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 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.

Our client, an Early-stage user data AI platform, are hiring a Senior Backend Engineer to join their team in New York. The successful candidate will help design and build the core systems powering a fast-growing, event-driven platform, while also taking end-to-end ownership of the backend infrastructure stack.


Responsibilities

• Design and implement scalable, event-driven, microservice-based architectures capable of processing millions of events per day.

• Build and maintain fault-tolerant, decoupled systems with a strong focus on reliability and performance.

• Work extensively with event streaming and processing platforms such as Kafka, Kinesis, Google Cloud Pub/Sub and Flink.

• Design robust data models and ontologies that ensure long-term system health and support product evolution.

• Develop and maintain backend services using Node.js, PostgreSQL and AWS.

• Design and expose APIs that power both user-facing features and internal systems.

• Contribute across the full backend stack, including infrastructure, CI/CD pipelines and system tooling.

• Collaborate closely with product and engineering teams to translate requirements into well-structured technical solutions.

• Participate in code reviews, mentor other engineers, and help raise engineering standards across the team.

• Make pragmatic engineering trade-offs between speed, scalability and long-term maintainability.

Skillset

• Strong experience designing and building distributed, scalable backend systems.

• Proven track record of working with event-driven architectures and streaming technologies.

• Deep understanding of data modelling, system design and large-scale data processing.

• Strong proficiency in Node.js, PostgreSQL and AWS.

• Experience with CI/CD pipelines and Infrastructure-as-Code tools such as Docker, Kubernetes, Terraform or Pulumi.

• Ability to operate effectively in fast-moving environments and rapidly adapt to new technologies.

• High engineering standards with a strong focus on code quality, reliability and maintainability.

• Strong communication skills with experience working across multiple teams and disciplines.

• Product-minded approach with an understanding of how technical decisions impact user experience and outcomes.

Benefits

• Salary: $130k - $220k.

Our client, an AI-driven startup focused in the digital media industry, are hiring a Senior/Staff Backend Engineer to join their team in Brooklyn, New York. The successful candidate will lead the organization's backend systems, driving technical direction, owning core infrastructure and shaping the growth of their backend team to support fast-growth expansion.


Responsibilities

• Design and implement a generation orchestration layer capable of supporting rapid user growth and high-demand workloads.

• Enhance observability across backend systems to proactively identify and resolve issues before they impact users.

• Optimize the database layer, including schema design, indexing strategies, migrations and overall performance at scale.

• Drive vendor and architectural decisions to enable new features and improve system reliability.

• Partner with the CTO, Product Engineer and Intelligence Engineering teams to deliver a stable, high-performance foundation for all clients.

Skillset

• At least 7 years of experience building resilient backend systems that operate at significant scale.

• Minimum of 5 years of TypeScript expertise with strong convictions on type safety, error handling and code structure.

• Demonstrated ability to design, deploy and maintain highly reliable systems.

• Hands-on experience with queue-based architectures, including job scheduling, orchestration and fault-tolerant workflows.

• Strong intuition for observability e.g. instrumentation, monitoring and proactively improving system reliability.

• Proven technical leadership e.g. defining architecture, making critical decisions and mentoring engineering teams.

• Experience with Convex or other real-time database architectures is a plus.

• Familiarity with creative tools, media pipelines or workflows involving complex asset management.

• Expertise in large-scale queueing and orchestration systems.

• Knowledge of serverless patterns and platforms, including Vercel, AWS Lambda and Google Cloud Run is an advantage.

Benefits

• Salary: $180k - $220k DOE.

• Equity.

• Comprehensive health and dental coverage.

Our client, a venture-backed AI Startup, is hiring a talented ML/AI Research Engineer to join their team in San Francisco. The successful candidate will lead the design, training, evaluation and optimization of agent-native AI systems, working at the cutting edge of LLMs, vector search, graph reasoning and reinforcement learning to build the intelligence layer on top of their enterprise data fabric.


Responsibilities

• Fine-tune and evaluate open-source LLMs (e.g. LLaMA 3, Mistral, Falcon, Mixtral) for enterprise-grade applications.

