
Senior Artificial Intelligence/Machine Learning Engineer
Primary stack
Job description
About the Position
Ciklum is looking for a Senior Artificial Intelligence/Machine Learning Engineer to join our team full-time in the USA. We are a custom product engineering company that supports both multinational organizations and scaling startups to solve their most complex business challenges. With a global team of over 4,000 highly skilled developers, consultants, analysts, and product owners, we engineer technology that redefines industries and shapes the way people live.
As a Senior Artificial Intelligence/Machine Learning Engineer, become a part of a cross-functional development team engineering experiences of tomorrow. This role is a feature lead responsible for advancing end-to-end automation of GenAI and Agentic applications development using DevOps, cloud engineering, and operational excellence across enterprise GenAI and Data Science platforms. The position will build scalable automation frameworks for infrastructure provisioning, CI/CD, governance, observability, and AI workload deployment, enabling faster onboarding and delivery of enterprise AI solutions.
Responsibilities
- Lead automation initiatives for enterprise GenAI, Data Science, Metadata, Data Quality, Event Streaming, and Analytics platforms
- Design and implement self-service automation capabilities that streamline onboarding, environment provisioning, deployment, governance, monitoring, and operational workflows
- Build automated platform services supporting the complete AI and analytics lifecycle including data preparation, experimentation, model training, deployment, inferencing, observability, and lifecycle management
- Develop Infrastructure-as-Code (IaC) solutions using Terraform and related automation frameworks to enable repeatable, scalable, and compliant infrastructure deployments
- Design and implement enterprise CI/CD pipelines, automated testing frameworks, deployment automation, and release management processes using Atlassian and related DevOps toolchains
- Partner with platform engineering and cloud teams to automate Kubernetes, container, serverless, and distributed computing environments
- Build automation solutions supporting agentic AI applications, MCP-enabled services, event-driven architectures, and enterprise AI workflows
- Drive operational excellence through platform monitoring, observability, automated remediation, performance optimization, and reliability engineering practices
- Collaborate with architecture, engineering, governance, security, and business stakeholders to ensure platforms meet enterprise standards and compliance requirements
- Conduct technical design reviews, automation assessments, code reviews, and establish engineering best practices across teams
- Provide technical leadership, mentorship, and guidance to engineering teams adopting automation-first development and operational practices
- Support key business initiatives including Consumer AML Analytics and other strategic AI platform adoption efforts
Requirements
- Bachelor’s or Master’s degree in Computer Science, Engineering, Information Technology, or a related technical field
- 10+ years of hands-on experience in platform engineering, automation engineering, cloud engineering, DevOps, or large-scale distributed systems
- Proven experience building self-service enterprise platforms supporting AI/ML, Data Science, Data Engineering, and advanced analytics workloads
- Strong expertise in automation frameworks, DevOps methodologies, CI/CD pipelines, Infrastructure-as-Code, and software delivery lifecycle automation
- Deep understanding of modern open-source Generative AI and Data Science platform architectures including storage and compute separation, interactive development environments, virtual environments, containers, Jupyter, VSCode, and developer productivity tooling
- Hands-on experience implementing enterprise CI/CD automation using Atlassian ecosystem tools including Bitbucket, Bamboo, Jira, and Confluence
- Experience designing and implementing Infrastructure-as-Code solutions using Terraform and cloud-native automation frameworks
- Strong understanding of metadata management, data lineage, governance frameworks, and semantic layer concepts supporting enterprise AI and data platforms
- Experience building scalable cloud-native solutions utilizing distributed computing architectures and modern platform engineering principles
- Experience automating deployments and operations for Kubernetes, containerized, YARN, serverless, and distributed processing environments
- Experience designing and supporting event-driven architectures leveraging technologies such as Kafka and streaming data platforms
- Working knowledge of agentic AI architectures, MCP frameworks, API integrations, workflow automation, and enterprise AI enablement platforms
- Strong Python development experience for automation, orchestration, scripting, tooling, and operational engineering use cases
- Knowledge of cloud engineering principles including networking, infrastructure management, security, resilience, scalability, and cost optimization
- Experience implementing observability frameworks including logging, monitoring, tracing, alerting, automation, and operational dashboards
- Ability to communicate effectively with engineers, architects, product owners, and business stakeholders across varying technical levels
We Offer
- Strong community: Work alongside top professionals in a friendly, open-door environment
- Growth focus: Take on large-scale projects with a global impact and expand your expertise
- Tailored learning: Boost your skills with internal events (meetups, conferences, workshops), Udemy access, language courses, and company-paid certifications
- Endless opportunities: Explore diverse domains through internal mobility, finding the best fit to gain hands-on experience with cutting-edge technologies
- Care: Healthcare, Basic Life Insurance, Short and Long-term disability insurance according to the Company’s Benefit Plans
About the Company
At Ciklum, we are always exploring innovations, empowering each other to achieve more, and engineering solutions that matter. With us, you’ll work with cutting-edge technologies, contribute to impactful projects, and be part of a One Team culture that values collaboration and progress. In the US, Ciklum is growing fast-inviting experienced professionals to lead digital transformation alongside Fortune 500 clients. Be part of a company where innovation and impact go hand in hand.
Explore, empower, engineer with Ciklum!
Interested already? We would love to get to know you! Submit your application. We can’t wait to see you at Ciklum.
© Ciklum. This job description was sourced from the employer's public career page. TheJob is not the employer — we index the posting and route candidates to the source. All content rights and hiring decisions belong to the employer.
Ciklum is a global AI-powered Experience Engineering company that designs and builds digital products, platforms, and technology solutions for businesses worldwide. Founded in 2002, Ciklum brings together 3,000+ engineers, designers, data specialists, architects, and consultants working across Europe, the Americas, and Asia. The company partners with global enterprises and fast-growing technology businesses across industries including FinTech, Retail, Healthcare, and Hi-Tech. Ciklum's expertise spans software and product engineering, artificial intelligence and machine learning, cloud solutions, data and analytics, intelligent automation, customer experience, and digital transformation. With more than two decades of engineering experience, Ciklum helps companies build, modernize, and scale complex digital products while combining engineering expertise, AI, and human-centered design.
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