AI Infrastructure Lead Jobs

Our client, an innovative AI and Data company, is hiring a Data Operations Lead to join the team in New York. The successful candidate will own the end-to-end data lifecycle, shaping data operations, developing scalable processes, managing external partners and ensuring the highest standards of dataset quality to deliver high-quality, production-ready datasets for leading AI research teams.


Responsibilities

• Own the end-to-end delivery of high-quality AI training datasets, from raw audio data collection through to production-ready outputs.

• Collaborate with AI research teams and external partners to define, manage and deliver dataset requirements.

• Support the development and execution of commercial data agreements, ensuring successful delivery against customer expectations.

• Design, build and optimize operational workflows across transcription, annotation, quality assurance and dataset production.

• Develop robust data quality frameworks, acceptance criteria and validation processes to maintain delivery standards.

• Lead outsourced and international data operations teams, ensuring quality, efficiency and timely delivery.

• Partner with engineering teams to enhance data pipelines, tooling and operational scalability.

• Identify and implement improvements to increase dataset quality, reliability and operational efficiency.

• Serve as a key liaison between customers, internal stakeholders, engineering teams and external vendors.

• Contribute to the company's data strategy and help scale data operations as the organization grows.

Skillset

• Minimum of 5 years of experience building and scaling data operations, data pipelines or AI/ML data workflows.

• Proven experience working with audio, speech or multimodal datasets within AI or machine learning environments.

• Strong track record managing external data partnerships, dataset delivery and AI training data programs.

• Experience leading global or outsourced teams focused on data annotation, transcription and quality assurance.

• Strong understanding of data quality frameworks, validation processes and operational performance metrics.

• Technical proficiency across data pipelines, cloud infrastructure and AI/ML workflows.

• Knowledge of digital audio fundamentals, including sample rates, voice activity detection (VAD) and audio processing formats.

• Experience developing or managing AI training datasets for applications such as ASR, TTS, speaker identification or conversational AI.

• Familiarity with audio processing and data tools such as Librosa, FFmpeg, SoX, torchaudio, and cloud platforms including AWS, GCP or Azure.

• Entrepreneurial mindset with the ability to thrive in a fast-paced environment, take ownership and make decisions with limited information.

Benefits

• Salary: $180k - $220k

• Comprehensive benefits package.

• 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, an AI-driven startup within the manufacturing industry, is hiring a hands-on Director of AI to join their team in San Jose, CA. The successful candidate will play a key role in shaping the company's AI vision, developing the knowledge graph, agentic systems and machine learning infrastructure that drive intelligent decision-making across global manufacturing operations.


Responsibilities

• Lead the design, development and evolution of the company's AI and machine learning architecture.

• Build, deploy and scale production-grade knowledge graph systems that power intelligent decision-making.

• Develop advanced AI agents capable of reasoning across complex manufacturing, supply chain and operational datasets.

• Create intelligent planning, forecasting and decision-support solutions using real-time data.

• Collaborate closely with founders, engineers and customers to transform industry challenges into practical AI-powered products.

• Establish and maintain best practices for model development, deployment, evaluation, monitoring and governance.

• Support the growth of the AI function by helping to recruit, mentor and develop future AI and machine learning team members.

Skillset

• At least 6 years of experience in artificial intelligence, machine learning or applied research, with a strong record of delivering real-world impact.

• Master's or PhD in Computer Science, Artificial Intelligence, Machine Learning or similar.

• Demonstrate a proven ability to build, deploy and scale AI and machine learning systems in production environments.

• Have hands-on experience designing, implementing and managing knowledge graph solutions at scale.

• Possess deep expertise in agentic AI, reasoning frameworks, retrieval systems or multi-agent architectures.

• Show a strong understanding of modern machine learning infrastructure, MLOps practices and model lifecycle management.

• Communicate complex technical concepts clearly and effectively to both technical and non-technical stakeholders.

• Track record of building and scaling enterprise SaaS products and platforms is a plus.

• Exposure to manufacturing, supply chain or industrial technology environments is a bonus.

Benefits

• Salary: $160,000-$180,000

• Meaningful Equity.

• Flexible hybrid working.

Our client, a fast-growing AI company impacting the staffing industry, is hiring a hands-on Senior Full Stack Software Engineer to join the team in New York City. The successful candidate will play a key role in scaling the infrastructure powering the company's AI-driven platform, while helping define technical strategy and remaining hands-on across backend systems, infrastructure and frontend development.


Responsibilities

• Design and scale backend architecture for AI-powered products.

• Drive technical delivery and influencing key architectural decisions.

• Develop end-to-end AI applications in collaboration with product teams.

• Enhance the reliability, observability and scalability of production environments.

• Support and mentor engineers while contributing to engineering best practices and culture.

• Work across the full stack when required, from infrastructure through to frontend development.

Skillset

• At least 10 years of software engineering experience with strong full-stack expertise.

• Previous experience in roles such as Senior Engineer, Staff Engineer, Principal Engineer, Technical Lead or Engineering Lead.

• Experience working in both high-growth early-stage startups (Series A or earlier) and later-stage scale-up environments (Series D+).

• Proven hands-on technical leadership experience.

• Strong background in building and scaling distributed, high-availability systems.

• Comfortable contributing across backend, infrastructure, and frontend environments.

• Solid production infrastructure experience, including Kubernetes, Docker, ECS, EKS, and EC2.

• Strong technical skills across JavaScript/Node.js, Python, React, AWS and MySQL/PostgreSQL.

• Experience building AI-powered or LLM-based products is an advantage.

Benefits

• Salary: $160k - $220k (depending on experience).

• Equity.

