Job Description:

About the Role:

We are seeking a highly skilled and innovative AI Solutions Engineer to join our team and lead the development of intelligent, scalable, and cloud-native AI solutions. This role is ideal for someone passionate about open-source AI, LLMs, and modernizing legacy systems using cutting-edge technologies. You will work on advanced search, NLP, and autonomous AI agents, while also driving proof-of-concepts (POCs) and demos that showcase the power of AI in real-world enterprise applications.

Key Responsibilities:

• Design and implement semantic search and retrieval systems to enhance chatbot, virtual assistant and Q&A capabilities.
• Build and optimize NLP pipelines for document extraction, entity recognition, and contextual understanding.
• Develop POCs and demo applications using open-source AI/ML libraries to:
  • Analyze and modernize legacy code (e.g., COBOL to Python/Java).
  • Demonstrate autonomous AI agents capable of handling bug fixes and feature development.
• Leverage AWS (SageMaker, Bedrock, OpenSearch) and Azure (OpenAI, Cognitive Services) to deploy scalable, production-grade AI solutions.
• Drive end-to-end AI development, including:
  • Model training and fine-tuning
  • Evaluation and benchmarking
  • Deployment and monitoring
  • Observability, feedback loops, and retraining
• Stay current with the latest in open-source AI ecosystems, and evaluate tools for integration into internal platforms.

Must-Have Skills:

• Strong programming skills in Python and familiarity with Java or other modern languages.
• Hands-on experience with LLMs (e.g., OpenAI, Hugging Face Transformers, Mistral, LLaMA).
• Deep understanding of NLP techniques including named entity recognition, text classification, and semantic search.
• Proficiency in open-source AI tools (e.g., LangChain, Haystack, RAG frameworks, vector DBs like FAISS, Weaviate, or Pinecone).
• Proven experience deploying AI applications using AWS (SageMaker, Bedrock, OpenSearch, Textract) and Azure (OpenAI, Cognitive Services).
• Solid understanding of end-to-end AI lifecycle, including monitoring, observability, evaluation, and retraining.
• Experience with at least 1-2 real-world AI deployments in production environments.

Nice-to-Have Skills:

• Experience with agentic AI systems (e.g., Langgraph, SWE-agent, AutoGPT, Code Interpreter agents).
• Familiarity with legacy code analysis and automated code transformation tools.
• Background in document AI, OCR, and intelligent document processing.
• Experience with MLOps, CI/CD pipelines, and model versioning.
• Contributions to open-source AI projects or research publications.

Why Join Us?

• Work on high-impact AI initiatives that shape the future of enterprise automation.
• Collaborate with a visionary team at the forefront of AI innovation.
• Opportunity to experiment with the latest in open-source and cloud-native AI technologies.
• Flexible work environment and strong support for professional growth.

Certifications:

Category:

Fidelity's hybrid working model blends the best of both onsite and offsite work experiences. Working onsite is important for our business strategy and our culture. We also value the benefits that working offsite offers associates. Most hybrid roles require associates to work onsite every other week (all business days, M-F) in a Fidelity office.

Please be advised that Fidelity's business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories.