Job DescriptionWe are seeking a forward-thinking AI Solution Architect to lead the design, evaluation, and rollout of cutting-edge Agentic AI applications across the enterprise. The role requires both technical depth and business acumen, with the ability to identify opportunities, conceptualize solutions, and drive implementation—whether by building in-house or integrating with best-in-class external platforms.
The ideal candidate will possess a deep understanding of the Agentic AI ecosystem, be comfortable navigating the rapidly evolving world of large language models (LLMs), and demonstrate strong technical, solution-selling, and leadership skills.
Key Responsibilities
AI Solution Design & ArchitectureIdentify and evaluate opportunities to implement Agentic AI solutions aligned with business strategy.Conceptualize and architect AI applications leveraging both in-house development and vendor solutions (“make or buy” approach).Ensure scalable, secure, and compliant AI solution designs that integrate seamlessly into enterprise IT and data platforms.
Agentic AI Ecosystem OwnershipDefine and maintain the blueprint for an Agentic AI ecosystem—including LLMs, Retrieval-Augmented Generation (RAG), prompt engineering frameworks, MLOps, orchestration tools, and monitoring.Partner with data engineering, and cybersecurity teams to ensure robust infrastructure and governance.
Implementation & RolloutBuild, test, and deploy Agentic AI applications for diverse use cases across ST Engineering business units.Manage solution pilots, proof-of-concepts, and enterprise-wide rollout projects.Establish the best practices and reusable frameworks for Agentic AI adoption.
Stakeholder Engagement & Solution SellingCollaborate with business leaders to translate business needs into AI solutions.Present AI solution proposals to senior stakeholders in clear, impactful ways, highlighting value, ROI, and risk considerations.Drive adoption and organizational buy-in through effective communication and change management.
Leadership & CollaborationWork closely with cross-functional teams including IT, Data Science, and business units.Mentor and guide team members on Agentic AI techniques, frameworks, and best practices.Champion a collaborative, innovative, and learning-oriented culture.
Job Requirements:Must-Have:Bachelor’s or master’s degree in computer science, Artificial Intelligence, Data Science, or related field.Proven experience architecting and implementing enterprise-scale Agentic AI solutions.Strong expertise in:Large Language Models (LLMs) and multimodal models.Prompt engineering strategies and frameworks.Retrieval-Augmented Generation (RAG).MLOps, model deployment, and lifecycle management.Strong expertise with agentic AI frameworks (LangChain, CrewAI, AutoGen, etc.).Excellent programming skills (e.g., Python, Java, or equivalent).Strong communication and solution-selling skills—capable of engaging both technical and business stakeholders.Demonstrated ability to lead and work within multi-disciplinary teams.Proficiency in English, both written and spoken.Strong problem-solving skills with a balance of strategic vision and execution focus.Hands-on exposure to cloud-based AI/ML platforms (AWS, Azure, GCP).Prior experience in enterprise IT transformation or digital innovation programs.
Plus:Knowledge of enterprise data platforms, APIs, and systems integration.Experience in Data Science and Machine Learning model development.Industry certifications in AI/ML, cloud, or enterprise architecture.

Business Area: Commercial AerospaceDepartment: Smart Analytics, Innovation & SustainabilityWork Location: 600 West Camp Road
About the role
Role OverviewWe are seeking an Assistant Principal Software Engineer to join our team, responsible for designing, developing, and delivering robust, scalable software solutions that support real‑world business and operational needs. This role is hands‑on and delivery‑focused, combining strong engineering fundamentals with modern development practices, including AI‑assisted code generation and peer code review. You will work closely with both business and technical stakeholders to translate requirements into high‑quality, production‑ready systems.