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 Early-stage user data AI platform, are hiring a Senior Full Stack Engineer to join their team in New York. The successful candidate will help define both the organization's technology and culture from the ground up.


Responsibilities

• Own and ship end-to-end features across the full stack, from backend systems to frontend UX.

• Help define and evolve the architecture of core systems, with a focus on scalability and simplicity.

• Work closely with product to translate ambiguous ideas into clear technical direction and shipped experiences.

• Design and build user-facing systems that feel fast, intuitive and responsive.

• Contribute to shaping their engineering culture, standards and development practices.

• Identify and resolve system bottlenecks across infrastructure, data and application layers.

• Make pragmatic decisions on when to build, refactor or intentionally take on technical debt.

• Collaborate cross-functionally with design and product to refine UX as a system, not just a surface layer.

• Help mentor and raise the bar of the early engineering team as the company grows.

Skillset

• At least 7 years of software engineering experience, including setting technical direction and leading projects.

• Ability to maintain an exceptionally high bar for engineering quality, while still striving to be the best individual contributor on your team.

• Experience across the stack and ability to think holistically about code, infrastructure, data and user experience.

• Previous experience in an early-stage environment.

• Experience with AI/LLM workflows is a plus.  

Benefits

• Salary: $150k - $220k

Our client, a growing HealthTech organization, is hiring a Senior Software Engineer to join their team in New York. The successful candidate will be responsible for both the technical strategy and hands-on delivery, as well as defining the architecture and building scalable, reliable data systems that enable innovation in healthcare revenue cycle management.


Responsibilities

• Lead the Integrations Team to design, build, and scale EHR and healthcare system integrations.

• Define and deliver a clear long-term technical vision with strong execution.

• Own architecture for scalable, reliable integration systems.

• Establish engineering standards and best practices across the team.

• Design and maintain data pipelines, ETLs and ingestion systems.

• Build and evolve high-performance, reliable data infrastructure.

• Develop data models aligned with a Medallion architecture approach.

• Collaborate with internal teams and external healthcare stakeholders.

• Translate complex requirements into effective technical solutions.

• Hire, mentor and scale a high-performing engineering team.

Skillset

• At least 5 years of software engineering experience, with a focus on data engineering, data modelling and systems integrations.

• Proven experience leading engineering teams and delivering complex technical projects.

• Strong background working with healthcare systems and EHR data.

• Hands-on expertise with Snowflake, SQL Mesh, Temporal (or similar orchestration tools), Python, AWS, relational databases and Medallion architecture.

• Proven track record of building and optimising ETL processes and data pipelines.

• Excellent stakeholder management and communication skills.

• Comfortable working in a fast-paced startup environment.

• Strong prioritisation and project management capabilities.

• Ability to clearly communicate complex technical concepts to both technical and non-technical audiences.

Benefits

• Salary: $190k - $210k.

• Equity,

• Medical, dental and vision insurance.

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, an early-stage Healthtech startup, are hiring a talented Product Manager to join the team in New York. The successful candidate will own the roadmap and execution of their  real-time neural monitoring platform, playing a pivotal role in translating clinical needs into scalable, high-impact products at the intersection of healthcare, machine learning and infrastructure.


Responsibilities

• Own and drive the product roadmap across clinical and infrastructure products.

• Lead discovery with clinicians, translating their needs into clear product requirements.

• Define and prioritize features across detection, alerting, visualization and data infrastructure.

• Partner directly with ML and platform engineers to navigate technical trade-offs and model behavior.

• Collaborate with regulatory and quality teams to ensure alignment with safety and submission requirements.

• Deliver product in short, iterative cycles with a small, high-impact team.

Skillset

• At least 4 years of product management experience in healthtech, medtech or other technically complex domains.

• Comfortable collaborating closely with engineering teams on system design and technical decision-making.

• Experience working on clinical or regulated products (FDA or equivalent).

• Clinical domain expertise in neurology or critical care.

• Experience with real-time or streaming data products.

• Background in ML-powered products where model behavior is a core element of the user experience is a bonus.

• Strong written and verbal communication skills.

• Self-directed, with the ability to operate quickly and independently.

Benefits

• Salary: $160k - $200k.

Our client, a leading innovator in Insurance industry, are hiring an AI Engineer to join their growing team in New York. The successful candidate will play a key role in executing the company's AI strategy, along with designing, building and integrating intelligent, reliable and scalable AI-driven features into their core applications using modern web frameworks and cloud infrastructure.


Responsibilities

• Partner with product, engineering and design teams to uncover user challenges and deliver generative AI solutions using modern software development practices.

• Build end-to-end AI integrations across the full stack - frontend, backend and infrastructure - embedding intelligence directly into applications.

• Create smart search and information retrieval systems that enable users to access relevant data quickly and efficiently.

• Design and implement robust interactions with foundation models (e.g. GPT-4, Claude, Gemini) to ensure reliable and consistent performance.

• Deliver AI-powered features that uphold the highest standards of scalability, security and performance.

Skillset

• Minimum of 5 years of experience building modern full-stack web applications with Python and JavaScript/TypeScript.

• Practical experience integrating foundation models via direct API connections.

• Demonstrated ability to translate user challenges into elegant technical solutions and lead initiatives that deliver engaging AI experiences.

• Proficient across the full application stack, from frontend to backend and infrastructure.

• Knowledge of tool calling, multi-agent systems, and emerging frameworks such as Model Context Protocol (MCPs).

• Hands-on experience with Machine Learning (PyTorch, scikit-learn) and deploying proprietary or open-source models.

• Strong communication skills with a proven ability to collaborate effectively with cross-functional teams.

Benefits

• Salary: $170k - $200k

• Stock options.

• Healthcare, vision and dental insurance.