CrawlJobs Logo

Lead AI Infrastructure Engineer

thoughtworks.com Logo

Thoughtworks

Location Icon

Location:
Singapore , Singapore

Category Icon
Category:
IT - Software Development

Job Type Icon

Contract Type:
Not provided

Salary Icon

Salary:

Not provided
Save Job
Save Icon
Apply Position

Job Description:

At Thoughtworks, Lead AI Infrastructure Engineers design and maintain high-performance, scalable, and resilient infrastructure for modern AI workloads. You’ll focus on enabling advanced inference systems, including LLMs, VLMs, and SLMs, across on-premises GPU clusters and cloud environments. This role is critical to ensuring our clients’ AI systems achieve demanding requirements for throughput, latency, availability, and compliance. As a senior technical leader, you will partner with ML engineers, platform engineers, AI researchers, and client stakeholders to deliver optimized infrastructure that is both robust and future-proof. You will combine deep expertise in GPU-based inference infrastructure with a broader understanding of DevOps, agile delivery, and platform engineering to drive impactful AI solutions at enterprise scale.

Job Responsibility:

  • Design and operate GPU-based infrastructure (e.g., NVIDIA GB200, H100) across cloud and self-hosted environments
  • Architect scalable inference platforms that support real-time and batch serving with high availability, load balancing, and fault tolerance
  • Integrate inference workloads with orchestration frameworks such as Kubernetes, Slurm, and Ray, as well as observability stacks like Prometheus, Grafana, and OpenTelemetry
  • Automate infrastructure provisioning and deployment using Terraform, Helm, and CI/CD pipelines
  • Collaborate with ML engineers to co-design systems optimized for low-latency serving, continuous batching, and advanced inference optimization techniques (quantization, distillation, pruning, KV caching)
  • Lead client engagements by shaping technical roadmaps that align AI infrastructure with business objectives, ensuring compliance, scalability, and performance
  • Champion DevOps and agile practices to accelerate delivery while maintaining reliability, quality, and resilience
  • Mentor and guide teams in best practices for AI infrastructure engineering, fostering a culture of technical excellence and innovation

Requirements:

  • Expertise in GPU-based infrastructure for AI (H100, GB200, or similar), including scaling across clusters
  • Strong knowledge of orchestration frameworks: Kubernetes, Ray, Slurm
  • Experience with inference-serving frameworks (vLLM, NVIDIA Triton, DeepSpeed)
  • Proficiency in infrastructure automation (Terraform, Helm, CI/CD pipelines)
  • Experience building resilient, high-throughput, low-latency systems for AI inference
  • Strong background in observability and monitoring: Prometheus, Grafana, OpenTelemetry
  • Familiarity with security, compliance, and governance concerns in AI infrastructure (data sovereignty, air-gapped deployments, audit logging)
  • Solid understanding of DevOps, cloud-native architectures, and Infrastructure as Code
  • Exposure to multi-cloud and hybrid deployments (AWS, GCP, Azure, sovereign/private cloud)
  • Experience with benchmarking and cost/performance tuning for AI systems
  • Background in MLOps or collaboration with ML teams on large-scale AI production systems
  • Proven ability to partner with senior client stakeholders (CTO, CIO, COO) and translate technical strategy into business outcomes
  • Skilled at leading multi-disciplinary teams and building trust across diverse technical and business functions
  • Strong communication skills, with the ability to explain complex AI infrastructure concepts to both technical and non-technical audiences
  • Comfortable navigating uncertainty, making pragmatic decisions, and adapting quickly to evolving technologies
  • Passionate about creating scalable, sustainable, and high-impact solutions that help transform industries with AI

Additional Information:

Job Posted:
January 12, 2026

Employment Type:
Fulltime
Icon
Thoughtworks - All Job Offers
Job Link Share:
Copy Link Icon
Facebook Icon Twitter Icon LinkedIn Icon

Looking for more opportunities? Search for other job offers that match your skills and interests.