Key ResponsibilitiesDesign, develop, and maintain enterprise‑grade applications deployed on Amazon Web Services (AWS).Build and enhance full‑stack software solutions using .NET, Blazor, Python, and PostgreSQL.Apply strong problem‑solving skills to analyse requirements and implement practical, maintainable solutions.Leverage AI‑assisted code generation tools to improve development efficiency and code quality.Conduct code reviews to ensure adherence to coding standards, architectural principles, and best practices.Collaborate with business stakeholders to clarify functional requirements and solution intent.Work with technical teams and platform services to deploy, operate, and support applications in AWS production environments.Contribute to continuous improvement of engineering practices, tooling, and code quality standards.

Required Qualifications & Experience5+ years of professional software engineering experience delivering production systems.Strong hands‑on experience with .NET (Core), Blazor, and Python.Experience working with PostgreSQL or similar relational databases.Hands‑on experience deploying and operating applications in Amazon Web Services (AWS).Solid understanding of software engineering fundamentals, including application architecture, APIs, microservices and design patterns.Familiarity with DevOps tools and practices (e.g. Git, CI/CD pipelines, containerization)Proven ability to debug, troubleshoot, and resolve issues in production systems.
Preferred/Advantageous Skills & ExperienceExperience with AWS Solution Architecture, including designing end‑to‑end cloud architectures that are scalable, secure, reliable, and cost‑efficientPrior exposure to AWS Well‑Architected Framework and architectural best practicesExperience with Infrastructure as Code (e.g. CloudFormation, Terraform, CDK)Familiarity with software observability, logging, and monitoring in cloud environments
Soft Skills & AttributesStrong analytical and problem‑solving skills.Strong sense of ownership and accountability.Detail‑oriented with a strong focus on reliability, data quality, and security.Comfortable working in a project‑based, fast‑paced environment.Able to work independently while collaborating effectively across teams.
About CompanyST Engineering is a global technology, defence and engineering group with a diverse portfolio of businesses across the aerospace, smart city, defence and public security segments. The Group harnesses technology and innovation to solve real-world problems, enabling a more secure and sustainable world. Headquartered in Singapore, it has operations spanning Asia, Europe, the Middle East and the U.S., serving customers in more than 100 countries. ST Engineering reported revenue of over $12b in 2025 and ranks among the largest companies listed on the Singapore Exchange. It is a component stock of MSCI Singapore, FTSE Straits Times Index and Dow Jones Best-in-Class Asia Pacific Index.
About Commercial AerospaceST Engineering’s Commercial Aerospace business is a world-class Original Equipment Manufacturer (OEM) and Maintenance, Repair and Overhaul (MRO) service provider with proven solutions for practically every stage of an aircraft life cycle. With 50 years of reputable track record in aviation, backed by a highly experienced team of engineers and technicians across facilities in Asia Pacific, the U.S. and Europe, we know what it takes to keep the world flying safely.

