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 is a senior platform engineering role responsible for architecting, building, and advancing Bank of America’s enterprise-scale Generative AI leveraging Data Science, Event Platform, Data Quality, Metadata, and Data Platform capabilities. The role will help define the strategy, architecture, and engineering standards for next-generation AI and data platforms that enable self-service, governed, and scalable solutions across Consumer, Banking, Wealth, and Enterprise organizations.
The successful candidate will lead the design and delivery of reusable enterprise platform services that accelerate AI adoption, data-driven decision making, advanced analytics, agentic workflows, and digital transformation initiatives. This individual will work closely with architects, product owners, engineers, data scientists, and business stakeholders to build highly scalable, secure, and resilient platforms leveraging cloud-native technologies, distributed computing, modern data architectures, and Generative AI frameworks.
The ideal candidate combines deep technical expertise with strong leadership skills, a passion for innovation, and the ability to translate complex business needs into enterprise-grade platform capabilities.
Responsibilities:
- Provide technical leadership, architectural direction, and platform engineering expertise across enterprise Generative AI, Data Science, Data Engineering, Event Streaming, Metadata, and Data Quality initiatives
- Design and develop reusable platform services that enable end-to-end self-service AI and data workflows, including data onboarding, data preparation, experimentation, model development, evaluation, deployment, monitoring, governance, and observability
- Define and implement enterprise standards, reference architectures, and engineering best practices for scalable AI and data platforms
- Lead the design and delivery of agentic AI applications, intelligent workflows, MCP-enabled services, and event-driven architectures using modern open-source technologies
- Partner with business, product, architecture, and engineering teams to gather requirements, evaluate technologies, prototype solutions, and accelerate innovation
- Drive platform modernization initiatives leveraging cloud-native architectures, Kubernetes, containers, serverless services, distributed computing, and modern data processing frameworks
- Ensure platform solutions meet enterprise requirements for security, governance, resiliency, scalability, availability, compliance, and operational excellence
- Establish and enforce CI/CD, Infrastructure-as-Code, automation, and DevSecOps practices to improve developer productivity and platform reliability
- Provide technical mentorship, conduct architecture reviews, perform code reviews, and champion engineering excellence across teams
- Own critical technology decisions and communicate architectural direction effectively to technical and executive stakeholders
Requirements:
- Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or related technical discipline
- 10+ years of hands-on experience designing and building enterprise-scale AI, Data Science, Data Engineering, Metadata, Data Quality, and Analytics platforms
- Proven experience architecting and implementing enterprise Generative AI platforms, including LLM integration, agent frameworks, retrieval systems, prompt orchestration, vector-enabled architectures, and AI governance capabilities
- Strong experience building self-service platforms supporting the complete AI/ML lifecycle, including data ingestion, feature engineering, experimentation, model development, deployment, inferencing, monitoring, and observability
- Deep understanding of modern AI and data platform architectures, including storage-compute separation, distributed processing, interactive development environments, containerization, and developer productivity tooling
- Experience designing and implementing metadata-driven platforms, semantic layers, data lineage, data quality frameworks, knowledge graphs, and enterprise data governance solutions
- Hands-on expertise with Python and modern AI/ML ecosystems, including open-source frameworks, libraries, and model-serving technologies
- Strong experience designing event-driven and streaming architectures using technologies such as Kafka, Apache Spark, Flink, or equivalent distributed processing frameworks
- Experience building and deploying scalable AI and data workloads on Kubernetes, containers, virtualized infrastructure, and cloud-native environments
- Practical experience developing enterprise-grade APIs, microservices, and distributed systems supporting high-volume data and AI workloads
- Experience implementing CI/CD, automated testing, infrastructure automation, and DevSecOps practices using enterprise toolchains
- Strong understanding of platform observability, monitoring, security, governance, reliability, recoverability, and operational excellence
- Proven ability to collaborate with cross-functional teams, influence architectural decisions, and communicate complex technical concepts to diverse audiences
- 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
Desirable:
- Experience building enterprise-wide GenAI ecosystems including AI gateways, model management, prompt management, vector databases, agent orchestration, and responsible AI capabilities
- Experience with Retrieval-Augmented Generation (RAG), agentic architectures, MCP servers, AI workflow orchestration, and enterprise knowledge platforms
- Strong knowledge of cloud-native AI and data platforms across public and private cloud environments
- Experience with developer platforms, internal AI copilots, self-service data products, and platform product management
- Experience establishing enterprise AI governance, compliance, risk controls, and responsible AI practices
- Demonstrated success leading large-scale platform transformations and modernizing legacy analytics and data science ecosystems
What’s in it for you?
- 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: 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.
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