AI Cloud Architect Jobs

Our client, an AI-powered SaaS organization, is hiring a Senior Software Engineer to join their team in New York City. The successful candidate will play a key role in designing, developing and maintaining the frontend and backend systems that support their AI platform, while delivering scalable, high-performance solutions and exceptional user experiences.


Responsibilities

• Design, build and maintain scalable frontend and backend applications powering the company's AI SaaS platform.

• Work closely with cross-functional teams to define, prototype and deliver innovative product features.

• Develop clean, maintainable code and scalable architectures for a complex, integration-focused platform.

• Create responsive, intuitive user interfaces that deliver seamless experiences across multiple devices.

• Improve application performance, reliability and scalability through continuous optimization.

• Design and implement APIs, backend services and efficient data processing workflows.

• Diagnose, troubleshoot and resolve technical issues to ensure platform stability.

• Contribute to code reviews, technical discussions and engineering best practices across the team.

• Keep up to date with emerging software engineering trends, AI technologies and industry advancements.

Skillset

• At least 5 years of experience as a Full Stack Software Engineer developing and scaling production-grade web applications.

• Strong hands-on experience with React.js and TypeScript for building modern frontend applications.

• Proven experience developing backend services, APIs and server-side applications.

• Strong understanding of RESTful APIs, asynchronous programming and modern software architecture patterns.

• Experience working with Generative AI technologies, including AI APIs, streaming outputs, embeddings and tool calling.

• Solid experience with cloud infrastructure, CI/CD pipelines and modern deployment practices.

• Proficiency with Git and contemporary software development workflows.

• Experience working with databases such as PostgreSQL/SQL, including data security concepts such as Row Level Security.

• Strong problem-solving abilities with excellent attention to detail and a focus on delivering high-quality solutions.

• Excellent communication skills with the ability to collaborate effectively across engineering, product and business teams.

Benefits

• Salary: $180k - $220k

• Flexible and Remote working options.

• Comprehensive health, dental and vision insurance benefits.

• Life and disability insurance coverage.

• 401(k) retirement plan.

• Define and maintain the ServiceNow platform architecture, technical strategy and long-term roadmap.
• Design scalable, secure and sustainable ServiceNow solutions that align with business goals and operational requirements.
• Drive architectural decisions across ServiceNow modules, integrations and enterprise technology ecosystems.
• Partner with business stakeholders, technical teams and senior leadership to translate business needs into effective architectural solutions.
• Provide technical governance and leadership across platform development, integrations, enhancements and upgrades.
• Establish and promote best practices for platform configuration, development, security, performance and lifecycle management.
• Review solution designs, configurations and code to ensure compliance with architectural standards and quality guidelines.
• Architect and oversee integrations with enterprise applications, cloud services, identity platforms and third-party systems.
• Support ServiceNow transformation, platform optimization and continuous improvement initiatives.
• Mentor ServiceNow developers and technical consultants, promoting architectural excellence and best practices.

• Minimum of 8 years of ServiceNow platform experience, including at least 3 years in a ServiceNow Architecture role.
• Minimum of two active ServiceNow Certified Implementation Specialist (CIS) certifications required.
• Proven experience designing and architecting large-scale enterprise ServiceNow implementations.
• Strong expertise across multiple ServiceNow modules, platform capabilities and enterprise workflows.
• Extensive experience with CMDB architecture, ServiceNow data models and configuration management best practices.
• Hands-on experience designing ServiceNow integrations using IntegrationHub, REST/SOAP APIs, MID Server and enterprise integration patterns.
• Experience architecting cross-platform solutions integrating ServiceNow with cloud platforms, infrastructure, ERP, HR and identity management systems.
• Strong knowledge of ServiceNow development practices, including JavaScript, Flow Designer, scripting and platform configuration.
• Experience leading technical architecture workshops, establishing platform governance and driving ServiceNow best practices.
• Excellent stakeholder management and communication skills, with experience working across technical teams, business users and senior leadership.

Our client, a growing FinTech company, are hiring an AI Engineer to join their team in Colorado. The successful candidate will architect, develop and scale enterprise-grade multi-agent AI systems, taking ownership of complex solutions from initial design through to production deployment to shape the future of agentic AI within the financial services industry.