• Build and optimize RAG pipelines using tools such as LangChain, LangGraph, LlamaIndex or Dust.

• Develop and iterate on agent architectures (ReAct, AutoGPT, BabyAGI, OpenAgents) using real-world enterprise workflows.

• Design embedding-based memory systems with efficient, high-performance retrieval strategies.

• Implement reinforcement learning pipelines (RLHF, DPO, PPO) to improve agent behavior and decision-making.

• Create scalable evaluation frameworks, including synthetic evaluations, trace capture and explainability tooling.

• Own model observability, drift detection and alignment strategies across production systems.

• Optimize inference latency and GPU utilization across cloud and on-premise infrastructure.

Skillset

• Strong experience fine-tuning open-source LLMs using frameworks such as HuggingFace, DeepSpeed, vLLM, FSDP and LoRA/QLoRA.

• Hands-on experience with modern alignment techniques, including SFT, RLHF and DPO pipelines.

• Proven ability to build high-quality training datasets and robust evaluation frameworks for LLM systems.

• Deep understanding of scaling and optimization trade-offs, including batching, context windows, precision and quantization.

• Experience building and deploying production-grade RAG systems.

• Familiarity with orchestration and retrieval tools such as LangChain, LangGraph and LlamaIndex, and vector databases (Weaviate, Qdrant, FAISS).

• Experience working across structured (SQL, graph) and unstructured data sources.

• Experience designing agent-based systems with memory, tool use, and multi-step reasoning.

• Strong understanding of agent workflows (e.g. Plan-Act-Reflect), including self-correction and multi-agent systems.

• Expertise in inference and retrieval optimization, including chunking strategies, reranking, and low-latency deployment (e.g. vLLM, TGI).

Benefits

• Salary: $180k - $240k

• Equity.

Our client, a global AI and Data organisation, are hiring an AI Lead to join their growing AI Innovation Lab in Dublin, Ireland. The successful candidate will play a key role in shaping the platform, selecting the right technologies and leading teams to deliver AI solutions into production.


Responsibilities

• Take ownership of the AI platform architecture and its ongoing development.

• Assess and select best-in-class AI tools and technologies.

• Lead solution teams delivering and integrating AI across the business.

• Establish standards, best practices and governance frameworks.

• Oversee AI agent orchestration, monitoring and continuous optimisation.

Skillset

• At least 7 years of experience in software engineering.

• Strong proficiency in Python, with experience using LangChain and LangGraph.

• Solid understanding of Docker and cloud architecture (AWS preferred; Azure or GCP also considered).

• Hands-on experience with Generative AI technologies and prompt engineering.

• Proven track record of building and delivering enterprise-grade applications.

Benefits

• Competitive salary.

• Performance bonus.

• Comprehensive benefits package.

• Hybrid working - 3 days onsite, 2 days remote.

Our client, a global AI and Data Organisation, are hiring a Senior DevOps Engineer to join their growing engineering team in Dublin. The successful candidate will be responsible for designing, automating and managing secure, scalable cloud-native infrastructure and CI/CD pipelines, which will help stream development workflows, optimise deployment strategies and drive operational excellence.


Responsibilities

• Design, build and manage cloud infrastructure on AWS, Azure or GCP.

• Develop and maintain CI/CD pipelines using tools such as Jenkins, CloudBees and GitHub Enterprise.

• Automate infrastructure deployment using Terraform and Terragrunt.

• Implement robust monitoring and observability frameworks, including CloudWatch, Datadog and Prometheus.

• Collaborate with development teams to optimise DevOps processes and deployment workflows.

• Manage containerised environments using Docker and Kubernetes (K8s).

• Develop automation scripts using Python and Bash.

• Ensure secure and scalable environments by following best practices in IAM, security and compliance.

• Integrate code quality and security tools such as SonarQube, Fortify, Prisma Cloud and Qualys.

• Manage the artifact lifecycle using JFrog Artifactory.

Skillset

• At least 5 years of experience in application development and support.

