About Our Company
Ameriprise India LLP has been providing client based financial solutions to help clients plan and achieve their financial objectives for 20 years. We are part of Ameriprise Financial Inc., a US financial planning company headquartered in Minneapolis with a global presence and diversified financial services leader with more than $1.5 trillion in assets under management, administration and advisement as of year-end 2024. The firm’s focus areas include Asset Management and Advice, Retirement Planning and Insurance Protection.
Be part of an inclusive, collaborative culture that rewards you for your contributions, and work with other talented individuals who share your passion for doing great work. You’ll also have plenty of opportunities to make your mark at the office and a difference in your community. So, if you're talented, driven and want to work for a strong, ethical company that cares, take the next step and create a career at Ameriprise India LLP.
Job Description
We are seeking a skilled and motivated AI/ML Platform Engineer to join our enterprise AI/ML platform team. The candidate will be responsible for supporting and operating AI/ML platforms such as Dataiku and Amazon SageMaker, while also contributing to the design and development of scalable AI/ML solutions across the enterprise.The role requires a combination of platform engineering, cloud operations, automation, DevOps, and AI/ML service enablement. The engineer will work closely with data scientists, ML engineers, application teams, cloud engineering teams, and business stakeholders to enable secure, reliable, and governed AI/ML capabilities.
The successful candidate should have practical experience with AWS AI/ML services, platform operations, infrastructure-as-code, CI/CD pipelines, and enterprise-grade deployment patterns.
We are seeking a skilled and motivated AI/ML Platform Engineer to join our enterprise AI/ML platform team. The candidate will be responsible for supporting and operating AI/ML platforms such as Dataiku and Amazon SageMaker, while also contributing to the design and development of scalable AI/ML solutions across the enterprise.
The role requires a combination of platform engineering, cloud operations, automation, DevOps, and AI/ML service enablement. The engineer will work closely with data scientists, ML engineers, application teams, cloud engineering teams, and business stakeholders to enable secure, reliable, and governed AI/ML capabilities.
The successful candidate should have practical experience with AWS AI/ML services, platform operations, infrastructure-as-code, CI/CD pipelines, and enterprise-grade deployment patterns.
Key ResponsibilitiesPlatform Operations and Support- Support day-to-day operations of enterprise AI/ML platforms such as Dataiku and Amazon SageMaker.
- Manage platform availability, performance, access, configurations, monitoring, and operational health.
- Assist users with onboarding, troubleshooting, environment setup, and platform-related issues.
- Support upgrades, patching, environment maintenance, and operational improvements.
- Work with infrastructure, security, and cloud teams to ensure platform compliance with enterprise standards.
- Work with AWS AI/ML services including: Amazon SageMaker Amazon Bedrock AWS AgentCore Amazon Q Amazon QuickSight Other related AWS analytics and AI/ML services
- Help design and implement AI/ML workloads using AWS-native capabilities.
- Support experimentation, prototyping, and production deployment of AI/ML and Generative AI use cases.
- Assist in implementing governance, guardrails, monitoring, and operational controls for enterprise AI/ML workloads.
- Collaborate with data scientists, ML engineers, and business teams to design AI/ML solutions.
- Develop reusable platform components, automation scripts, templates, and deployment patterns.
- Support development of enterprise AI/ML use cases using Dataiku, SageMaker, Bedrock, and other AWS services.
- Help convert prototypes into scalable, maintainable, and production-ready solutions.
- Contribute to solution architecture discussions and technical design documentation.
- Develop and maintain CI/CD pipelines for AI/ML platform components and solution deployments.
- Use tools and technologies such as: Git Jenkins Bash scripting CloudFormation Terraform CI/CD workflow automation
- Implement infrastructure-as-code and configuration-as-code practices.
- Automate repetitive operational tasks to improve platform reliability and efficiency.
- Follow enterprise release management, change management, and deployment standards.
- Support implementation of monitoring, logging, alerting, and operational dashboards.
- Ensure AI/ML platforms and workloads follow enterprise security, compliance, and governance requirements.
- Assist in access management, role-based controls, audit logging, and environment isolation.
- Contribute to cost optimization, usage reporting, and platform adoption tracking.
- Support incident management, root cause analysis, and continuous improvement initiatives.
- Create and maintain dashboards and operational reports as required.
- Develop dashboards using Power BI for platform usage, adoption, operational metrics, or business reporting.
- Experience with dashboarding is preferred, though it is not the primary focus of the role.
- 3–5 years of experience in platform engineering, cloud engineering, DevOps, data engineering, or AI/ML platform support.
- Hands-on experience with Dataiku operations or similar enterprise data science platforms.
- Working knowledge of Amazon SageMaker operations, including notebooks, jobs, models, endpoints, pipelines, and related services.
- Understanding of AWS AI/ML services such as Bedrock, AgentCore, Amazon Q, QuickSight, and related cloud services.
- Experience supporting AI/ML workloads in an enterprise environment.
- Strong understanding of CI/CD patterns and DevOps practices.
- Hands-on experience with: Git Jenkins Bash scripting CloudFormation Terraform
- Good understanding of AWS IAM, networking basics, logging, monitoring, and security best practices.
- Ability to automate operational tasks and build reusable deployment patterns.
- Strong troubleshooting, analytical, and problem-solving skills.