Responsibilities

• Design and develop production-ready multi-agent AI systems using modern agent frameworks and architectures.

• Build intelligent AI workflows that integrate retrieval, reasoning, tool execution, validation and compliance controls.

• Develop scalable distributed services to support reliable agent execution, monitoring and fault tolerance.

• Create evaluation frameworks to assess reasoning performance, accuracy, groundedness, hallucination mitigation and financial correctness.

• Implement robust memory management, context handling and agent state persistence solutions.

• Collaborate with Product, Design and Engineering teams to translate business requirements into scalable AI solutions.

• Optimise AI systems for performance, latency, scalability, reliability and cost efficiency.

• Shape architectural decisions across model serving, vector databases, orchestration platforms, caching strategies and cloud infrastructure.

Skillset

• At least 6 years' experience in Machine Learning, including 3 years building and deploying Generative AI and LLM-powered applications in production environments.

• Demonstrated experience designing, developing, and deploying multi-agent AI systems.

• Deep expertise across multimodal LLMs, agent frameworks, knowledge graphs, reinforcement learning, model fine-tuning, agent memory and data synthesis techniques.

• Advanced Python programming skills with strong experience using modern AI and machine learning frameworks.

• Proven experience building distributed systems and deploying cloud-native applications across AWS, GCP or Azure.

• Experience developing monitoring, evaluation, and reliability frameworks to ensure the performance and safety of AI systems.

• Strong architectural and systems-thinking capabilities, with the ability to design scalable, multi-component AI platforms.

• Experience working in high-growth, fast-paced, or early-stage startup environments is highly desirable.

Benefits

• Salary: $200k - $275k

• Comprehensive benefits package.

Our client, a growing FinTech company, are hiring a Staff Machine Learning Engineer to join their team in Colorado. The successful candidate will play a key role in designing and building production-grade, multi-agent AI systems that power advisor copilots, investment intelligence, workflow automation and autonomous research.


Responsibilities

• Design, develop and deploy production-grade multi-agent AI systems using modern agent frameworks and large language models (LLMs).

• Build intelligent AI workflows that combine context retrieval, reasoning, tool execution, validation and compliance controls.

• Develop scalable distributed services for agent orchestration, with a focus on observability, monitoring, resilience and fault tolerance.

• Create evaluation frameworks to assess reasoning quality, accuracy, groundedness, hallucination mitigation and financial correctness.

• Implement scalable approaches to memory management, context handling and persistent agent state.

• Collaborate closely with Product, Design and Engineering teams to translate business requirements into scalable AI solutions.

• Continuously optimize AI systems for performance, latency, reliability, scalability and cost efficiency.

• Influence the design and evolution of AI infrastructure, including model serving, orchestration, vector databases, caching and cloud-native architecture.

Skillset

• At least 6 years of experience in Machine Learning, including 2-3 years building and deploying Generative AI or LLM-powered applications in production environments.

• Proven experience designing, developing and implementing production-ready multi-agent AI systems.

• Strong expertise in multimodal LLMs, agent frameworks, knowledge graphs, reinforcement learning, model fine-tuning, agent memory and synthetic data generation.

• Advanced Python programming skills with hands-on experience using modern AI and machine learning frameworks.

• Experience building distributed systems and deploying cloud-native applications across AWS, Azure or Google Cloud Platform (GCP).

• Strong understanding of AI system monitoring, evaluation frameworks, reliability engineering and model performance optimization.

• Demonstrated ability to design scalable, enterprise-grade AI architectures that integrate multiple models, services, and workflows.

• Previous experience working in a fast-paced startup or scale-up environment is highly desirable.

Benefits

• Salary: $200k - $275k

• Comprehensive benefits package.

Our client, an AI-driven customer engagement company, is hiring a Senior Software Engineer to join the product engineering team in New York City. The successful candidate will design, build, and scale innovative products that transform how revenue teams operate. You'll have the opportunity to influence product strategy, technical architecture and engineering best practices while delivering high-impact features used by thousands of customers.


Responsibilities

• Design, build and deliver end-to-end full-stack features from concept through to production.

