AI Cloud Architect Jobs

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 fast-growing Healthtech startup, is hiring a hands-on VP of Engineering to join their team in New York. The successful candidate will lead the development of a platform supporting independent primary care practices, responsible for building data-intensive products, transforming manual processes into scalable software and managing a growing engineering and data team.


Responsibilities

• Set the technical direction and architecture for backend services, data pipelines and customer-facing products.

• Build systems that collect, transform and deliver complex healthcare and practice management data.

• Create dashboards, workflows and operational tools that help clinic staff access and act on information.

• Connect electronic health records and practice management platforms to ensure reliable data flows.

• Work with product and operations teams to turn manual tasks into automated workflows and self-service capabilities.

• Define engineering practices that improve delivery, maintainability and scalability.

• Oversee hiring, onboarding and professional development across the engineering and data team.

• Guide technical decisions through architecture reviews, code reviews and practical mentorship.

• Maintain production quality and reliability through testing, monitoring, issue resolution and controlled releases.

Skillset

• At least 8 years' experience developing production web applications, with responsibility for major systems or products.

• Strong backend and data engineering skills, alongside the ability to work across the full stack.

• Proficiency in Python and JavaScript, with experience designing and building RESTful APIs.

• A track record of creating data-intensive applications that help non-technical users understand and use complex information.

• Expertise in data modelling, query optimisation and processing data within applications.

• Familiarity with cloud data warehouses and modern data tools.

• Experience leading frontend and backend engineers, including recruiting, mentoring and expanding teams.

• A product-led mindset, with sound technical judgement and the ability to balance delivery priorities with future requirements.

• Experience working with healthcare, billing or claims data would be beneficial.

• Knowledge of workflow automation, rule-based systems or turning managed services into self-service software would also be an advantage.

Benefits

• Salary: $250k - $325k.

• Equity.

Our client, an early-stage AI Software company, is hiring a Senior AI /Machine Learning Platform Engineer to join their team in New York City. The successful candidate will develop the models and infrastructure powering diagnostics and customer experience, building shared AI capabilities across voice, chat and other agent workflows while taking ownership from data processing and model development through to deployment and continuous improvement.


Responsibilities

• Develop and operate machine learning infrastructure supporting search, retrieval, indexing, training, evaluation, inference and model deployment.

• Build and refine models for diagnostics, fault prediction, parts selection, ranking, information extraction and customer-support automation.

• Develop shared capabilities for voice and chat agents, covering context, memory, knowledge retrieval, tools, policies and continuity across channels.

• Create data and feedback pipelines drawing on service histories, technical documentation, equipment data, conversations, images and repair results.

• Maintain reliable distributed services, data pipelines, search systems and live inference through performance monitoring, capacity planning and failure recovery.

• Design evaluation frameworks that link model accuracy and retrieval quality to customer experience and repair outcomes.

• Turn conversation data, agent activity and human feedback into ongoing improvements to models and agent performance.

• Strengthen engineering workflows through automated testing, CI/CD, observability, reusable infrastructure and controls for AI-generated code.

• Collaborate with product engineers and domain experts to bring fast, explainable and dependable AI features into production.

• Make practical architecture decisions around internal development, third-party solutions, compute, storage, model providers and open-source tools.

Skillset

• At least 5 years' professional experience in software or machine learning engineering, including delivery of production systems.

• Strong coding skills in Python and TypeScript, with confidence working across models, backend systems, data platforms and cloud infrastructure.

• Sound knowledge of modern search and ML systems, including retrieval, indexing, evaluation, deployment and the challenges of models running in production.

• A strong understanding of distributed systems, performance tuning, reliability, observability and infrastructure costs.

• Experience applying AI development tools to increase productivity while maintaining engineering standards.

• The flexibility to move between research, infrastructure and product development as priorities evolve.

• An interest in creating reusable AI capabilities across diagnostics, customer support and multiple communication channels.

• A proactive approach, strong ownership and a focus on delivering measurable value to customers.

• Experience with ranking, recommendation engines, vector or graph search, multimodal models or real-time inference is desirable.

• Familiarity with ML platforms, evaluation frameworks, developer tools, GPUs, inference optimization, infrastructure as code or incident response would be an advantage.

Benefits

• Salary: $210k.

• Equity.

Our client, a leading financial services organization, is hiring a Senior ServiceNow Architect to join their team in Georgia. The successful candidate will define the ServiceNow platform's architecture and roadmap, oversee solution design and ensure delivery aligns with business objectives and enterprise standards.


