AI Cloud Architect Jobs

Our client, an innovator in the eCommerce industry, is hiring a Lead Machine Learning Engineer to join their New York team remotely. The successful candidate will play a pivotal role in shaping the future of their marketplace by developing intelligent, data-driven products that enhance user experience and fuel business growth. This includes optimising search and ranking, building impactful recommendation models and developing scalable systems that serve millions of users.


Responsibilities

• Lead the design, development and deployment of scalable machine learning models across key domains such as search relevance, advertising, pricing and recommendations.

• Architect and implement robust, production-ready pipelines and REST APIs to deliver models at scale.

• Partner closely with product managers, engineers and cross-functional stakeholders to translate business requirements into effective technical solutions.

• Explore, prototype and assess new algorithms and emerging technologies to drive continuous innovation.

• Take full ownership of machine learning initiatives, from ideation and data analysis through to deployment, monitoring and ongoing optimization.

Skillset

• At least 5 years of hands-on experience developing and deploying machine learning models in production environments.

• Deep knowledge of core ML techniques, including classification, regression, ranking and recommendation systems.

• Proficiency in Python and modern ML frameworks such as Scikit-learn, TensorFlow or PyTorch.

• Strong software engineering fundamentals, with experience building production-grade services and REST APIs.

• Practical experience working with cloud platforms such as AWS, GCP or Azure.

• Exposure to Large Language Models (LLMs) and their use in search, recommendations, or related applications is a big plus.

• Familiarity with MLOps tools and practices, including platforms like MLflow or Kubeflow.

• Experience working within e-commerce or online marketplace environments is a bonus.

Benefits

• Salary:  $160,000–$200,000 DOE

• Equity.

• Comprehensive benefits package.

• Remote working options.

Our client, an IT Services company who specializes in federal government, is hiring a ServiceNow Architect to join their team in Virginia. The successful candidate will lead the design, development and optimization of their enterprise ServiceNow ecosystem, delivering scalable, future-ready solutions that enhance workflows and elevate service delivery.


Responsibilities

• Lead the architecture, deployment and optimization of the ServiceNow platform across key modules such as ITSM, ITOM, HRSD and SecOps.
• Convert organizational objectives into scalable, high-value ServiceNow solutions that enhance processes and drive productivity.
• Design secure, efficient integrations between ServiceNow and external systems using established protocols and integration tools.
• Provide technical direction to development teams on configuration, customization and automation, ensuring adherence to best practices and governance standards.
• Maintain platform excellence through effective data management, workflow optimization and performance tuning.
• Manage technical reviews, testing cycles, deployment activities and ongoing enhancements to the platform.
• Mentor developers and analysts in architecture principles, scripting and DevOps methodologies to strengthen team capability.
• Partner with federal stakeholders to ensure solutions align with modernization goals, compliance mandates and security frameworks.

Skillset

• Active Secret Clearance is required; Top Secret eligibility is a plus.
• Minimum of 5 years’ experience architecting and implementing enterprise-level ServiceNow solutions.
• ServiceNow Certified System Administrator (CSA) required; Certified Application Developer (CAD) or higher preferred.
• Extensive expertise across ITSM, ITOM, HRSD and Security Operations modules.
• Demonstrated ability to design and implement integrations using REST/SOAP APIs and other third-party technologies.
• Strong knowledge of ServiceNow data models, workflows, scripting (JavaScript, Glide API) and automation tools.
• Proven experience in custom application development, platform upgrades and troubleshooting complex technical issues.
• Familiarity with ITOM, Service Catalog and reporting functionalities.
• Experience working with cloud environments (AWS, Azure) and DevOps toolchains such as Jira, Jenkins and GitHub.

Benefits

• Salary: $170k

Our client, an AI-focused FinTech company, is hiring a Senior Backend Engineer to join their team in Manhattan, New York. The successful candidate will take the lead for core systems, from owning the overall architecture and building systems that are low-latency, resilient and cost-efficient.


Responsibilities

• Design, build and maintain backend services that are high-performance, resilient and easy to scale.

• Define service boundaries, data models and API contracts to enable independent team development.

• Set performance benchmarks and SLOs, designing systems for durability and graceful degradation under load.

• Lead technical design reviews and mentor engineers on best practices in code quality, testing, and operations.

• Take ownership of critical systems, including queue orchestration (Temporal), caching (Redis) and infrastructure automation.