Briefcase Icon

Similar Jobs for Lead AI Infrastructure Engineer

Senior Engineering Manager - AI Core Platform

We’re hiring a Senior Engineering Manager (or high-potential EM2) for the Core P...
Location
Location
Ireland , Dublin
Salary
Salary:
Not provided
intercom.com Logo
Intercom
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Experience leading engineering teams, ideally across infrastructure or platform domains
  • Recent hands-on coding experience — you’ve shipped production code in the last couple of years
  • Strong technical judgment and the ability to coach senior engineers through complex architectural trade-offs
  • Adaptable leadership style suited to a group that will grow quickly, and change shape over time
  • Curiosity and enthusiasm for AI, with a desire to learn how ML systems are developed and operated in production
Job Responsibility
Job Responsibility
  • Lead a high-performing team building the platform and infrastructure that power Intercom’s AI capabilities
  • Contribute directly to production code, staying close to the work and building knowledge & context through first-hand experience
  • Support teams of ML Scientists and Engineers building AI powered capabilities
  • Plan, prioritize, and deliver high-impact roadmaps in partnership with the team’s most senior engineers, balancing delivery, quality, and innovation
  • Improve developer experience across the AI infrastructure stack, ensuring that systems are observable, scalable, and easy to build upon
  • Empower the engineers on the team to act with agency and maximize their impact
  • Expand your scope over time, potentially taking ownership of additional platform domains as the team and AI initiatives grow
What we offer
What we offer
  • Competitive salary and equity in a fast-growing start-up
  • We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen
  • Regular compensation reviews - we reward great work
  • Pension scheme & match up to 4%
  • Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents
  • Flexible paid time off policy
  • Paid maternity leave, as well as 6 weeks paternity leave for fathers, to let you spend valuable time with your loved ones
  • If you’re cycling, we’ve got you covered on the Cycle-to-Work Scheme. With secure bike storage too
  • MacBooks are our standard, but we also offer Windows for certain roles when needed
  • Fulltime
Read More
Arrow Right

Senior Platform Engineer - CI/CD & AI Automation (AI-first)

Groupon is undergoing a critical platform transformation, modernizing its core d...
Location
Location
Czechia , Prague
Salary
Salary:
Not provided
groupon.com Logo
Groupon
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 5+ years of dedicated experience in Platform Engineering, DevOps, or Infrastructure roles
  • Deep expertise building, scaling, and migrating CI/CD systems, with strong practical experience in Jenkins and/or GitHub Actions
  • Expertise in scripting and automation (Python, Go, or Bash)
  • Solid understanding of container technologies, Kubernetes, and cloud build systems
  • Proven experience leveraging AI tooling (e.g., Claude Code, code analysis) to meaningfully increase developer output and optimize platform work
  • Excellent communication and ability to drive technical decisions across multiple platform and product teams
Job Responsibility
Job Responsibility
  • Platform Transformation: Lead the design, planning, and execution of the Jenkins-to-GitHub Actions migration across a large portfolio of microservices
  • Pipeline Engineering: Design and optimize high-performance, secure, and observable CI/CD workflows across GitHub Actions, Jenkins, and Kubernetes environments
  • AI-First Automation: Drive an AI-First workflow by leveraging tools (e.g., Copilot, code generation) to eliminate infrastructure toil, accelerate development, and analyze pipeline failures
  • Core Automation: Develop robust platform automation (e.g., Python, Go, Bash) to improve build efficiency, artifact caching, reliability, and repository hygiene
  • Security & Compliance: Harden CI/CD infrastructure with robust controls for secrets management, RBAC, audit logging, and secure runner design
  • Observability: Implement and enhance CI/CD observability using tools like Prometheus, Grafana, and OpenTelemetry to provide deep insights into performance and reliability
  • Technical Leadership: Mentor engineers and partner across Cloud, Security, and Developer Experience teams to define and evolve our end-to-end delivery platform architecture
Read More
Arrow Right

