT is driving GIC's transformation from AI-enabled to AI-native. We build and operate the foundational AI platform - gateway, agent runtime, agentic IAM, memory, observability, and more - so that every team across GIC can develop and deploy AI agents that are secure, observable, and production-grade.\nWhat impact can you make in this role?\nAs a Senior AI Engineer on the core platform team, you will be the technical anchor for the most complex problems in the stack - how agents run, scale, fail, recover, and compose in production. You will own the architecture and technical direction of the agent runtime, orchestrating multi-step workflows, managing durable state, scaling agent workloads, and connecting agents to tools, data, and other agents.\nYou will make pragmatic technology choices - knowing when to adopt a framework, when to extend one, and when to build an abstraction layer that keeps the team from getting locked in. You are a platform engineer who enables dozens of teams to run hundreds of agents reliably, securely, and at enterprise scale.\nOwn the agent runtime architecture - design and evolve the execution layer, including lifecycle management, workflow orchestration, durable execution (Temporal), state checkpointing, and compute scheduling\nScale agentic workflows in production - solve the hard problems of running agents at scale: long-running workflows, parallelism, delegation, backpressure, rate limiting, and graceful degradation under load\nDrive technical direction across the platform - lead architecture decisions for distributed-systems concerns such as state management, event-driven communication, context engineering, multi-agent coordination, and protocol selection (MCP, A2A)\nBuild for resilience from day one - embed reliability patterns like circuit breakers, retries with jitter, dead-letter queues, idempotent operations, and chaos-testable interfaces\nShape the agent framework strategy - evaluate, adopt, and extend frameworks (LangGraph, CrewAI, OpenAI Agents SDK, Semantic Kernel) with clear trade-offs\nArchitect the memory and state layer - design boundaries between runtime state and durable agent memory to ensure agents can remember, resume, and improve across sessions\nHarden the platform as we build it - embed production-readiness from the first sprint: structured logging, distributed tracing, health checks, deployment safety, and operational runbooks\nMentor and raise the engineering bar - set technical standards for code review, system design, testing strategy, and documentation; make the team better through reviews and pairing\nWhat will you do as an AI Engineer?\nYou will design and evolve the agent runtime - the execution layer that orchestrates multi-step workflows, manages durable state, scales workloads, and connects agents to tools and other agents. You will work across all platform capabilities (gateway, IAM, memory, observability) because the runtime touches all of them.\nLead architecture and technical direction for the agent runtime and related distributed systems.\nOperate agentic workflows at scale, ensuring reliability, fault tolerance, and performance under tight latency budgets.\nCollaborate with SRE and platform teams to embed resilience and observability patterns.\nEvaluate and extend agent frameworks and build abstraction layers for portability and stability.\nDesign the memory and state layers for long-term agent learning and continuity.\nContribute to the early-stage buildout of a new AI platform, embedding production-readiness from day one.\nMentor engineers and uphold high standards for design, testing, and documentation.\nWhat makes you a successful candidate?\n Must Have:8+ years in software or platform engineering, with at least 3 years building or operating AI/ML infrastructure or agentic systems at scale\nDeep distributed-systems expertise - hands-on experience with state management, consistency, fault tolerance, and concurrency\nProduction agentic systems experience - operating multi-step workflows or autonomous systems with non-deterministic behaviour and complex failure modes\nDurable execution mastery - experience with workflow engines (Temporal preferred, Step Functions, Inngest, or equivalent)\nPython mastery - building production-grade services (FastAPI / gRPC), shared libraries, and SDKs\nAgent framework depth - hands-on experience with LangGraph, CrewAI, Autogen, Semantic Kernel, or OpenAI Agents SDK\nLLM integration at scale - experience with model routing, fallback strategies, structured output parsing, streaming, and provider failover\nSystem design leadership - producing architecture decisions, API contracts, and technical specs that withstand scrutiny\nComfort with containers, orchestration, and IaC (Docker, Kubernetes/EKS, Terraform/CDK) and CI/CD pipelines (GitHub Actions, ArgoCD)\nCloud platform experience (AWS preferred) - EKS, Bedrock, SageMaker, Lambda, SQS/SNS, DynamoDB, ElastiCache\n\n Nice to Have:Experience designing or operating MCP server fleets or registries at scale\nBackground in agentic memory systems and context engineering\nExperience building multi-agent systems and understanding their failure modes\nDepth in event-driven architectures - event sourcing, CQRS, message brokers (Kafka, SQS/SNS, Redis Streams)\nTrack record of framework evaluation and migration\nExperience with AI observability and evaluation tools (Arize, Langfuse, OpenTelemetry)\nContributions to open-source AI/ML infrastructure or frameworks\n\nMindset & Working Style:Scale-first thinker - design for hundreds of agents from day one\nPragmatic architect - make technology bets with clear trade-offs\nOperationally minded - design for failure and recovery\nStrong communicator - explain complex trade-offs clearly\nForce multiplier - mentor and elevate the team\nBuilder at heart - thrive in early-stage environments defining foundational architecture\n\nWork at the Point of Impact\nWe need to be forward-looking to attract the right people to help us become the Leading Global Long-term Investor. Join our ambitious, agile, and diverse teams - be empowered to push boundaries and pursue innovative ideas, share your views, and be heard. Be anchored on our PRIME Values: Prudence, Respect, Integrity, Merit and Excellence, which guides us in how we make our day-to-day decisions. We strive to inspire. To make an impact.\nFlexibility at GIC\nAt GIC, our offices are vibrant hubs for ideation, professional growth, and interpersonal connection. At the same time, we believe that flexibility allows us to do our best work and be our best selves. Thus, our teams come into the office four days per week to harness the benefits of in-person collaboration, but have the flexibility to choose which days they work from home and adjust this arrangement as situational needs arise.\nGIC is an equal opportunity employer\nGIC is an equal opportunity employer, and we value diversity. We do not discriminate based on race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment.\nLearn more about our Technology Group here:\nhttps://gic.careers/group/technology-group/","description_format":"text","description_chars":8884,"description_truncated":false,"requirements":{"experience_years_min":8,"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":["Pension & Sovereign Wealth Funds"],"lifecycle":[{"event":"open","at":"2026-09-25T18:14:55Z"}],"liveness":{"score":59,"band":"ok","label":"Likely open","p_open":1,"p_active":0.782,"p_room":0.75,"age_days":12,"expected_fill_days":15,"reasons":["conf:38","velocity","win:late","comp:brand"],"computed_at":"2026-10-01T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/gic-avpvp-ai-engineer-technology-group","json_url":"https://alion.io/job/gic-avpvp-ai-engineer-technology-group.json","meta":{"generated_at":"2026-10-01T20:42:35Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":3174,"day_limit":5000,"remaining_today":1826,"minute_limit":60,"resets_at":"2026-10-02T00:00:00Z"}}}