Senior Artificial Intelligence Engineer

Ameriprise Financial Services, LLC

. Engineer a technology stack for AI-powered insight generation and analytics .

Posted 10/27/2026full-timeHyderabad • IndiaSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing AI-powered applications and scalable solutions for investment management, with a strong foundation in Python programming, cloud computing, and generative AI models. Capable of translating complex business requirements into technical solutions while collaborating effectively with diverse teams.

Highest-signal resume keywords

Advanced Python ProgrammingGenerative AI Models ExperienceCloud Computing and ContainerizationFull-Stack Development SkillsRESTful API Development

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Applicant Tracking System Keywords

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Hard Skills

Data StructuresAlgorithmsSoftware DevelopmentPrompt EngineeringFine TuningRAG ImplementationGitCI/CD PipelinesWeb ArchitectureMicroservices

Soft Skills

Problem-Solving AbilitiesAnalytical MindsetExcellent Communication SkillsCollaboration with Global TeamsAdaptability in Agile Environments

Tools & Technologies

AWS ServicesMonitoring ToolsObservability ToolsVector DatabasesAutomated Workflow Design

Industry Keywords

Financial ServicesInvestment ManagementData Engineering PrinciplesWeb ScrapingData Extraction Techniques

Tech Stack

Tools & technologies

AWSCloudJavaScriptMicroservicesPythonReact

About the role

Key responsibilities & impact

Engineer a technology stack for AI-powered insight generation and analytics
Build scalable solutions to improve investment management workflows and efficiencies
Integrate technology stacks with LLMs for insight generation and workflow automation
Accelerate generative AI adoption across distribution, investments, and investment operations
Develop production-grade LLM-integrated applications from concept to deployment
Design and implement automated workflows for complex investment processes
Evaluate and implement generative AI models and frameworks
Build proof-of-concept solutions
Partner with stakeholders to translate business requirements into technical solutions
Communicate complex AI concepts to non-technical stakeholders
Collaborate with global teams, data engineers, technologists, and product owners
Architect scalable, production-grade AI systems
Optimize workflows and tools through AI automation while meeting performance, security, and compliance standards
Perform code reviews and contribute to technical architecture and documentation

Requirements

What you’ll need

Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field
Strong academic background with coursework in data structures, algorithms, and software development preferred
Engineering (B.E./ B. Tech.) graduate or Masters (Stats, Quant, Mathematics, etc.) from a well-recognized institute
Strong software engineering fundamentals with hands-on development experience
Proven ability to translate complex business requirements into technical solutions
Advanced Python programming
Experience with generative AI models, prompt engineering, fine tuning, and RAG implementation
Strong foundation in cloud computing and containerization
Proficiency with Git and CI/CD pipelines
Deep understanding of LLM capabilities and responsible AI practices
Experience with RAG architectures and vector databases
Full-stack development skills, including React/JavaScript frontend development
Experience building and maintaining RESTful APIs
Understanding of web architecture and microservices
Experience with AWS services, cloud-native architectures, scalable and secure deployment patterns
Familiarity with monitoring and observability tools
Ability to handle large-scale datasets and knowledge of data engineering principles
Knowledge of automated workflow design and implementation
Strong problem-solving abilities and analytical mindset
Excellent communication skills with technical and non-technical stakeholders
Demonstrated ability to work in fast-paced, agile environments
Comfortable working with globally distributed teams
Financial services or investment management background preferred
Experience with web scraping and data extraction techniques preferred
Open-source contributions or side development projects preferred

Benefits

Comp & perks

Inclusive, collaborative culture
Opportunities to make an impact at the office and in the community
Hybrid work arrangement: office at least three days per week and work from home two days per week
Flexible in-office expectations depending on role
Reasonable accommodation support during recruitment and interviews