Skillset

• Proven expertise building Node.js/TypeScript services.

• Experience with Go in production is a plus.

• Solid grasp of memory management, distributed systems, durable execution and edge computing.

• Hands-on experience with Temporal (or similar durable workflow systems) and Redis at scale.

• Comfortable deploying and operating services in modern cloud environments with strong observability practices.

• Familiarity with LLM integrations and their operational considerations is a plus.

• Strong communication and decision-making skills.

• Ability to make both high-level architecture and detailed code design decisions.

• Experience working with agentic or LLM-driven workflows is a bonus.

Benefits

• Salary: $150K–$200K

• Equity.

• Health, dental and vision insurance.

• 401k with 3% automatic contribution.

Our client, an AI-driven SaaS startup, is hiring a Senior Software Engineer to join their growing team in New York. The successful candidate will be responsible to design, build and scale both frontend and backend systems that power innovative AI products.


Responsibilities

• Collaborate with cross-functional teams to define requirements, design solutions, prototype concepts and deliver new features.

• Architect, develop and maintain high-performance, scalable web applications.

• Implement responsive design principles to ensure seamless user experiences across all devices.

• Develop clean, modular code and well-structured interfaces to support integration-heavy systems.

• Diagnose, troubleshoot and resolve complex technical issues across the stack.

• Contribute to code reviews to maintain high-quality standards and promote knowledge sharing.

• Stay ahead of emerging technologies and industry trends to continuously enhance product performance and innovation.

Skillset

• Demonstrated experience as a Full Stack Developer with a solid portfolio of web-based applications.

• Expertise in ReactJS, TypeScript and modern server-side technologies.

• Strong knowledge of RESTful APIs, asynchronous programming and scalable application architecture.

• Proficient in Git and collaborative version control workflows.

• Hands-on experience working with generative AI APIs, embeddings, streaming outputs or tool calling is a plus.

• Familiarity with DevOps practices, including CI/CD pipelines, container orchestration and cloud-based infrastructure.

• Exceptional problem-solving abilities with strong communication and teamwork skills.

Benefits

• Salary: $160k - $200K DOE

• Comprehensive health, dental and vision insurance.

• 401(k) with employer match.

• Remote working options.

Our client, a venture-backed AI startup, is hiring a Principal Front-End / Full Stack Engineer to join the team remotely. The successful candidate will lead the architecture and development of the user-facing platform, serve as the technical authority on front-end and middleware solutions, and guide the engineering team while shaping the overall product experience.


Responsibilities

• Lead the architecture, design and implementation of their front-end platform, ensuring scalability, reliability and exceptional user experiences.
• Develop high-quality, maintainable full-stack code, integrating modern front-end technologies with AI/ML capabilities.
• Provide technical leadership and mentorship to the engineering team, promoting a culture of growth and best practices.
• Partner with product, design, and business teams to transform user requirements into intuitive, impactful technical solutions.
• Continuously enhance engineering processes, code quality, and front-end performance.

Skillset

• At least 8 years of full-stack web development, including 5 years building complex front-end systems.
• Proven track record architecting advanced front-end and middleware solutions.
• Expertise in React, Next.js, modern CSS-in-JS and responsive design principles.
• Experience integrating with back-end services and AI/ML APIs (e.g. OpenAI, Anthropic, LlamaIndex).
• Comfortable translating Figma designs into functional interfaces and working with tools like Cursor or Windsurf.
• Deep understanding of LLM APIs, prompt engineering, and AI workflow design.
• Strong communication skills, able to explain complex technical concepts clearly.
• Experience mentoring engineers, with a focus on front-end best practices.
• Experience deploying AI/ML applications to cloud platforms is a plus.

Benefits

• Competitive salary and equity.
• Fully remote working.
• Comprehensive healthcare coverage.

Our client, a leading FinTech organization, is hiring a Senior Software Engineer to join their engineering team remotely. The successful candidate will play a pivotal part in the company’s growth by driving the full software development lifecycle, from design, development, testing, deployment and maintenance, to help shape products that positively impact millions of lives.


Responsibilities

• As the Senior Software Engineer, you will be responsible to architect and implement scalable back-end systems.

• Lead data engineering efforts across big data pipelines, including validation, cleaning, deduplication, matching, testing and quality assurance.

• Collaborate with a mission-driven engineering team to deliver high-quality, customer-focused solutions.

