About LPL Financial :

At LPL Financial Global Capability Center, you'll find a collaborative culture where your voice matters, integrity guides every decision, and technology fuels progress. Your skills, talents, and ideas will redefine what's possible. LPL's success reflects its exceptional employees, who together pursue one noble purpose: empowering financial advisors to deliver personalized advice for all who need it. We are proud to expand in Hyderabad.

Job Overview :

The Assistant Vice President, AI/ML Engineering, Tech Lead is a senior technical leader responsible for architecting, building, and operationalizing the AI systems that will transform LPL's advisor, client, and operational experiences. This role guides the engineering of LLM-driven applications, agentic AI systems, autonomous workflows, retrieval-augmented generation (RAG), and the enterprise Knowledge Graph, all built within a scalable, governed, cloud-native environment.

Responsibilities :

- AI/ML Architecture & Agentic System Design: Architect and lead implementation of agentic AI systems capable of multi-step reasoning, tool use, workflow orchestration, and domain-specific autonomy.

- AWS Bedrock - Driven AI Platform Engineering: Lead adoption of AWS Bedrock for model selection, orchestration, governance, and enterprise scaling of LLMs and generative AI.

- Knowledge Graph & Semantic Intelligence: Own engineering and operationalization of the Enterprise Knowledge Graph and integrate it with LLM and agent frameworks as a structured reasoning layer.

- ML Engineering & MLOps: Build and maintain automated pipelines for training, evaluation, deployment, and monitoring of traditional and generative ML models.

- Engineering Delivery & Cross-Team Collaboration: Partner deeply with DIME to ensure upstream data pipelines meet enterprise AI-grade requirements.

Requirements :

- 8+ years of software engineering experience, with 3+ years in hands-on leadership of ML/AI initiatives.

- Full-stack proficiency building agentic/chat web experiences with Angular + TypeScript and Python (Flask/FastAPI).

- Hands-on expertise with LLMs, embeddings, RAG, vector search, and agentic AI development.

- Proficiency in Python, PyTorch, TensorFlow, Hugging Face, and graph databases (Neptune, Neo4j).

- Strong experience with MLOps and infrastructure-as-code (Terraform, Docker, Kubernetes).

Core Competencies :

- Provide architectural and engineering leadership across AI/ML Engineering.

- Mentor engineers on ML system design, LLM development, and cloud-native AI delivery.

- Shape LPL's enterprise AI roadmap and translate complex AI concepts into executive-ready narratives.