Senior Analyst Automation

Our vision for the future is based on the idea that transforming financial lives starts by giving our people the freedom to transform their own. We have a flexible work environment, and fluid career paths. We not only encourage but celebrate internal mobility. We also recognize the importance of purpose, well-being, and work-life balance. Within Empower and our communities, we work hard to create a welcoming and inclusive environment, and our associates dedicate thousands of hours to volunteering for causes that matter most to them. Chart your own path and grow your career while helping more customers achieve financial freedom. Empower Yourself. Sr Analyst Automation is responsible for providing assistance to teams for multiple concurrent and also utilizes development experience automating and refactoring complex application stacks within a heterogeneous computing environment. Also utilizes an understanding of multi-layered technological delivery solutions.

Job Description Responsible for designing, developing, deploying, and optimizing AI-powered applications and intelligent automation solutions. The role leverages expertise in cloud-based AI services, large language models (LLMs), and software development to build scalable, secure, and production-ready AI solutions within a heterogeneous technology environment. ESSENTIAL FUNCTIONS: Design, develop, deploy, and maintain AI/ML applications using AWS services, including Amazon Bedrock , Lambda, S3, API Gateway, and other cloud-native components. Build, integrate, and optimize Generative AI solutions utilizing foundation models available through Amazon Bedrock for conversational AI, content generation, document processing, and intelligent automation. Develop robust backend services and AI workflows using Python and SQL for data processing, model integration, and business logic implementation. Design and implement Retrieval-Augmented Generation (RAG) pipelines, prompt engineering strategies, and vector-based knowledge retrieval solutions. Develop APIs and microservices to integrate AI capabilities with enterprise applications and business processes. Optimize AI application performance by improving inference efficiency, prompt design, data pipelines, and cloud resource utilization. Implement data ingestion, transformation, validation, and storage processes to ensure high-quality data for AI applications. Monitor AI solutions for performance, reliability, security, and cost optimization while ensuring compliance with organizational standards. Collaborate with business stakeholders, data engineers, solution architects, and development teams to translate business requirements into AI-driven solutions. Document AI architectures, workflows, APIs, prompt libraries, and deployment processes to support maintainability and knowledge sharing. Troubleshoot production issues, perform root cause analysis, and continuously improve AI applications through iterative enhancements. QUALIFICATIONS: Overall, 5 + years of experience in software development, AI engineering, or cloud-based application development. Bachelor's or Master's degree in Computer Science, Information Technology, Artificial Intelligence, Data Science, or a related field is preferred. Hands-on experience with AWS Cloud Services , including Amazon Bedrock and related AI/ML services. Experience developing AI applications using Python and working with SQL databases. Knowledge of Large Language Models (LLMs), prompt engineering, Retrieval-Augmented Generation (RAG), and Generative AI concepts. Experience building RESTful APIs and integrating AI services into enterprise applications. Understanding of cloud-native architecture, serverless computing, and scalable application design. Strong analytical, problem-solving, and debugging skills. Knowledge of software development best practices, version control, testing, and CI/CD methodologies. Excellent communication, collaboration, and stakeholder management skills. Ability to troubleshoot complex technical issues and deliver scalable, production-ready AI solutions. Experience working with Snowflake for cloud data warehousing, data integration, and analytics is an added advantage.

This job description is not intended to be an exhaustive list of all duties, responsibilities and qualifications of the job.  The employer has the right to revise this job description at any time.   You will be evaluated in part based on your performance of the responsibilities and/or tasks listed in this job description.   You may be required perform other duties that are not included on this job description.  The job description is not a contract for employment, and either you or the employer may terminate employment at any time, for any reason. We are an equal opportunity employer with a commitment to diversity.  All individuals, regardless of personal characteristics, are encouraged to apply.  All qualified applicants will receive consideration for employment without regard to age, race, color, national origin, ancestry, sex, sexual orientation, gender, gender identity, gender expression, marital status, pregnancy, religion, physical or mental disability, military or veteran status, genetic information, or any other status protected by applicable state or local law.