• Develop scalable frontend and backend applications using React, TypeScript, Next.js, Node.js and Go.

• Build, maintain and optimize cloud-native solutions within AWS.

• Design and implement scalable, high-performance system architectures.

• Work closely with product and leadership teams to turn customer feedback into impactful product features.

• Enhance platform reliability through testing, monitoring, observability and resilient system design.

• Support and mentor engineers by providing technical guidance and constructive code reviews.

• Help shape the technical roadmap by contributing to architectural decisions and engineering best practices.

Skillset

• At least 5 years' experience building and shipping production-grade software applications.

• Strong commercial experience with JavaScript/TypeScript and React.

• Hands-on experience developing backend services using Node.js and Go (Golang).

• Strong proficiency with AWS and cloud-native development practices.

• Solid understanding of distributed systems and software architecture principles.

• Experience designing and delivering scalable, high-performance backend systems.

• Demonstrated ability to make effective technical and architectural decisions.

• Strong problem-solving skills with a collaborative mindset.

• Excellent communication skills, with the ability to thrive in a fast-paced startup environment.

Benefits

• Salary: $200k - $250k.

• Equity.

• Comprehensive health insurance.  

Our client, an AI-driven startup within the health finance industry, is hiring a Founding Engineer to join the team in San Francisco. The successful candidate will play a pivotal role in shaping the company's product strategy, technical architecture, customer experience and overall growth trajectory, all while developing cutting-edge AI solutions that address complex, real-world challenges across the healthcare ecosystem.


Responsibilities

• Design, develop and launch customer-centric product features, taking ideas from initial concept through to production deployment.

• Create scalable AI-driven solutions, intelligent automation capabilities and next-generation healthcare technology platforms.

• Partner directly with customers to understand business challenges, gather requirements and deliver high-impact solutions.

• Take full ownership of the software development lifecycle, including solution architecture, development, testing, deployment, monitoring and continuous improvement.

• Develop and optimize applications leveraging APIs, Large Language Models (LLMs), agentic AI frameworks and Retrieval-Augmented Generation (RAG) technologies.

• Help shape the product roadmap and play a key role in strategic technical decision-making as an early member of the engineering team.

• Work closely with the founders to establish engineering best practices, influence company culture and contribute to the long-term vision of the business.

Skillset

• At least 2 years of experience designing, building and delivering full-stack applications from concept through to production.

• Proven expertise working with APIs, Large Language Models (LLMs), AI-powered solutions and Retrieval-Augmented Generation (RAG) frameworks.

• Hands-on experience developing and orchestrating agentic AI workflows, automation solutions, and autonomous systems.

• Strong proficiency in React, coupled with a keen eye for product design, usability and user experience.

• Experience with Go, PostgreSQL and Google Cloud Platform (GCP).

• Previous exposure to healthcare, emergency medical services (EMS), 911 operations, insurance or medical billing environments is beneficial.

• NREMT certification or practical EMS experience is a plus but not essential.

• Strong communication and interpersonal skills, with the confidence to collaborate directly with customers and key stakeholders.

• Self-motivated and comfortable taking ownership of projects in a high-growth startup environment.

Benefits

• Salary; $140k - $220k.

• Equity.

• Comprehensive health, vision and dental coverage.

• Wellness and fitness benefits.

Our client, an AI-driven startup in the pharmaceuticals industry, is hiring a Software Engineer to join their team in New York. The successful candidate will help build the next generation of AI-powered clinical review tools, by contributing to the design, development, testing and deployment of features used by pharmaceutical customers in live clinical trials.


Responsibilities

• Develop and deliver new platform features using Python and TypeScript.

• Enhance system reliability, scalability, performance and automated test coverage.

• Support the development of data pipelines used to ingest, standardize and process clinical trial data.

• Assist in integrating and evaluating LLM-powered workflows within a hybrid AI and heuristics-based architecture.

• Partner closely with customers to understand how medical reviewers and data managers interact with the platform.

• Collaborate with the CTO and founding team on architecture decisions and engineering best practices.

• Take ownership of clearly defined projects from implementation through to deployment.

Skillset

• At least 4 years of experience building and deploying production-grade software.