- Ability to work with cross-functional teams including data scientists, engineers, architects, and business users.
- Experience designing or deploying Generative AI solutions using AWS Bedrock or related services.
- Knowledge of LLM operations, prompt management, model evaluation, guardrails, and governance.
- Experience with ML lifecycle concepts such as data preparation, training, evaluation, deployment, monitoring, and retraining.
- Familiarity with containerization technologies such as Docker.
- Experience with Python or other scripting/programming languages.
- Exposure to enterprise security and compliance practices.
- Experience creating dashboards in Power BI.
- Familiarity with Agile delivery practices and enterprise change management.
The candidate should have exposure to some or most of the following:
- Platforms: Dataiku, Amazon SageMaker
- AWS AI/ML Services: SageMaker, Bedrock, AgentCore, Amazon Q, QuickSight
- DevOps Tools: Git, Jenkins, Bash
- Infrastructure as Code: CloudFormation, Terraform
- Dashboarding: Power BI, QuickSight
- Cloud Platform: AWS
- Other: IAM, CloudWatch, Docker, CI/CD pipelines, automation scripts
In-Office Collaboration
- We are a client-centric, relationship-based business. Working together, in-person, is foundational to how we achieve results. By fostering a culture of face-to-face collaboration, idea sharing, productivity and personal connection, we deliver for our stakeholders — clients, advisors, employees and shareholders. Our employees work in the office at least three (3) days per week, with flexibility to work from home two (2) days per week. Some roles may require additional in-office time or different in-office expectations, and specific requirements will be discussed during the hiring process.
Full-Time/Part-Time
Timings
India Business Unit
Job Family Group
Ameriprise India LLP is an equal opportunity employer. We consider all qualified applicants without regard to race, color, religion, sex, genetic information, age, sexual orientation, gender identity, disability, military status, veteran status, marital status, pregnancy, family status or any other basis prohibited by law.
We are committed to fostering an inclusive and accessible recruitment process for individuals with disabilities. If you require a reasonable accommodation to participate in the application or interview process, speak to your recruiter to discuss how we can support you.
Skills Required
- 3-5 years of experience in platform engineering, cloud engineering, DevOps, data engineering, or AI/ML platform support
- Hands-on experience with Dataiku operations or similar enterprise data science platforms
- Working knowledge of Amazon SageMaker operations (notebooks, jobs, models, endpoints, pipelines)
- Familiarity with AWS AI/ML services such as Bedrock, AgentCore, Amazon Q, QuickSight
- Experience supporting AI/ML workloads in an enterprise environment
- Strong understanding of CI/CD patterns and DevOps practices
- Hands-on experience with Git, Jenkins, and Bash scripting
- Experience with Infrastructure-as-Code: CloudFormation and Terraform
- Good understanding of AWS IAM, networking basics, logging, monitoring, and security best practices
- Ability to automate operational tasks and build reusable deployment patterns
- Strong troubleshooting, analytical, and problem-solving skills
- Ability to work with cross-functional teams including data scientists, engineers, architects, and business users
- Experience designing or deploying Generative AI solutions using AWS Bedrock (preferred)
- Knowledge of LLM operations, prompt management, model evaluation, guardrails, and governance (preferred)
- Familiarity with Docker and containerization (preferred)
- Experience with Python or other scripting/programming languages (preferred)
- Experience creating dashboards in Power BI (preferred)
- Exposure to enterprise security and compliance practices (preferred)
Ameriprise Financial Services, LLC Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Ameriprise Financial Services, LLC and has not been reviewed or approved by Ameriprise Financial Services, LLC.
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Retirement Support — Feedback suggests a 401(k) with company contributions and financial well‑being programs strengthens long‑term savings. Employee stock purchase access and planning subsidies further support retirement readiness.
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Strong & Reliable Incentives — Feedback suggests annual and long‑term performance incentives, alongside variable or commission components in advisor roles, can create meaningful upside for certain positions. Licensing support and bonus opportunities reinforce a performance‑linked pay mix.
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Flexible Benefits — Feedback suggests flexible work options, the ability to purchase extra vacation, and paid volunteer time provide adaptable benefits for different life needs. On‑site clinic and fitness resources at headquarters and wellbeing programs add convenient lifestyle support.
Ameriprise Financial Services, LLC Insights
What We Do
Ameriprise Financial has helped millions of clients feel confident about their financial futures for more than 125 years. Our network of approximately 10,000 financial advisors* delivers personalized financial advice to help clients reach their goals. We believe that with the right advisor, the right advice, and the right firm, life can be brilliant. Ameriprise has corporate locations throughout the U.S. and across the globe, and advisor offices in all 50 states. Learn how you can build your career at Ameriprise Financial. *Ameriprise Financial Q2 2020 Statistical Supplement All content on this page is provided for informational purposes only and should not be used as the sole basis for investment decisions. Ameriprise Financial cannot guarantee future financial results. Investment products are not federally or FDIC insured, are not deposits or obligations of, or guaranteed by, any financial institution, and involve investment risks including possible loss of the entire amount invested. By clicking on a hyperlink, you may be directed to a non-Ameriprise website. Be aware that the linked site will be subject to rules, regulation, and privacy and security provisions that are separate, and may differ, from Ameriprise Financial. Investment advisory products and services are made available through Ameriprise Financial Services, LLC., a registered investment adviser.
