AI Cloud Architect Jobs

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


Responsibilities

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

Skillset

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

Benefits

• Salary: $170k

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


Responsibilities

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

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

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

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

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

Skillset

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

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

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

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

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

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

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

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

Benefits

• Salary:  $160,000–$200,000 DOE

• Equity.

• Comprehensive benefits package.

• Remote working options.

Our client, a cutting-edge AI-driven FinTech company, is hiring a Backend Engineer to join their team in Manhattan, New York. The successful candidate will design, build and iterate on exciting products end-to-end, working across React/Next on the frontend and Node/Typescript on the backend, taking features from initial concept all the way to production.


Responsibilities

• Rapidly translate customer pain points into fully realized, high-impact features.

• Ship and iterate on frontend, backend and infrastructure components, prototyping quickly and hardening for production.

• Enhance developer experience, code quality and system observability.

• Shape product direction and contribute to the roadmap using data and user feedback.

• Make informed architectural and coding decisions, balancing speed, scalability and reliability.

Skillset

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

• Minimum of two years of experience in software engineering, with a focus on backend systems.

• Proficient in Typescript across the stack.

• Experience building seamless experiences with React/Next on the frontend and Node on the backend.

• Ability to deliver real value by crafting intuitive UX and designing APIs that simplify the user experience.

• Experience with LLM integrations and deploying applications in the cloud.

Benefits

• Salary: $100K–$200K DOE

• Equity.

• Health, dental and vision insurance.

• 401k with 3% automatic contribution.

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


Responsibilities

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

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

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

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

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

Skillset

• Proven expertise building Node.js/TypeScript services.

• Experience with Go in production is a plus.

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

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

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

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

• Strong communication and decision-making skills.

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

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

Benefits

• Salary: $150K–$200K

• Equity.

• Health, dental and vision insurance.

• 401k with 3% automatic contribution.

Our client, an AI-driven organization, is hiring an AI Engineer to join their growing team in Massachusetts. The successful candidate will be responsible to design, develop and implement AI-driven solutions that enhance efficiency, sustainability and performance across their technology platforms.


Responsibilities

• Design, develop and deploy AI systems and tools within the organization’s software ecosystem.

• Research, architect and prototype innovative AI/Machine Learning solutions to solve real-world problems.

• Communicate AI insights and best practices across multidisciplinary teams, including software, engineering and business functions.

• Partner with subject matter experts to define, refine and evaluate AI problem statements and performance metrics.

• Manage the complete AI development lifecycle - from data preparation and model creation to deployment, monitoring and ongoing optimization.

• Collaborate seamlessly with a remote, globally distributed team operating across multiple time zones.

Skillset

• Bachelor’s degree or higher in Computer Science, Data Science or similar.

• At least 3 years of experience developing Reinforcement Learning (RL) solutions, or working with LLMs and RAG implementations.

• Strong software development experience with strong proficiency in Python, including NumPy and PyTorch.

• Demonstrated ability to process and analyze complex, real-world datasets.

• Hands-on experience with IoT and time-series data.

• Practical experience with AWS, Docker, or similar cloud/container technologies.

• Solid understanding of MLOps practices and workflows.

• Familiarity with AI-driven industrial process control applications.

• Working knowledge of Test-Driven Development (TDD) principles.

• Proven experience collaborating with distributed, global teams.

Benefits

• Salary: $150k 

• Equity.

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


Responsibilities

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

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

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

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

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

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

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

Skillset

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

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

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

• Proficient in Git and collaborative version control workflows.

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

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

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

Benefits

• Salary: $160k - $200K DOE

• Comprehensive health, dental and vision insurance.

• 401(k) with employer match.

• Remote working options.

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


Responsibilities

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

Skillset

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

Benefits

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

Our client, a venture-backed AI SaaS startup, is hiring a Staff Software Engineer to join their team in New York. The successful candidate will have the opportunity to work within a small, product-driven team, tackling complex technical challenges in a greenfield environment and building foundational systems from the ground up.


Responsibilities

• Architect and develop full-stack features for the company’s AI-powered SaaS platform.

• Design core backend systems, data models, APIs and infrastructure with an emphasis on scalability, performance and maintainability.

• Translate business and product objectives into clear technical plans and make high-impact design decisions in ambiguous or evolving contexts.

• Build frontend components that present complex AI and contract insights in an intuitive and user-friendly way.

• Collaborate closely with the Head of Engineering and product stakeholders to define priorities and deliver effectively.

• Take full ownership of your work from planning through deployment and monitoring.

• Help establish engineering best practices and contribute to shaping team culture as they scale.

Skillset

• At least 8 years of professional software engineering experience, with a proven track record in system architecture and technical ownership.

• Demonstrated ability to design and build complex backend systems or distributed services, especially in greenfield projects.

• Proficiency with backend technologies such as Node.js, Go or Python, and modern frontend frameworks like React or TypeScript.

• Experience with cloud infrastructure, CI/CD pipelines and infrastructure-as-code practices.

• Strong system design skills, with the ability to evaluate and reason about architectural trade-offs.

• Hands-on experience building agentic AI systems or applications powered by large language models (LLMs) is a bonus.

• Experience in legal technology or B2B SaaS is a plus.

• Excellent communication skills, capable of explaining and defending architectural decisions.

• Self-motivated and effective in fast-paced, high-trust environments with a high degree of autonomy.

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


Responsibilities

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

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

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

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

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

Skillset

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

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

• Practical experience building and scaling microservices architectures.

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

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

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

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

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

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

Benefits

• Salary: $170k - $190k.

• Equity.

• Comprehensive health, dental and vision insurance.

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

• Fully remote working environment.

Our client, an innovator in the sports industry, is hiring a Senior Backend Engineer to join the team in New York. The successful candidate will collaborate closely with the CTO to define the technical roadmap for their SaaS platform and have the opportunity to grow into a leadership position as the team scales.


Responsibilities

• As the Senior Backend Engineer, you will be responsible to architect and maintain new backend APIs.

• Implement integrations with external platforms such as Salesforce, Asana, Dynamics, and Google Calendar.

• Develop backend data pipelines (ETL, BigQuery) to support advanced analytics and reporting.

• Strengthen and secure APIs to safeguard sensitive sponsorship data and ensure compliance.

Skillset

• Proficient in Python with solid hands-on experience.

• Expertise in designing RESTful APIs (Flask or FastAPI; ORM experience is a plus).

• Experienced in integrating third-party platforms and working with OAuth.

• Comfortable with modern development workflows: Git, GitHub and AI-assisted coding tools (e.g. Cursor).

• Familiarity with Google Cloud, particularly Firebase (Hosting, Firestore – NoSQL) is a bonus.

• Experience building data pipelines, ETL processes and working with cloud data warehouses (BigQuery a plus).

Benefits

• Salary: $130K–$150K.

• Equity.

Our client, an exciting Series B Startup innovating the Fintech industry, is hiring a Principal Engineer to join their New York team remotely. The successful candidate will play a key role in expanding their cutting-edge FinTech and data platform, driving advancements in financial health, identity services and inclusive decision-making for both individuals and businesses.


Responsibilities

• Drive the design and development of advanced back-end services, data platforms and AI/ML models that serve millions of users.

• Work collaboratively with cross-functional teams, including engineering managers, product owners and designers.

• Offer technical leadership, mentorship and support the professional growth of engineering team members.

• Lead project planning and execution while fostering team expansion through recruiting and onboarding efforts.

• Champion and uphold the company’s culture and commitment to operational excellence.

Skillset

• Master’s degree in Computer Science or similar, with a minimum of 10 years of engineering experience.

• Proven expertise in back-end development, microservices, API-driven and event-driven architectures and data platform engineering.

• Strong proficiency with AWS services such as DynamoDB, ECS/EKS, RDS, S3, SNS/SQS and Lambda.

• In-depth knowledge of credit reporting, lending, banking, payments, identity or other financial services domains.

• Advanced programming skills in Go, Python, C++ or Java.

• Hands-on experience with relational and NoSQL databases, microservices and event-driven system designs.

• Competence in building and deploying machine learning models, with a solid understanding of ML concepts.

• Familiarity with ETL/ELT tools like Airflow, Dagster, Prefect, and cloud data warehousing with Snowflake.

• Demonstrated leadership in product and business strategy, including roadmap planning and successful delivery.

• Excellent communication skills, able to effectively connect technical and non-technical stakeholders.

Benefits

• Salary: $200,000 - $220,000.

• Equity.

• Comprehensive medical, dental and vision insurance.

• 401(k) with a 4% company match.

• Remote Working (US Only).