Engineering Manager, Infrastructure

As an Engineering Manager for the Infrastructure team, you’ll lead the engineers...
Location
Location
Canada; United States
Salary
Salary:
195000.00 - 285000.00 USD / Year
apollo.io Logo
Apollo.io
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 5+ years of hands-on software or infrastructure engineering experience
  • 2+ years of experience leading teams of senior and staff-level engineers in platform, SRE, or infrastructure domains
  • Proven ability to design and operate large-scale distributed systems in cloud environments (preferably GCP or AWS)
  • Expertise with Kubernetes, Docker, Terraform, Ubuntu, and CI/CD pipelines
  • Familiarity with observability tools (Grafana, Prometheus, ELK, Datadog, NewRelic) and performance tuning
  • Strong grounding in networking, security, and reliability principles
  • Experience managing infrastructure costs, availability SLAs, and high-throughput systems at scale
Job Responsibility
Job Responsibility
  • Lead, coach, and grow a distributed team of high-impact Infrastructure Engineers
  • Partner with senior engineering leadership on strategic initiatives such as cloud migration, infrastructure scaling, platform reliability, and cost efficiency
  • Define and implement modern operational excellence practices, including SLOs, error budgets, incident reviews, and performance monitoring
  • Guide technical decision-making across key areas like Kubernetes, GCP, observability, networking, CI/CD, and IaC (Terraform, Ansible)
  • Collaborate with AI, Data, and Product Engineering teams to ensure infrastructure scalability for ML and AI-native workloads
  • Run effective 1:1s, career development conversations, and quarterly performance reviews
  • Support recruiting efforts to attract top engineering talent across time zones
What we offer
What we offer
  • Equity
  • Company bonus or sales commissions/bonuses
  • 401(k) plan
  • At least 10 paid holidays per year
  • Flex PTO
  • Parental leave
  • Employee assistance program and wellbeing benefits
  • Global travel coverage
  • Life/AD&D/STD/LTD insurance
  • FSA/HSA and medical, dental, and vision benefits
  • Fulltime
Read More
Arrow Right

Engineering Manager - Machine Learning Infrastructure

We build simple yet innovative consumer products and developer APIs that shape h...
Location
Location
United States , San Francisco
Salary
Salary:
241200.00 - 400000.00 USD / Year
plaid.com Logo
Plaid
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 8–10 years of experience in ML infrastructure, including direct hands-on expertise as an engineer, IC/TL
  • 2+ years of experience managing infrastructure or ML platform engineers
  • Proven experience delivering and operating ML or AI infrastructure at scale
  • Solid technical depth across ML/AI infrastructure domains (e.g., feature stores, pipelines, deployment, inference, observability)
  • Demonstrated ability to drive execution on complex technical projects with cross-team stakeholders
  • Strong communication and stakeholder management skills
Job Responsibility
Job Responsibility
  • Lead and support the ML Infra team, driving project execution and ensuring delivery on key commitments
  • Build and launch Plaid’s next-generation feature store to improve reliability and velocity of model development
  • Define and drive adoption of an ML Ops “golden path” for secure, scalable model training, deployment, and monitoring
  • Ensure operational excellence of ML pipelines, deployment tooling, and inference systems
  • Partner with ML product teams to understand requirements and deliver solutions that accelerate model development and iteration
  • Recruit, mentor, and develop engineers, fostering a collaborative and high-performing team culture
What we offer
What we offer
  • medical
  • dental
  • vision
  • 401(k)
  • equity
  • commission
  • Fulltime
Read More
Arrow Right