Responsibilities

• Shape the ServiceNow platform architecture and roadmap to meet evolving business priorities.

• Design solutions across ITSM, ITOM, HRSD, CSM, ITAM, SAM, GRC and SecOps, incorporating integrations, AI and DevOps capabilities.

• Set architectural standards, design principles and governance processes to ensure consistent implementation.

• Provide technical direction on security, data integrity, scalability, resilience and platform upgrades.

• Collaborate with architects, platform owners and product teams to connect ServiceNow with the wider enterprise ecosystem.

• Assess and oversee the integration of agentic AI and generative AI tools.

• Lead the introduction of new ServiceNow functionality and platform releases.

• Create reference architectures, reusable frameworks and templates to streamline solution delivery.

• Contribute to infrastructure architecture across cloud and on-premises environments.

• Coach ServiceNow engineers and promote shared architectural knowledge and practices.

Skillset

• At least 7 years' experience in enterprise or solution architecture, delivering large-scale systems across multiple business and technology domains.

• At least 3 years' experience designing ServiceNow architectures and leading complex implementations across multiple modules.

• Minimum of 3 years' experience with core ServiceNow capabilities, including Service Catalog, Flow Designer, Integration Hub, CMDB, Discovery, Performance Analytics and custom applications.

• Strong knowledge of key ServiceNow modules, particularly ITSM, ITOM, CSM or GRC.

• Experience designing enterprise integrations using REST, SOAP, JDBC or similar technologies.

• Hands-on development skills in JavaScript, ServiceNow scripting and Studio/App Engine.

• At least one year's experience with agentic AI architectures, AI skills development and enterprise applications of generative AI.

• Knowledge of security, compliance and DevOps principles, ideally supported by experience with CI/CD pipelines, GitHub Actions and automated deployments.

• Familiarity with AWS or GCP, cloud-native services, multi-cloud architectures and cloud migration strategies would be an advantage.

• Strong stakeholder communication skills, with the ability to translate business requirements into architectural solutions.

Benefits

• Salary: $110k - $140k.

Our client, an innovative Healthtech company, is hiring a Software Development Engineer in Test (SDET) to join their team in California. The successful candidate will design, build and own the test automation architecture, develop scalable automation frameworks and embed reliable testing into CI/CD pipelines to ensure new features are secure, dependable and ready for release.


Responsibilities

• Develop and maintain automation frameworks for UI, API, integration and Model Context Protocol (MCP) testing.

• Embed automated test suites into CI/CD pipelines, incorporating quality gates, parallel execution, clear reporting and monitoring for unreliable tests.

• Automate key user journeys, including registration, identity verification, consent management, health record retrieval and data delivery.

• Maintain regression suites, release smoke tests and automated checks of critical production workflows.

• Create synthetic patient data, sample healthcare records and mock external services to support reliable testing.

• Work closely with Product and Engineering to define requirements, refine acceptance criteria and ensure features can be tested effectively.

• Validate authentication, authorisation, consent revocation, access controls and audit trail accuracy.

• Build automated evaluations for AI features, checking accuracy against source records, identifying hallucinations and detecting regressions following model or prompt changes.

• Investigate test failures, document reproducible defects and report quality metrics to inform release decisions.

• Maintain traceable testing evidence to support HIPAA and SOC 2 compliance.

Skillset

• Minimum of 4 years' experience in software testing and automation, including at least 2 years building or significantly extending automation frameworks.

• Strong coding skills in TypeScript/JavaScript or Python.

• Hands-on UI and API testing experience using tools such as Playwright, Cypress, Selenium, Pytest, Postman/Newman or REST Assured.

• A solid understanding of REST APIs, JSON, HTTP and OAuth 2.0/OIDC.

• Experience with Git and CI/CD pipelines, using GitHub Actions, Jenkins, GitLab CI or similar tools.

• Familiarity with cloud environments, preferably AWS, alongside Docker and containerised services.

• Strong attention to privacy, security, data integrity and edge cases, with clear communication skills and a collaborative approach.

• Experience with healthcare interoperability standards, health information exchanges or EHR integrations would be an advantage.

• Experience testing LLM-powered applications, AI agents or MCP servers would be beneficial.

• Exposure to performance testing, observability tools or HIPAA-regulated/SOC 2-audited environments would be a plus.

Benefits

• Salary: $140k - $180k.

Our client, a rapidly growing AI startup in the hospitality sector, is hiring a Founding Applied AI Engineer to join their team in New York. The successful candidate will play a key role in developing the platform, delivering AI applications into production and leading technical decisions, while also helping define the product roadmap and broader business strategy.


Responsibilities

• Build and launch end-to-end product features, spanning backend services, AI workflows and customer-facing React applications.

• Develop the systems that enable AI agents to operate effectively, including context handling, tool execution, orchestration, persistent state and human approvals.

• Create APIs, integrations and data pipelines linking point-of-sale, accounting, payroll and other business systems.

• Convert invoices, recipes, supplier catalogues and inventory records into accurate, structured data.

• Design evaluations around real customer workflows and diagnose issues across model outputs and tool interactions.

• Strengthen agent reliability through effective error recovery and escalation processes.

• Use production results to guide model selection and improve accuracy, completion rates, response times and operating costs.

• Engage with customers to understand their operational needs and translate feedback into practical product enhancements.

• Help shape system architecture, product priorities and engineering practices as the business grows.

Skillset

• Strong technical expertise in LLM and agentic applications, backend and data systems, or React product development.

• Proficiency in Python or JavaScript/TypeScript, with a willingness to develop across both.

• Experience delivering production AI agents, including tool integration, context management, persistent state, error recovery and evaluations.

• An understanding of different AI models and providers, and how their strengths and limitations influence architecture and performance.

• Experience developing and operating cloud applications on AWS, GCP, Azure or similar platforms.

• A track record of building substantial software and explaining the technical decisions behind it; startup work, personal projects and open-source contributions are welcome.

• Experience building data pipelines and working with SQL or document databases to manage incomplete or inconsistent information.

• Strong engineering practices, including version control, maintainable code, effective testing and systematic debugging.

• A product-focused mindset, with the initiative to understand customer needs, challenge assumptions and take ownership of delivery.

Benefits

• Salary: $150k - $225k.

• Equity.

Our client, a rapidly growing AI startup in the hospitality sector, is hiring a Founding Software Engineer to join their team in New York. The successful candidate will be responsible for helping to shape the product roadmap, work closely with customers and lead feature development from early ideas through to launch.


Responsibilities

• Build and launch end-to-end features across backend systems, AI agents and customer-facing React applications.

• Develop the infrastructure supporting agent context, tool use, orchestration, persistent state and human approvals.

• Create APIs, integrations and data pipelines linking point-of-sale, accounting, payroll and other operational platforms.

• Convert invoices, recipes, supplier catalogues and stock records into accurate, structured data.

• Evaluate agents against real customer workflows, diagnose failures and strengthen recovery and escalation processes.

• Use production results to assess models and providers, improving accuracy, completion rates, response times and cost efficiency.

• Collaborate with customers to understand day-to-day challenges and turn their feedback into practical product enhancements.

• Help shape product priorities, system architecture and strategic decisions as an early member of the engineering team.

Skillset

• Strong technical expertise in LLM and agentic applications, backend and data system and/or React product development.

• Proficiency in Python or JavaScript/TypeScript, with the flexibility to work across both.

• Experience deploying production AI agents, including tool execution, context management, persistent state, failure recovery and evaluations.

• Ability to assess different AI models and providers, understanding how their strengths and limitations influence architecture and performance.

• Experience developing and operating cloud infrastructure on AWS, GCP, Azure or equivalent platforms.

• Strong data engineering skills, including APIs, integrations, pipelines and databases that handle incomplete or inconsistent information.

• A track record of building substantial software, with the ability to explain technical decisions, trade-offs and lessons learned.

• Good engineering discipline, including readable code, version control, testing and systematic debugging.

• A product-focused, proactive approach, with the confidence to work with customers, challenge assumptions and own delivery in an early-stage environment.

Benefits

• Salary: $150K - $225K

• Equity.

Our client, a venture-backed HealthTech startup, is hiring a Founding Engineer to join their team in San Francisco. The successful candidate will turn real customer challenges into products that make a difference, owning the journey from the first conversation through design, development, launch and beyond.


Responsibilities

• Take customer-facing features from concept to launch, building across the full stack.

• Build AI agents that streamline documentation, process claims and automate the management of denied claims.

• Partner with customers to understand their day-to-day challenges and uncover opportunities for better solutions.

• Lead technical delivery, from architecture and development through deployment and production support.

• Design intuitive interfaces that make complex workflows simple to navigate.

• Shape engineering standards, influence product priorities and build the foundations for the company's growth.

Skillset

• At least 3 years of experience taking full-stack products from initial idea through to launch.

• Practical experience building agentic AI workflows and using AI agents to accelerate development.

• Experience integrating APIs and working with LLMs and RAG architectures.

• Strong React development skills, paired with an eye for thoughtful design and intuitive user experiences.

• Experience with Go, PostgreSQL or Google Cloud.

• Knowledge of emergency medical services, healthcare or insurance billing is a plus.

• Previous experience as a founder or founding engineer is a bonus.

• Clear communication skills and confidence working directly with customers.

Benefits

• Salary: $140k - $220k.

• 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: Circa €170k

• 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 fast-growing AI technology company is hiring a hands-on Director of Software Engineering to join the team in Cleveland, Ohio. The successful candidate will provide strategic and technical leadership across multiple engineering teams, from building high-performing teams, scaling complex software platforms, strengthening engineering practices, and delivering secure, reliable, enterprise-grade technology.


Responsibilities

• Provide strategic and technical leadership across multiple software engineering teams.

• Develop engineering roadmaps aligned with business objectives, product strategy and organizational growth.

• Lead, mentor and develop Engineering Managers and Senior Engineers while building high-performing teams.

• Oversee the delivery of complex software initiatives, ensuring quality, reliability and timely execution.

• Establish engineering standards, architectural principles, coding practices and operational best practices.

• Guide system architecture, scalability, platform modernisation and long-term technical strategy.

• Ensure software solutions meet high standards for performance, security, reliability and availability.

• Drive continuous improvement across Agile, DevOps, CI/CD and quality assurance practices.

• Partner with Product, Data, Security, Infrastructure and other cross-functional teams to align priorities and delivery.

• Communicate engineering strategy, performance, risks and priorities to senior and executive stakeholders.

Skillset

• Bachelor's or Master's degree in Computer Science, Engineering or similar.

• At least 10 years of software engineering experience, including a minimum of 5 years in senior engineering leadership roles.

• Proven track record leading large, distributed or multidisciplinary engineering teams.

• Strong expertise in modern software development, cloud architecture, DevOps and CI/CD practices.

• Experience designing and delivering scalable enterprise software, microservices, APIs and distributed systems.

• Demonstrated success delivering complex software products and platforms at scale.

• Strong understanding of high-availability, secure, and resilient systems.

• Hands-on experience with AWS, Azure, or GCP, alongside Kubernetes, containers and Infrastructure as Code.

• Excellent leadership, communication, stakeholder management and strategic decision-making skills.

• Experience managing engineering budgets, workforce planning and operational performance.

Benefits

• Salary: $150k - $200k.

• Performance Bonus.

Our client, a growing AI SaaS organization, is hiring a Senior Software Engineer to join the team in New York. The successful candidate will combine modern software engineering with artificial intelligence, working with emerging technologies and advanced AI frameworks to build and deliver scalable, production-ready solutions for the company's Managed Service Providers (MSPs) and SMB clients.


Responsibilities

• Partner with cross-functional teams to define, design, prototype and deliver new product features.

• Design, build and maintain scalable frontend and backend applications.

• Develop responsive, intuitive user experiences across multiple devices and platforms.

• Build clean, maintainable abstractions and interfaces for an integration-focused technical product.

• Improve application performance, reliability and scalability.

• Investigate, troubleshoot and resolve technical issues across the application.

• Participate in code reviews and help establish and maintain engineering best practices.

• Keep up to date with emerging technologies, AI frameworks and modern software engineering practices.

• Help shape the platform's architecture, technical roadmap and long-term direction.

Skillset

• At least 4 years of full-stack software engineering experience, with a strong track record of building and shipping production web applications.

• Strong proficiency in React, TypeScript and server-side development.

• Experience designing and integrating RESTful APIs and working with asynchronous programming.

• Strong understanding of software architecture, application performance, scalability and maintainability.

• Experience with Git and modern development workflows, including CI/CD and deployment processes.

• Hands-on experience with generative AI APIs, streaming outputs, embeddings and tool calling.

• Experience working with cloud infrastructure and container orchestration technologies.

• Familiarity with testing frameworks such as Jest or Cypress, along with strong software quality practices is a plus.

• Working knowledge of PostgreSQL/SQL, including Row Level Security, with an understanding of server-side rendering and static site generation is an advantage.

• Excellent problem-solving, communication and collaboration skills.

Benefits

• Salary: $150k - $200k

• Flexible working arrangements, including remote work options.

• Comprehensive health, dental and vision insurance.

• Life and disability insurance coverage.

• 401(k) retirement plan with company matching.