Sr Engineer, AI & ML Engineering

Job Overview:

Responsibilities:

• Lead the end-to-end development of agentic AI systems leveraging AWS (SageMaker, Lambda, Step Functions, ECS/EKS) and open-source orchestration frameworks (LangChain, Hugging Face, etc.)
• Build reliable RAG and multi-agent architectures with vector databases (FAISS, Pinecone, OpenSearch)
• Drive model governance — versioning, access control, audit trails, and risk reviews aligned with LPL’s compliance standards
• Stay up-to-date on the latest advancements in industry and technology solutions, bringing insights to the team for continuous development of our stack, solutions and ways of working
• What are we looking for?
• We’re looking for strong collaborators who deliver exceptional client experiences and thrive in fast-paced, team-oriented environments. Our ideal candidates pursue greatness, act with integrity, and are driven to help our clients succeed. We value those who embrace creativity, continuous improvement, and contribute to a culture where we win together and create and share joy in our work.

Requirements:

• Bachelor’s or Master’s degree in Computer Science, Data Science or a related field (year's experience may apply to cover this requirement)
• 7+ years of software engineering experience, with 3+ years leading ML/AI initiatives
• Strong experience building/managing agentic solutions with solid understanding of agent orchestration, tool use, and guardrails for autonomous systems
• Strong experience building/managing Knowledge Graphs (entity extraction, linkage, ontology design)
• Experience integrating Knowledge Graph with AI Systems for retrieval, reasoning, agent context (enriching with LLM)
• Proven expertise deploying ML and LLM solutions on AWS (SageMaker, Bedrock, ECS, Lambda
• Deep knowledge of open-source ML frameworks (PyTorch, TensorFlow, Hugging Face Transformers)
• Strong experience with MLOps and infrastructure-as-code (Terraform, Docker, Kubernetes)
• Prefernces:
• Familiarity with Azure AI, Vertex AI, or multi-cloud deployments a plus
• Core Competencies:
• Partner with product and business stakeholders to identify and deliver upon high-impact AI opportunities across advisor experiences and enterprise automation
• Mentor engineers, set best practices, and guide the adoption of LLMOps and model observability
• Collaborate with cybersecurity, risk, and data governance teams to ensure responsible model usage and policy alignment
• LPL Global Business Services, LLP - PRIVACY POLICY

Preferred Qualifications

• Familiarity with Azure AI, Vertex AI, or multi-cloud deployments a plus