Ciklum is looking for a Senior Artificial Intelligence/Machine Learning Engineer to join our team full-time in India. 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.

About The Role 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.

Ideal candidates bring solid experience in platform automation, cloud engineering, Infrastructure-as-Code, GenAI technologies, and large-scale distributed platforms. This is a senior platform automation engineering role focused on accelerating enterprise adoption of Generative AI, Data Science, Data Engineering, and Advanced Analytics capabilities across Bank of America. The role will lead automation initiatives that improve developer productivity, platform reliability, operational efficiency, governance, and self-service adoption across enterprise AI and data platforms.

The successful candidate will be responsible for designing, building, and operationalizing automated platform capabilities spanning infrastructure provisioning, CI/CD, environment management, governance controls, observability, testing, deployment automation, and AI workload enablement. The individual will work closely with platform engineering, cloud engineering, architecture, data science, and business teams to deliver scalable, secure, and resilient automation solutions supporting the full lifecycle of AI and analytics workloads. This role requires strong expertise in platform automation, cloud-native technologies, Infrastructure-as-Code (IaC), DevSecOps, Generative AI ecosystem tooling, and distributed computing platforms.

The ideal candidate combines deep engineering expertise with a passion for automation, operational excellence, and continuous platform innovation.

Responsibilities L ead 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 Desirable 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

Core Skills

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

What’s in it for you?

Robust 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: We’ve got you covered with company-paid medical insurance, mental health support, and financial & legal consultations About Us 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. India is a strategic innovation hub for Ciklum, with growing teams in Chennai and Pune leading advancements in EdgeTech, AR/VR, IoT, and beyond.

Join us to collaborate on game-changing solutions and take your career to the next level. 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.

📌 Senior Artificial Intelligence/Machine Learning Engineer (Chennai)
🏢 Ciklum India
📍 Chennai