Director of AI Engineering

We are entering a hyper-growth phase of AI innovation and are hiring a Director ...
Location
Location
Canada; United States
Salary
Salary:
300000.00 - 450000.00 USD / Year
apollo.io Logo
Apollo.io
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 10–15+ years in software engineering, with significant leadership experience owning AI/ML or applied LLM systems at scale
  • Proven history shipping LLM-powered features, agentic workflows, or AI assistants used by real customers in production
  • Deep understanding of LLM orchestration frameworks (LangChain, LlamaIndex), RAG pipelines, vector search, embeddings, and prompt engineering
  • Expert in backend & distributed systems (Python strongly preferred) and cloud infrastructure (AWS/GCP)
  • Strong experience with telemetry, observability, and cost-aware real-time inference optimizations
  • Demonstrated ability to lead senior engineers, define technical roadmaps, and deliver outcomes aligned to business metrics
  • Experience building or scaling teams working on experimentation, optimization, personalization, or ML-powered growth systems
  • Exceptional ability to simplify complex problems, set clear standards, and drive alignment across Product, Data, Design, and Engineering
  • Strong product sense, ability to weigh novelty vs. impact, focus on user value, and prioritize speed with guardrails
  • Fluent in integrating AI tools into engineering workflows for code generation, debugging, delivery velocity, and operational efficiency
Job Responsibility
Job Responsibility
  • Define the multi-year technical vision for Apollo’s AI stack, spanning agents, orchestration, inference, retrieval, and platformization
  • Prioritize high-impact AI investments by partnering with Product, Design, Research, and Data leaders to align engineering outcomes with business goals
  • Establish technical standards, evaluation criteria, and success metrics for every AI-powered feature shipped
  • Lead the architecture and deployment of long-horizon autonomous agents, multi-agent workflows, and API-driven orchestration frameworks
  • Build reusable, scalable agentic components that power GTM workflows like research, enrichment, sequencing, lead scoring, routing, and personalization
  • Own the evolution of Apollo’s internal LLM platform for high-scale, low-latency, cost-optimized inference
  • Oversee model-driven experiences for natural-language interfaces, RAG pipelines, semantic search, personalized recommendations, and email intelligence
  • Partner with Product & Design to build intuitive conversational UX that hides underlying complexity while elevating user productivity
  • Implement rigorous evaluation frameworks, including offline benchmarking, human-in-the-loop review, and online A/B experimentation
  • Ensure robust observability, monitoring, and safety guardrails for all AI systems in production
What we offer
What we offer
  • Equity
  • Company bonus or sales commissions/bonuses
  • 401(k) plan
  • At least 10 paid holidays per year
  • Flex PTO
  • Parental leave
  • Employee assistance program and wellbeing benefits
  • Global travel coverage
  • Life/AD&D/STD/LTD insurance
  • FSA/HSA
  • Fulltime
Read More
Arrow Right

AI Platform Lead

A rapidly growing tech company is seeking an AI Platform Lead to architect and s...
Location
Location
United Kingdom , London
Salary
Salary:
100000.00 GBP / Year
formularecruitment.co.uk Logo
Formula Recruitment
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 5+ years’ experience building AI/ML platforms, LLM services, or ML infrastructure
  • Hands-on expertise with modern LLM frameworks—RAG, agents, prompt engineering, fine-tuning
  • Strong systems thinking and experience integrating AI into complex platforms
  • Product awareness and the ability to work across teams in a fast-moving environment
Job Responsibility
Job Responsibility
  • Architect and scale the core infrastructure powering their AI-driven modelling platform
  • Blend deep ML infrastructure expertise with strong systems thinking and product intuition
  • Work closely with engineering, product, and domain specialists to define how AI is integrated into the platform
  • Building LLM-backed agents, features, and developer-facing tools that deliver real value to end users
What we offer
What we offer
  • Bonus
  • Flexible hybrid working from a London office
  • Generous time off and modern workspace perks
  • Pension contributions
  • Equity options and the chance to grow with the company
  • Fulltime
Read More
Arrow Right

