8 days ago
Westlake, TX, USAStaff+
Responsibilities
- Develop and deploy production-ready AI and machine learning solutions using LLMs, RAG architectures, and agentic AI frameworks.
- Build scalable data foundations, APIs, and cloud-based AI infrastructure.
- Integrate AI capabilities with enterprise applications, data platforms, and business workflows.
- Establish monitoring, observability, governance, and MLOps practices to ensure performance, reliability, and scalability.
- Partner with business and technology teams to translate complex challenges into measurable business outcomes.
- Evaluate emerging technologies and apply them to lead generation, product recommendations, coverage strategy optimization, and client engagement.
Requirements
- Bachelor's or Master's degree or equivalent experience in Computer Science, Engineering, Data Science, or a related field.
- 6+ years of software or AI/ML engineering experience, including building and deploying AI solutions in production environments.
- Practical experience with LLMs, prompt and context engineering, RAG architectures, and agentic AI frameworks.
- Advanced proficiency in Python and experience building clean, maintainable, well-tested production applications.
- Strong experience designing APIs and integrating AI with enterprise applications, data platforms, and business workflows.
- Experience deploying cloud-native AI solutions and applying monitoring, observability, governance, and MLOps practices.
- Experience with AWS, Snowflake, dbt, Airflow, LangChain, LangGraph, or similar technologies.
- Strong systems-thinking, problem-solving, communication, collaboration, and business-impact assessment skills.
Benefits
- Fidelity is transitioning to a full-time onsite working model through a phased rollout; current onsite requirements vary by region and role, and the transition does not apply to fully remote roles.
Categories
About Fidelity
Fidelity Investments provides brokerage, retirement plan recordkeeping, wealth management, and asset management services to individuals, employers, advisors, and institutions, plus online trading platforms and mutual funds and ETFs. It earns fees from managing and administering assets, advisory services, and brokerage transactions. Founded in 1946 and headquartered in Boston, it is privately held and administers trillions of dollars for U.S. and global customers.