Note: The job is a remote job and is open to candidates in USA. Ciklum is a custom product engineering company that supports multinational organizations and scaling startups with complex technology challenges. The Senior Artificial Intelligence/Machine Learning Engineer will lead platform automation initiatives for enterprise Generative AI, data science, data engineering, and advanced analytics platforms, including infrastructure provisioning, CI/CD, governance, observability, and AI workload deployment. The role also provides technical leadership while delivering scalable, secure, and resilient automation solutions across the full lifecycle of AI and analytics workloads.
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
Skills
- 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
- Experience supporting enterprise Generative AI platforms, AI governance frameworks, model management, and AI operationalization initiatives
- Knowledge of AML, financial crime, risk analytics, fraud detection, or banking domain platforms
- Experience building platform automation for data governance, data quality, metadata management, and model lifecycle management
- Experience implementing GitOps, DevSecOps, Reliability Engineering (RE), and platform engineering best practices
- Familiarity with large-scale cloud environments and enterprise data platforms
- Experience creating reusable developer platforms, internal engineering tools, and self-service automation capabilities at enterprise scale
- Python
- Generative AI / LLMs
- RAG & Agentic AI
- MCP
- Data Engineering
- Kubernetes & Containers
- Cloud Engineering
- CI/CD & DevSecOps
- Kafka/Event Streaming
- APIs & Microservices
- AI Platform Engineering
Benefits
- Remote work arrangement
- Work alongside top professionals in a friendly, open-door environment
- Large-scale projects with a global impact and opportunities to expand your expertise
- Internal events, including meetups, conferences, and workshops
- Udemy access
- Language courses
- Company-paid certifications
- Internal mobility opportunities to explore diverse domains and gain hands-on experience with cutting-edge technologies
- Healthcare according to the Company’s Benefit Plans
- Basic Life Insurance according to the Company’s Benefit Plans
- Short- and long-term disability insurance according to the Company’s Benefit Plans
Company Overview
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