• Strong backend engineering skills in Python or a similar programming language.

• Ability to work across the full stack, including frontend development with React and TypeScript.

• Solid understanding of relational databases, SQL and data modelling concepts.

• Strong attention to clean, maintainable code, testing and software quality best practices.

• Experience working with AWS or other major cloud infrastructure platforms.

• Familiarity with AI tools, LLM-based applications or intelligent workflow systems.

• Experience building or supporting ETL pipelines, large-scale data systems, or validation frameworks.

• Previous experience working in fast-paced startup or early-stage environments is a plus.

• Exposure to healthcare, life sciences, biotech or clinical trial technology environments is an advantage.

Benefits

• Salary: $150k - $170k.

• Equity.

• Health, vision and dental insurance.

Our client, a global AI and data-driven company, are hiring a Head of Architecture and Engineering Operations to join their growing team in Dublin, Ireland. The successful candidate will shape how architecture and engineering operate across the organisation by defining the architecture operating model, setting engineering standards and leading the systems that enable teams to build and deliver at scale across cloud and AI-driven platforms.


Responsibilities

• Lead a globally distributed architecture team across multiple regions, setting clear governance structures, decision rights and architecture forums.

• Define architecture principles, standards, reference architectures, and decision frameworks, and mature the Architecture Review Board into a trusted, pragmatic governance function.

• Own and maintain the Technology Radar, guiding technology adoption, standardisation, experimentation and retirement across the organisation.

• Shape developer experience by improving tooling, golden paths, reusable patterns, AI-assisted engineering, documentation and delivery processes that increase speed and quality.

• Drive FinOps practices to improve cost transparency and optimisation across cloud and tooling spend, working closely with Finance and engineering teams to embed accountability and efficiency into delivery.

• Publish and drive adoption of engineering standards and reference architectures across the organisation.

• Establish and evolve cloud architecture patterns across AWS, Azure and Google Cloud.

• Align technical strategy with product and business roadmaps to ensure consistent delivery of outcomes.

• Support client-facing solution architecture, including strategic pursuits, solution design and technical leadership.

• Remain hands-on with key architectural decisions and complex design reviews to maintain technical credibility.

Skillset

• At least 10 years of experience in engineering, cloud, platform, or architecture leadership roles.

• A minimum of 5 years in senior or principal architecture positions.

• Proven experience leading globally distributed teams.

• Strong expertise in cloud architecture across AWS, Azure, or Google Cloud.

• Experience designing and operating enterprise-scale platforms, APIs, data systems, and AI-enabled solutions.

• Demonstrated experience in architecture governance or technical design authority roles.

• Track record of improving developer experience at scale through tools, processes, and platforms.

• Familiarity with AI-assisted engineering tools and modern development practices.

• Experience with FinOps, cloud cost optimisation, or financial management of technology spend.

• Strong client-facing experience, including pre-sales solution architecture and stakeholder engagement.

Benefits

• Salary: €130k - €149k

• 15% Bonus.

• Private healthcare, life assurance and income protection.

• Strong pension scheme.

** Please Note** Candidates must already be eligible to work in the Republic of Ireland.

Our client, a global AI and data-driven organization, are hiring a Developer Experience and Engineering Operations Lead to join their growing team in Dublin, Ireland. The successful candidate will help improve how engineering teams work by making software delivery faster, more consistent and less complex across global function by removing friction across the delivery lifecycle and enabling secure, high-quality and scalable software delivery at pace.


Responsibilities

• Own and deliver the Developer Experience and Engineering Operations roadmap, improving how engineers build, test, release and operate software.

• Identify and address friction points across the software development life-cycle using data, feedback and engineering insight.

• Design and implement pragmatic engineering standards, golden paths, reusable templates and delivery playbooks.

• Drive responsible adoption of AI-assisted development, including coding assistants and workflow automation.

• Define clear guardrails for AI usage, including prompt patterns, quality expectations and security boundaries.

• Promote adoption of internal AI platform capabilities, enabling governed reuse of AI-enabled solutions.

• Improve engineering operations across onboarding, documentation, knowledge sharing and operating cadences.

• Enhance CI/CD pipelines, observability, environment management, release processes and delivery transparency.

