Senior AI Engineer

Job Description

Senior AI Engineer

Company: ClearBridge Investments

Location: New York, NY (On-site, Remote)

Machine Learning & Artificial Intelligence

Salary: $114.30K - $157K/yr (Estimated pay)

Job Type: Full-time

Benefits: Medical, Retirement, PTO

Posted: 12 hours ago

Job Description

Senior AI Engineer, Business Solutions

ClearBridge Investments is seeking a Senior AI Engineer to join our 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. You will prototype quickly, harden what works, and decide when to build with APIs, extend our enterprise AI platforms, or buy from vendors. You will integrate ChatGPT Enterprise, Perplexity Enterprise, Microsoft Copilot, and Wand.ai with our Microsoft-centric stack, enforce governance, and deliver measurable outcomes for research, portfolio operations, client reporting, distribution, and support teams. Location is New York City hybrid.

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Demographics

Key Senior Business Engineer 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.

Qualifications

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.

Familiar With the Following Tools

Geographic Reference

• Microsoft Power Platform including Power Apps, Power Automate, Dataverse, and Power BI.
• OpenAI ecosystem including ChatGPT Enterprise, Azure OpenAI, GPT APIs, and Custom GPTs.
• Perplexity Enterprise and Wand.ai for research and workflow acceleration.
• Copilot Studio, AI Builder, Azure Bot Framework, REST APIs.
• Microsoft 365 stack including Teams, SharePoint, Azure App Services, Azure identity and access.
• Jira Cloud and the Atlassian suite for workflow automation, dashboards, and ticketing.
• Optional tools for delivery velocity. Figma, Whimsical, Miro for UI mockups, Postman, SQL, and Python for testing and data operations.

Total Rewards

Our employees have access to a competitive and valuable set of Total Rewards. Our Total Rewards include:

Machine Learning & Artificial Intelligence

• 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

The salary range for this position is targeted for $170,000 to $230,000 plus discretionary bonus. Base pay offered may vary depending on job related knowledge, skills, and experience.

ClearBridge is an Equal Opportunity Employer.