We’re building a Computer Vision Agentic Platform that automates the entire CV model lifecycle from data cleanup and model training to evaluation, deployment, and monitoring.You’ll join a small, autonomous team of 3–5 engineers (plus interns) working alongside dedicated AI/ML engineers and computer vision scientists at ST Engineering, AI.DA Strategic Technology Centre (STC). Your role is to act as the CV expert and also spin up MVPs using CV and Generative AI to validate ideas before we build at scale.
What You’ll BuildComputer Vision Agentic Platform (Primary Focus)Design and build user-facing application layers across the full CV lifecycle: data curation tools, training dashboards, evaluation, deployment workflows, and monitoringOwn backend services (Python, FastAPI, gRPC) that power automated CV pipelines—integrating data prep, augmentation, model training, and evaluation into seamless agent-driven workflowsBuild scalable APIs with clean contracts, versioning, and documentation that internal teams and platform agents consumeIntegrate and wrap CV toolkits (PyTorch, OpenCV, Ultralytics YOLO) so the platform can orchestrate them programmaticallyImplement orchestration layers for multi-step pipelines with retry, rollback, and SLA guarantees
MVPs & Proof-of-ConceptsRapidly prototype end-to-end applications using Computer Vision to validate product ideas before committing to full buildsBuild proof-of-concepts incorporating Generative AI capabilities (training provided—no prior Gen AI experience required)Translate prototype learnings into production-ready architecture decisionsInfrastructure & QualityDevelop production infrastructure: compute orchestration, containerization (Docker, Kubernetes)Ship systems with proper CI/CD (GitHub Actions), scaling, monitoring (Prometheus/Grafana), and rollback safetyEstablish engineering quality through testing (pytest), observability (OpenTelemetry), and clean architecture
What You BringEngineering & Product Building• 4+ years of hands-on software engineering experience with a proven track record of shipping complete, user-facing applications from inception to production—not just APIs or microservices, but products people use• Strong Python skills with production-grade API development (FastAPI, Flask, gRPC)• Solid system design and architecture skills• Experience with containerization (Docker, Kubernetes)• CI/CD pipeline experience (GitHub Actions)Computer Vision & ML• Hands-on experience training, evaluating, and deploying CV models (classification, detection, segmentation)—you’ve done this yourself, not just built infra around it• Practical understanding of data-quality pitfalls, augmentation strategies, and model evaluation methodology• Familiarity with CV toolkits: PyTorch, OpenCV, or Ultralytics YOLO• Experience with model serving and packaging (TorchServe, ONNX Runtime, or similar)• Ability to build automated evaluation using pytest, MLflow, or Weights & Biases• GPU infrastructure and compute environments - CUDA and cuDNN management, multi-GPUs training across Ubuntu server
What We Offer• Hybrid work setup: ~2–3 days in office per week• Startup feel with enterprise resources—international team with backgrounds • Low-bureaucracy, high-impact environment where your code directly powers next-gen AI deployment• Direct collaboration with top AI researchers and computer vision scientists• Culture of experimentation, self-development, and knowledge sharing

The Data Analytics Strategic Engineering Centre (DA SEC) is one of five SECs within the Group Engineering Centre (GEC) in ST Engineering. Its mission is to deepen Data Analytics (DA) capabilities, proliferate DA usage group-wide, and to develop common/reusable DA products and tools for both internal and external use by all lines of businesses.DA SEC provides analytics consulting services to our internal customers and also assists them in projects with external customers. We are looking to hire an experienced data analyst / data scientist with strong analytics modelling skills and ability to elicit key analytics business value and build rapport with customers. The selected candidate will be involved in both fundamental data warehousing and business intelligence projects as well as in predictive and prescriptive analytics projects.
Key Responsibilities:Provide analytics consulting and POC implementation servicesElicit requirements and highlight key business value for each project to end-customersSupport business unit project teams and corporate functions to develop, evaluate, refine, and deploy analytics models for production.Work closely with data engineers, product managers, project managers, and platform developers in the implementation and deployment of the data analytics solution
Job Requirements:Prefer a Bachelors or Master's Degree in STEM with working experience in data analyticsIn-depth technical knowledge and experience in any of the following is preferred:1.Statistical Analysis and Demand Forecasting2.Supply Chain Risk Analytics3.Anomaly Detection4.Predictive AnalyticsIn-depth technical knowledge and experience in any of the following is advantageous:5.Network Analytics, Geometry, Topology, Geospatial Analytics6.GenAI and LLMs7.Physics-Informed Predictive Maintenance8.Sensor Technologies and Edge Analytics9.Operations Research and Optimisation10.Deep Learning11.Interpretable/Explainable AIExperience with end-to-end analytics process – ideation/value elicitation, data profiling, analytical modelling, testing, validation, visualization, and solutioning.Experience in designing and implementing ETL pipelines.Experience in BI reporting/dashboarding software, e.g. Tableau, PowerBI.Experience in SQL (any flavour), Python, Java, or C.Experience with Linux environment (any flavour) and shell scripting.Familiar with distributed computing, simulation, optimization, and visualization tools.Strong problem-solving skills, curiosity, and passion for data science.Excellent coordination and time management skills to handle complex projects.Willing and enthusiastic about continuous learning.Effective oral and written communication skills.