• Partner with Architecture, Platform, Cloud, Security and Product Engineering teams to improve end-to-end delivery capability.

Skillset

• Strong background in software engineering, DevOps, SRE, platform engineering or engineering operations.

• Proven track record of improving developer productivity across multiple teams or large organisations.

• Deep understanding of modern SDLC practices, including cloud-native development, CI/CD, APIs, observability and automation.

• Experience defining engineering standards, golden paths or reusable playbooks.

• Familiarity with modern engineering toolchains such as GitHub/GitLab, CI/CD platforms, IaC, containers, developer portals and AI tools.

• Strong stakeholder management and influence across engineering, architecture, security and product teams.

• Experience working with globally distributed engineering teams.

• Hands-on experience with AI-assisted development, including LLMs, prompt engineering and agentic workflows is a plus.

• Cloud platform experience with AWS, Azure or GCP is an advantage.

Benefits

• Salary: €112k - €128k.

• Bonus structure.

• Private healthcare, life assurance and income protection.

• Strong pension scheme.

** Please Note** Candidates must already be eligible to work in the Republic of Ireland.

Our client, a growing venture-backed Healthcare startup, is hiring a Backend Engineer to join their team in New York. The successful candidate will play a critical role in designing and building the systems that empower healthcare organizations to deliver meaningful health insights while helping strengthen their services to patients.


Responsibilities

• Design, develop, and maintain scalable backend services and cloud infrastructure.
• Build and deliver features end-to-end across the platform.
• Architect secure, reliable and resilient systems for healthcare-focused applications.
• Improve performance, scalability and system reliability to ensure seamless user experiences.
• Develop and enhance observability, monitoring and operational tooling.
• Work closely with product and engineering teams to solve complex technical problems.
• Contribute to technical strategy, system architecture and engineering best practices.
• Help shape the evolution of a platform focused on preventive health and human optimization.

Skillset

• At least 5 years of experience building backend systems using modern programming languages such as TypeScript, JavaScript, Python, Rust or Go.
• Proven experience designing and operating scalable, distributed systems.
• Strong understanding of cloud infrastructure and contemporary backend architecture patterns.
• Product-minded, with a focus on solving problems and delivering meaningful user value.
• High attention to detail across system design, architecture and implementation quality.
• Passion for building robust, secure and maintainable software systems.
• Hands-on experience with AWS cloud services and infrastructure.
• Strong expertise in PostgreSQL.
• Familiarity with Infrastructure as Code (IaC) principles and tooling is a plus.
• Interest in healthcare technology, preventive medicine or personal health optimization.

Benefits

• Salary: $200k - $300k DOE.
• Equity.
• Comprehensive medical, dental and vision coverage.

Our client, an AI-driven startup, is hiring a Founding Lead Engineer to join their team in San Francisco. The successful candidate will play a key role in building and scaling the platform, from writing production-grade code, shaping technical architecture, managing external engineering partners, making strategic build-versus-buy decisions and helping define the company's long-term technology vision.


Responsibilities

• Develop AI-powered systems that convert fragmented vendor catalogues into structured, searchable product data.

• Build ingestion, enrichment, tagging and recommendation pipelines to support large-scale inventory management.

• Create intelligent workflows that seamlessly connect inspiration, discovery and purchasing experiences.

• Design scalable backend infrastructure and product architecture capable of supporting rapid growth.

• Partner closely with the founder/CEO to rapidly translate customer feedback into intuitive product features.

• Assess, implement and optimize modern AI tools, APIs and multimodal technologies.

• Provide technical guidance to contractors and engineering contributors while maintaining high development standards.

• Contribute to the company's long-term technical strategy as the platform and engineering function evolve.

Skillset

• Proven experience designing, building and launching modern web applications from concept through to production.

• Strong technical expertise across backend engineering, APIs, cloud platforms and scalable system architecture.

• Hands-on experience working with AI-driven products, large language models, retrieval systems or intelligent automation workflows.

• Excellent product judgement with the ability to balance speed of execution, quality and practical decision-making.

• Comfortable thriving in an early-stage startup environment with significant ownership and autonomy.

