Sr Engineer, AI & ML Engineering
LPL Financial (company site, opens in a new tab)7+ yrsHyderabadOn-siteDirect career pageEst. 30–45 LPA
Posted 20h ago
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Job description
Structured overview of role & requirements
About This Role
- Architect and lead the design and deployment of production-grade agentic AI systems and generative model platforms at LPL's Global Capability Center.
- Define and enforce standards for AI model deployment, governance, audit trails, and observability in compliance with enterprise policies.
- Mentor and guide a growing engineering team to deliver scalable, innovative, and compliant AI features across the financial services enterprise.
Minimum Requirements
- Bachelor's or Master's degree in Computer Science, Data Science, or related field (experience may substitute for education).
- Minimum 7 years of software engineering experience, including at least 3 years leading machine learning (ML) or artificial intelligence (AI) initiatives.
- Strong hands-on experience building and managing agentic AI solutions with expertise in orchestration frameworks, guardrails for autonomous systems, and knowledge graphs (entity extraction, linkage, ontology design).
- Proven experience deploying ML and large language model (LLM) solutions on AWS services including SageMaker, Bedrock, ECS, Lambda.
Ideal Candidate Profile
- Experienced in building scalable, compliant AI systems intersecting finance and automation, capable of influencing enterprise AI roadmaps and strategy.
- Skilled in cross-functional collaboration with engineering, compliance, product, cybersecurity, and governance teams to ensure responsible AI use.
- Demonstrated ability to mentor engineers and lead best practices adoption in LLMOps, model observability, and MLOps infrastructure automation tools (Terraform, Kubernetes, Docker).