Business Area: Commercial AerospaceDepartment: Smart Analytics, Innovation & SustainabilityWork Location: 600 West Camp Road
About the role
Role OverviewWe are seeking an Assistant Principal Engineer (Optimization) to support both our Aerospace OEM and MRO operations. You will apply optimization techniques to scheduling, resource assignment and allocation type of use cases. You will be required to work closely with application developers and production subject matter experts to roll out impactful solutions for the organisation
Job DescriptionThis is an individual contributor roleDesign, build and deploy optimization solutions on AWSProvide L2/L3 level support for optimization solutions in productionDevelop optimization solutions for use cases such as hangar scheduling and manpower planning optimizationCollaborate with application developers, MRO planners and other teams to enable data-driven decision-making
Job RequirementAt least 3 years of experience in building mathematical optimization modelsFamiliarity with linear programming, non-linear programming, constraint programming and heuristicsPossesses strong problem-solving and communication skillsSelf-driven and independent problem solver who is comfortable managing his/her own projectsProficiency in Python, SQL, and data visualisation toolsFamiliarity with foundational AWS services and cloud conceptsFamiliarity with code version control solutions, containerization tools and agile project management solutions

About CompanyST Engineering is a global technology, defence and engineering group with a diverse portfolio of businesses across the aerospace, smart city, defence and public security segments. The Group harnesses technology and innovation to solve real-world problems, enabling a more secure and sustainable world. Headquartered in Singapore, it has operations spanning Asia, Europe, the Middle East and the U.S., serving customers in more than 100 countries. ST Engineering reported revenue of over $12b in 2025 and ranks among the largest companies listed on the Singapore Exchange. It is a component stock of MSCI Singapore, FTSE Straits Times Index and Dow Jones Best-in-Class Asia Pacific Index.
About Commercial AerospaceST Engineering’s Commercial Aerospace business is a world-class Original Equipment Manufacturer (OEM) and Maintenance, Repair and Overhaul (MRO) service provider with proven solutions for practically every stage of an aircraft life cycle. With 50 years of reputable track record in aviation, backed by a highly experienced team of engineers and technicians across facilities in Asia Pacific, the U.S. and Europe, we know what it takes to keep the world flying safely.

1. RoleKey member of the aircraft pricing/ business team that manages aircraft lease, purchase and trading transactionsLooking for a conscientious self-starter, who is capable of independent work in managing transactions from start to completionNeeds to possess good inter-personal, communications, financial modelling and project management skills
2. Key Job AccountabilitiesGenerate financial models for pricing, perform sensitivity and stress analysis and debt financing schedules. Able to use the financial models also for business plans and cashflow forecastingAssist to prepare proposals, terms sheets and letters of intent for aircraft lease and acquisition transactionsAnalyse transaction opportunities and make recommendations to the management teamAssist to prepare financial analysis of proposals and summarise deal terms for management decision makingManage all phases of the aircraft leasing renewal, purchase, sale and transition transactions to ensure appropriate outcomes and deliverablesCoordinates with legal, finance, sales and technical teams on transaction managementParticipates in lease, sale and purchase negotiationsSupports the transaction lawyers in documentation and closing for aircraft acquisition, lease and sale transactionsAssist to provide documentation to lease management team to file and update lease management systemPrepares information for management reporting on lease function as requiredOther support duties or assignments as required
3. Reporting relationshipThis position reports to Vice President, Commercial & Marketing
4. Required Experience and QualificationsSuitable candidates is expected to possess a degree in Engineering, Finance and/or Accounting, or related disciplines. Proficiency and relevant experience in financial modelling is an advantageAt least 5 years experience in aviation finance, aviation marketing, program management and contract negotiations. Experience in the aviation leasing industry and/or M&A advisory services will be viewed favourablyHighly organized, conscientious while handling multiple tasks and transactions simultaneouslyStrong oral and written communication/presentation skillsCapable of independent work and strong team player
ST Engineering is a global technology, defence and engineering group with a diverse portfolio of businesses across the aerospace, smart city, defence and public security segments. The Group harnesses technology and innovation to solve real-world problems, enabling a more secure and sustainable world. Headquartered in Singapore, it has operations spanning Asia, Europe, the Middle East and the U.S., serving customers in more than 100 countries. ST Engineering reported revenue of over $12b in 2025 and ranks among the largest companies listed on the Singapore Exchange. It is a component stock of MSCI Singapore, FTSE Straits Times Index and Dow Jones Best-in-Class Asia Pacific Index.
About Commercial AerospaceST Engineering’s Commercial Aerospace business is a world-class Original Equipment Manufacturer (OEM) and Maintenance, Repair and Overhaul (MRO) service provider with proven solutions for practically every stage of an aircraft life cycle. With 50 years of reputable track record in aviation, backed by a highly experienced team of engineers and technicians across facilities in Asia Pacific, the U.S. and Europe, we know what it takes to keep the world flying safely.