• Experience leading technical initiatives, collaborating across teams or mentoring engineers.

• Genuine interest in building user-focused AI products that solve meaningful operational and workflow challenges.

Benefits

• Salary: Circa. $175k.

Our client, a data-driven organization in the logistics industry, are hiring their first Head of Security to join their team remotely. The successful candidate will establish and lead the company's security, compliance and trust function from the ground up, as well as take ownership of security, risk, governance and organizational trust across the business.


Responsibilities

• Lead and maintain SOC 2 Type II compliance programmes.

• Drive compliance initiatives including ISO 27001, HIPAA readiness, GDPR and additional enterprise security frameworks.

• Build and scale governance, risk and compliance processes across the organisation.

• Lead enterprise customer security reviews, audits, questionnaires and vendor assessments.

• Partner with engineering teams on secure SDLC practices, threat modelling and application security.

• Strengthen API and integration security across customer-facing systems and platforms.

• Own cloud and infrastructure security across IAM, encryption, monitoring, logging and vulnerability management.

• Build and manage incident response processes, escalation procedures and post-incident reviews.

• Define and enforce controls around sensitive operational, telemetry, location and PII data.

• Report directly to the CEO and provide regular updates to leadership and the board on security posture and risk.

Skillset

• 10 years of experience within cybersecurity, including at least 3 years leading security functions in SaaS or data-platform environments.

• Previous experience operating as a Head of Security, CISO or in a similar security leadership position.

• Proven track record delivering and managing SOC 2 Type II programmes end-to-end.

• Strong technical understanding of cloud security, application security, and modern SaaS architectures.

• Experience leading enterprise customer security reviews, audits, and risk assessments.

• Solid knowledge of governance, risk, and compliance frameworks within enterprise environments.

• Excellent communication skills with the ability to manage and influence senior stakeholders.

• Experience working with frameworks such as ISO 27001, HIPAA, FedRAMP, or similar standards is a bonus.

• Previous experience working within Seed to Series B startup environments is a plus.

• Relevant industry certifications such as CISSP, CISM, CCSP, or AWS Security Specialty would be highly desirable.

Benefits

• Salary: $200k - $260k DOE.

• Equity.

• 401(k) match

• Fully remote working within the U.S.

Our client, an AI-driven healthcare company focused on personalizing patient care, is hiring a Member of Technical Staff to join their team remotely. The successful candidate will help build and scale the AI and data systems powering next-generation primary care solutions, working closely with the core platform from day one while helping shape both the technical architecture and overall product direction.


Responsibilities

• Build and optimize AI agent workflows capable of complex reasoning, tool use and decision-making.

• Design guardrails, fallback mechanisms and escalation pathways to ensure safe patient-facing AI experiences.

• Develop and launch AI-powered product features from concept through to production.

• Improve retrieval systems to deliver accurate, traceable and explainable medical information.

• Enhance search quality, citation accuracy and data lineage across clinical knowledge systems.

• Rebuild and streamline data pipelines to improve reliability, integrity and freshness of healthcare data.

• Develop low-latency voice AI systems for clinical intake, triage and patient follow-up interactions.

• Build monitoring, analytics and observability systems to track AI performance, reliability and production health.

• Fine-tune foundation and multimodal models using clinical datasets to improve safety, accuracy and user experience.

• Create robust evaluation and training frameworks, including automated testing and human-in-the-loop feedback systems.

Skillset

• Strong software engineering skills with a focus on Python development.

• Proven experience designing and deploying production-grade AI/ML systems.

• Solid understanding of PostgreSQL, including JSONB structures and vector-based search capabilities.

• Experience working with AWS and distributed cloud architecture.

• Practical experience integrating LLM APIs and delivering AI-driven product features.

• Familiarity with frameworks and tooling such as PyTorch, Hugging Face, vLLM, Axolotl or similar technologies.

• Experience developing AI agents, autonomous workflows or RAG-based systems.

• Exposure to voice AI, multimodal applications or medical imaging technologies is a plus.

• Comfortable operating across infrastructure, backend engineering and product-focused workflows.

• Strong analytical, troubleshooting and systems-thinking skills.

Benefits

• Salary: $220k - $250k.

• Equity.