ChatGPT Jobs · 7 hours ago
Senior AI Engineer
ClearBridge Investments is seeking a Senior AI Engineer to join their New York City-based Technology team to design, build, and productionize AI systems that materially improve investment and enterprise workflows. This role is hands-on, involving the integration of various AI platforms and delivering measurable outcomes for research and operations teams.
Computer Software
Responsibilities
Ship AI features and internal applications from discovery to POC to production with clear success criteria and telemetry
Architect LLM solutions including retrieval augmented generation, tool use, agentic flows, and structured output pipelines
Integrate and govern ChatGPT Enterprise, Perplexity Enterprise, and Wand.ai. Implement SSO and SCIM, usage analytics, cost controls, and data scoping
Own build versus buy. Run vendor pilots, compare to internal builds, quantify TCO, lock in risk, compliance posture, and speed to value. Present recommendations and rollout plans
Implement LLMOps. Version prompts and configs, stand up evaluation datasets and harnesses, run offline and online tests, monitor latency, quality, safety, and cost, and maintain rollback strategies
Engineer reliable retrieval over access-controlled content. Design chunking, embeddings, reranking, and output validation aligned to entitlements, PII, retention, and audit needs
Convert low code prototypes into maintainable services where appropriate. Keep core logic in tested code with APIs, workers, and queues
Partner with stakeholders to frame problems, map processes, and quantify ROI. Produce concise design docs, run demos, and publish runbooks
Collaborate with security, risk, and compliance to define guardrails, incident playbooks, and monitoring for prompt injection and data leakage
Coordinate with developers, QA, and UAT to move solutions through environments with CI and automated checks
Qualification
Required
7 to 10 years in software or ML engineering shipping production systems, including 2 or more years building with LLMs in production
Strong coding in Python or TypeScript. Experience with APIs, workers, queues, and event driven services
Proven integrations with enterprise AI platforms. Expertise in SSO, SCIM, tenant isolation, data scoping, usage analytics, and cost management
LLM solution patterns. Retrieval design, chunking, embeddings, reranking, tool calling, structured output validation, and evaluation
Azure fluency. Azure OpenAI, Copilot Studio, App Services or AKS, identity and access, Key Vault, storage, networking basics
Data skills. SQL and pragmatic data engineering for operational systems
Excellent communication. Ability to run discovery, write sharp specs, and present tradeoffs to senior stakeholders
Preferred
Asset management or broader financial services experience
Microsoft ecosystem experience. Power Platform, Copilot Studio, Graph, Teams, SharePoint
Vector databases such as Azure AI Search, Redis, Pinecone, or pgvector
Orchestration tools such as Semantic Kernel, LangChain, guidance libraries, or simple custom state machines
Frontend for internal tools. React or Power Apps
Familiarity with process mining and business process optimization
Benefits
Health, wellness and risk benefits to protect employees and their families
Retirement savings, stock purchase and other incentive programs to help employees plan for the future
Holiday, paid-time-off and other employee programs that support work-life balance
Support for pursuing certifications, external education and degree programs
Learning, development and career advancement opportunities
Ways to get involved in, and give back to, our communities, including paid time off for volunteering and charitable donation matching
Company
ChatGPT Jobs
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Funding
Current Stage
Early StageCompany data provided by crunchbase