We are looking for an Snr Embodied AI Engineer to work on humanoid robot projects, focusing on integrating perception, decision-making, and control across simulation and real-world systems at ST Engineering, AI.DA Strategic Technology Centre (STC). This role involves hands-on development using modern robotics frameworks and simulation platforms, with a strong emphasis on deploying embodied intelligence on humanoid robots.
Key ResponsibilitiesDesign, implement, and maintain ROS 2–based robotic systems for humanoid robotsDevelop core embodied AI components using C++ and PythonBuild, test, and validate humanoid robot behaviors in NVIDIA Isaac SimUse Isaac Lab for robot learning workflows (e.g., reinforcement learning, policy training, evaluation)Integrate perception, locomotion, manipulation, and control modulesDebug and optimize system performance in both simulation and real-world environmentsCollaborate closely with AI researchers and robotics engineers on end-to-end humanoid AI systems
Required SkillsAt least a Master’s degree in Robotics, Computer Science, Electrical Engineering, Mechanical Engineering, or a related fieldStrong working experience with ROS 2Proficient in C++ and PythonHands-on experience with NVIDIA Isaac SimFamiliarity with Isaac Lab for robot learning or control developmentSolid foundation in robotics fundamentals (kinematics, dynamics, control, sensing)
Preferred (Bonus) SkillsPrior experience working on robot projectsExperience with reinforcement learning, imitation learning, or control policy trainingKnowledge of locomotion and whole-body control for humanoid robotsExperience with sim-to-real transfer and real robot deployment
Why Join UsWe are an enthusiastic and innovative team, and joining us means you’ll grow tremendously as an embodied AI engineer. Here are some reasons this role is great for your development:Mentorship & Growth Learn from experienced engineers and domain experts who will support your development and guide your learning journey.Cutting-Edge Projects Contribute to humanoid systems that apply the latest AI models in real-world contexts, expanding your technical skills and innovation potential.Supportive Team Culture Work in a friendly, collaborative, and inclusive environment. We embrace continuous learning, curiosity, and shared success.