• Strong knowledge of cloud platforms such as AWS, Azure or GCP.

• Practical experience with containerisation technologies, including Docker and Kubernetes.

• Experience using Infrastructure-as-Code tools such as Terraform or CDK.

• Proficiency in scripting and automation.

• Solid understanding of DevOps practices and secure system design principles.

• Experience with monitoring, logging and observability tools.

• Relevant cloud certifications (e.g. AWS, Azure, or GCP DevOps Engineer, Solutions Architect or Security Specialty) is a bonus.

Benefits

• Salary: €90k - €110k.

• Generous bonus.

• Private healthcare and Life assurance.

• Pension scheme.

• Flexible hybrid working model.

Interested? Contact kylec@alldus.com to learn more.


**Please Note** Applicants must have the right to work in the Republic of Ireland. Sponsorship is not offered by our client.

Our client, a global data and AI organisation, are hiring a Senior AI Engineer to join their growing team in Dublin. The successful candidate will design, build, and ship production AI systems within a fast-moving AI innovation team alongside data scientists, backend engineers, and delivery leads.


Responsibilities

• Build production-grade AI agent systems end to end, from design to deployment to ongoing support.

• Design agentic workflows with checkpoints, approvals, safe retries and human-in-the-loop steps.

• Architect agents that plan, use tools, manage memory and escalate when needed.

• Build retrieval systems using vector search, reranking, and context assembly for grounded responses.

• Create evaluation frameworks: offline test sets, regression gates, and live monitoring.

• Instrument full observability across agent runs, including cost, latency, and failure tracking.

• Build backend services in Python (FastAPI), working with Postgres, event-driven patterns and production APIs.

• Deploy using Docker, Kubernetes and CI/CD pipelines.

• Collaborate across teams to turn business problems into working AI solutions.

Skillset

• Minimum of 4 years in software engineering, applied ML or applied AI.

• Strong Python skills with solid engineering practices (testing, code review, version control).

• Experience building LLM-powered applications in production.

• Hands-on experience with agentic frameworks (e.g. LangChain, LangGraph, CrewAI, LlamaIndex).

• Experience with vector databases and retrieval systems (e.g. Pinecone, Weaviate, FAISS, Chroma).

• Understanding of agent patterns e.g. ReAct, multi-agent systems, tool use, planning.

• Cloud deployment experience on AWS, Azure or GCP.

• Production mindset with experience in monitoring, governance, automated testing, operational readiness.

• Familiarity with agentic coding tools (Cursor, Claude Code, GitHub Copilot).

Benefits

• Salary: €93k - €110k + Bonus.

• Private healthcare.

• Life assurance and income protection.

• Strong pension.

Interested?

Reach out to kyle@alldus.com to find out more. 

Our client, an award-winning Legal Tech company, is hiring a Backend Engineer to join their team remotely. The successful candidate will join an early-stage team and play a pivotal role in developing AI-driven technology that is shaping the future of the legal industry.


Responsibilities

• Partner with product and customer-facing teams to enhance and evolve platform features.

• Take ownership of projects to build, optimize and maintain the web application and Microsoft Word add-in.

• Produce clean, scalable and well-documented code.

• Architect and improve backend systems across Azure and AWS, prioritizing performance, security and accessibility.

• Explore and assess different technical solutions to inform product decisions.

• Keep up to date with emerging technologies and industry best practices.

• Collaborate cross-functionally with engineering, product, sales and customer success teams.

• Support, mentor or manage team members as the organization grows.

Skillset

• Bachelor's degree in Computer Science or similar.

• Minimum of three years of experience in software development with hands-on skills with Python.

• Experience working with Docker and containerised environments.

• Ability to build and deploy services on AWS, Azure or Google Cloud.

• Experience working with NoSQL databases and file/blob storage systems, particularly within AWS or Azure.

• Familiarity with testing frameworks such as Pytest, Jest or Cypress.

• Excellent communication skills, with the ability to explain technical concepts to non-technical stakeholders.

• Experience working with Agile methodologies and product management tools.

Benefits

• Salary: $120k - $130k

• Equity.