Software Engineer - AI & Marketplace

Full-time Software Engineer – AI & Marketplace Innovation position available wit...
Location
Location
Australia , Sydney
Salary
Salary:
140000.00 - 150000.00 AUD / Year
11recruitment.com.au Logo
11 Recruitment
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s degree in Computer Science, Software Engineering, or related field
  • Minimum of 3 years’ professional experience in software engineering
  • Strong proficiency in Python, TypeScript, Flutter, or related modern stacks
  • Experience managing cloud infrastructure (AWS, Firebase, etc.)
  • Ability to take ownership of a codebase and lead technical decisions
  • Excellent collaboration and communication skills
Job Responsibility
Job Responsibility
  • Develop and maintain core systems across app, web, and backend platforms
  • Own and manage CI/CD pipelines, cloud infrastructure, and production reliability (AWS/Firebase)
  • Work on Verity AI’s backend (Python/FastAPI) and integrate with Shopify and custom APIs
  • Collaborate closely with the CEO and founding team in an agile workflow
  • Lead product releases, feature upgrades, and technical strategy
  • Ensure security, data compliance, and minimal platform downtime (SLA-based)
What we offer
What we offer
  • plus superannuation
  • Fulltime
Read More
Arrow Right

Gen AI Tech Lead

We are seeking a dynamic and innovative Gen AI Lead to spearhead the development...
Location
Location
United States , Atlanta, Georgia; Tampa, Florida
Salary
Salary:
158400.00 - 237600.00 USD / Year
https://www.citi.com/ Logo
Citi
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Large Language Models (LLMs) & Fine-Tuning: Deep knowledge of LLMs and advanced fine-tuning techniques
  • Model Optimization: Expertise in model compression and quantization methods
  • Prompt Engineering: Adept at prompt engineering
  • Retrieval-Augmented Generation (RAG): Advanced knowledge of RAG techniques
  • Machine Learning Frameworks and Cloud Computing: Proficiency in TensorFlow, PyTorch, and high-level APIs like Keras
  • Natural Language Processing (NLP) and AI Deployment: Advanced NLP skills
  • Data Science, Engineering, and API Development: Strong proficiency in data preprocessing
  • Generative AI Tools & Platforms: Experienced with cutting-edge generative AI tools
  • AI Compliance & Guardrails: Knowledge of AI compliance frameworks
  • Team Leadership: Proven ability to build, lead, and develop high-performing AI teams
Job Responsibility
Job Responsibility
  • Lead Generative AI Strategy: Define and implement a comprehensive AI strategy
  • Build & Lead a High-Performing Team: Hire, mentor, and manage a team of AI specialists
  • Drive AI Innovation: Collaborate with internal stakeholders to identify business challenges
  • AI System Development: Oversee the design, development, and deployment of AI models
  • Cross-functional Collaboration: Work closely with the Data Mesh, Cloud Architecture, and broader tech teams
  • Stay Current on AI Trends: Continuously monitor the latest AI trends
  • Ensure Ethical AI Use: Ensure all AI initiatives comply with data privacy
What we offer
What we offer
  • medical, dental & vision coverage
  • 401(k)
  • life, accident, and disability insurance
  • wellness programs
  • paid time off packages
  • planned time off (vacation)
  • unplanned time off (sick leave)
  • paid holidays
  • Fulltime
Read More
Arrow Right
Jobs by Category
Art and Entertainment Jobs Banking Jobs Call Center Jobs Construction Jobs Consulting Jobs Customer Service Jobs Education Jobs Energy Jobs Finance Jobs Gastronomy Jobs Health and Beauty Jobs Hospitality and Tourism Jobs Human Resources Jobs Insurance Jobs IT - Administration Jobs IT - Software Development Jobs Legal Jobs Logistics Jobs Manufacturing Jobs Marketing, Digital Marketing, SEO, SEM Jobs Media Jobs Nursing Jobs Office Administration Jobs Pharmacy Jobs Physical Work Jobs Public Relations Jobs Public Sector Jobs Purchasing Jobs Quality Control Jobs Real Estate Jobs Research and Development Jobs Sales Jobs
Job Positions Jobs by Country
United States Jobs United Kingdom Jobs India Jobs Canada Jobs Australia Jobs Germany Jobs Ireland Jobs Poland Jobs
Company
Blog About Us Contact
Follow Us
Facebook
X (Twitter)
LinkedIn
Instagram
CrawlJobs Group
ITFlashcards AllDevBlogs
© 2026 CrawlJobs Ltd. All Rights Reserved
Terms & Conditions Privacy Policy