• Contribute to core enterprise data collection platforms that serve millions of users.

• Tackle complex challenges with simple, elegant, and scalable solutions - balancing rapid delivery with long-term vision.

Skillset

• Extensive experience in back-end engineering and distributed system design.

• Strong background in data engineering, including large-scale data processing and optimization.

• Practical experience building and scaling microservices architectures.

• Proficiency across key technologies: Back-end (Go, Python), Cloud (AWS, Terraform) and Data (PostgreSQL, S3, Redis, Snowflake, MongoDB).

• Skilled in developing, maintaining, and monitoring web services in AWS Lambda and containerized environments (e.g. Docker).

• Advanced knowledge of SQL and NoSQL databases, with experience in both data warehouses and data lakes.

• Deep understanding and application of Agile methodologies, TDD, CI/CD pipelines and DevSecOps practices.

• Previous experience working in a fast-paced startup environment is a plus.

• Strong communication skills with excellent skills in translating complex technical concepts for non-technical audiences.

Benefits

• Salary: $170k - $190k.

• Equity.

• Comprehensive health, dental and vision insurance.

• 401(k) offerings with 4% company match.

• Fully remote working environment.

Our client, a growing AI-driven startup, is hiring a a Staff Platform Engineer to join the team in California. The successful candidate will design and scale their core infrastructure, driving projects that improve system reliability, boost developer efficiency and elevate operational standards within their talented engineering team.


Responsibilities

• Design and build scalable backend systems that support complex data labeling workflows, enable real-time collaboration, and incorporate large language model (LLM) capabilities.

• Lead infrastructure initiatives focused on deployment, observability and performance optimization within a cloud-native environment.

• Develop secure, modular APIs and services that seamlessly integrate with both internal tools and customer-facing applications.

• Work closely with engineers, product managers and data operations teams to advance the company’s platform features and capabilities.

• Establish and maintain observability best practices - including logging, metrics, tracing and health monitoring - to deliver an exceptional developer experience.

• Guide architectural decisions involving service decomposition, asynchronous processing, scaling strategies and high-availability systems.

• Take ownership of the reliability and performance of critical services, including distributed task routing, model integrations and data pipelines.

• Mentor engineering team members in creating scalable, maintainable systems using contemporary engineering best practices.

Skillset

• Minimum of 8 years’ experience in backend or platform engineering, preferably within fast-growing SaaS or AI infrastructure companies.

• Proficient in Python programming, with hands-on experience using frameworks such as FastAPI.

• Strong expertise in cloud platforms (AWS, GCP or Azure), including container orchestration technologies like Docker and Kubernetes, and Infrastructure as Code tools such as Terraform.

• Experienced with SQL databases (e.g. PostgreSQL) and event-driven messaging systems (e.g. Kafka, RabbitMQ, Redis Streams).

• Well-versed in CI/CD pipelines, automated testing and deployment methodologies for large-scale production environments.

• Demonstrated ability to troubleshoot complex distributed systems, identify performance bottlenecks and build robust, resilient architectures.

• Comfortable working in early-stage, dynamic environments, taking initiative to identify and solve high-impact challenges.

• Experience integrating large language models (LLMs), working with ML/AI infrastructure or contributing to data labeling platforms is a plus.

• Architect, maintain and scale high-performance computing (HPC) and storage solutions across both on-premises and cloud environments.
• Collaborate with global teams to diagnose and resolve infrastructure challenges across operating systems, storage and networking.
• Champion innovation by exploring and implementing emerging technologies to enhance research infrastructure.
• Oversee and optimise a range of compute resources, including CPUs, GPUs and other specialised processing units.
• Work closely with software engineers to deliver seamless, high-performance platforms that power advanced research initiatives.

• Minimum of 5 years of experience in data engineering.
• Strong, hands-on experience with Databricks, especially in a production environment
• Solid expertise in Linux-based systems and environments.
• Hands-on experience with Infrastructure as Code tools, such as Ansible and Terraform.
• Working knowledge of cloud platforms like AWS, GCP or Azure.
• Genuine interest in high-performance computing and solving complex system-level challenges.
• Proven ability to diagnose and resolve issues across various layers of infrastructure.
• Effective communicator and team player, comfortable working in cross-functional and globally distributed teams.

• Salary: $250k - $300k.
• Performance Bonus.
• 401(k) matching up to 50%.
• Health, dental, vision, mental health, disability and life insurance.