About NIIT
NIIT is a leading Skills and Talent Development Corporation that is building a manpower pool for global industry requirements. The company, which was set up in 1981 to help the nascent IT industry overcome its human resource challenges, today ranks among the world’s leading training companies owing to its vast, yet comprehensive array of talent development programs. With a footprint across 40 nations, NIIT offers training and development solutions to Individuals, Enterprises, and Institutions.
Job Title:
Role DescriptionThe NIIT Client Executive / Meet & Greet is responsible for achieving the overall business and learning goals for the APAC region (minus India). The Meet & Greet aspect is to be responsible for co-ordinating and scheduling arrangements for delivery of training programs, events and workshops, including all logistical support. The role is required to manage and coordinate multiple tasks and detailed activities in a time-intensive work environment. The role is accountable for realising deep stakeholder engagement, driving business intimacy and collaboration for delivery of learning and business strategies. The role reports to the Program Director.
The Client Executive / Meet & Greet responsibilities will include:Working closely with the Regional Delivery Managers (RDMs) to provide service excellence Work closely with NIIT programme managers & project managers to ensure all service levels are met Support Singapore Trainings + Grant Applications. Engaging with key Rolls-Royce stakeholders to provide Quarterly training summaries for both sites as well an annual training planning. In close liaison with the incumbent learning co-ordinator, ensure presence in both the Seletar and Tukang training sites and ensure all training logistics and Meet & Greet actions are managed effectively and without issue. Participate in performance review meetings (regional & global)Contribute to defining operational process for continuous improvements and adherence to service level agreementsBuild strong partnering relationship with NIIT and client regional stakeholdersEngage with business stakeholders to efficiently manage large sourcing requirements in the regionEngage with key suppliers to efficiently manage large sourcing requirementsProactively challenge suppliers and customers to ensure the sourced solution meets underlying learning needsDeliver targeted cost savings in the regionBenchmark regional vendor pricingInitiate optimisation projects with Regional Delivery Managers (RDMs) & business stakeholders that will help drive costs down without compromising quality Educate & guide service requestors, managers and functional capability lead on the process systems & processesEducate & guide services requestors on value of using NIIT services, new learning methodologies and architectureProvide support and meaningful engagement to regional HR stakeholders in tailoring requirementsReview performance and ensure quality standards are met by suppliersProvide updates to regional delivery managers and key business stakeholders on supplier engagementsProvide additional onsite support to operations teams on a need basisEnsure onsite training event activities are performed as per the “Event Readiness Process/System”. Booking the venue for offsite activity or social events and Provide Emergency support / help for trainingEnsure the training Facilities are setup correctly and have the necessary equipment Management at facility. Communicate with instructors and outside vendors in both written and spoken correspondence. Coordinate and block Instructor’s dates & timing in line with the training and workshop calendarsArrange for the training materials, manuals, hand-outs and other instructional aids; arrange for equipment setup (like AV, toys, etc.) and refreshments. • Manage the training logistics (training room booking, manage access, photographer, etc.) and sharing detailed information to participants and trainers in advance • Monitor completion of training activities - Pre-work, Certificates • Calibrate with Remote Coordinators for any changes/updates in the training event/program • Makes sure all arrangements are made for participants and trainers • Communicates with venue staff/vendors; makes sure scheduled training breaks work with the facility’s meal schedule • Ensure the Event Facilities are set-up correctly and have the necessary equipment along with clear messaging of class • Escort external instructor in and out of training facility • Participate in the kick-off of the program, administer the essential program briefings, calibrate with the speaker and stakeholders • Communicate with the internal and external vendors, ready the Purchase Order whenever required.
The client executive will possess skills & qualifications:A graduate with minimum five years’ experience working onsite at large corporate customer locationsMinimum three years’ experience working in a matrix reporting structure; NIIT delivery and strategic sourcing practices along with Rolls-Royce L&D teamsMinimum three years’ experience in managing sourcing activities – project manage, benchmark, supplier evaluation, etc., that will yield cost savingsProactive approach to delivering solutions, be innovative and challenge as required. Customer focused and commercially aware to deliver outstanding resultsEffective negotiation skills are an advantage, to support strategic sourcing and gain savingsProven communication skills (telephone, email and face-to-face) and be able to deal with learners at all levels of seniority, along with a 3 years track record in stakeholder engagement, governance and managementDemonstrates knowledge & expertise on basic IT software such as Microsoft, word, PowerPoint, Excel, Visio and databasesHigh attention to detail and has the ability to interpret data and other information accurately.Should be familiar with Workday Learning or similar learning management systems (LMS) Possess valid work permit, complying to local laws that will allow working at customer location as full-time employeeLanguage proficiency for reading, listening, speaking & writing in English

NIIT is an equal-opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other protected characteristic.